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40 results on '"Schweikard, A."'

2. Radiosurgery for ventricular tachycardia (RAVENTA): interim analysis of a multicenter multiplatform feasibility trial

Author

Krug, David, primary, Zaman, Adrian, additional, Eidinger, Lina, additional, Grehn, Melanie, additional, Boda-Heggemann, Judit, additional, Rudic, Boris, additional, Mehrhof, Felix, additional, Boldt, Leif-Hendrik, additional, Hohmann, Stephan, additional, Merten, Roland, additional, Buergy, Daniel, additional, Fleckenstein, Jens, additional, Kluge, Anne, additional, Rogge, Annette, additional, Both, Marcus, additional, Rades, Dirk, additional, Tilz, Roland Richard, additional, Olbrich, Denise, additional, König, Inke R., additional, Siebert, Frank-Andre, additional, Schweikard, Achim, additional, Vonthein, Reinhard, additional, Bonnemeier, Hendrik, additional, Dunst, Jürgen, additional, and Blanck, Oliver, additional

Published
2023
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3. Treatment planning for spinal radiosurgery

Author

Simon Heinze, Mark K. H. Chan, Scott G. Soltys, Joakim Nilsson, Uwe Haverkamp, U. Ramm, Stefan Wurster, Oliver Blanck, Erik de Klerck, Wilhelm den Toom, Pierre Fau, Samuel Ryu, Ante Mestrovic, Claus Rödel, Savino Cilla, Hans Theodor Eich, Jürgen Dunst, Janett Köhn, Guido Hildebrandt, Laura Masi, Ming Fong, Detlef Imhoff, Dirk Rades, Tewfik J. Bichay, Britta Loutfi-Krauss, Frank-André Siebert, Lei Wang, Christos Moustakis, Francesco Deodato, Alan Mayville, Achim Schweikard, Alessio G. Morganti, Ulrike Lambrecht, Jinkoo Kim, Fatemeh Ebrahimi, R. Doro, Isabel Palazon Cano, Alanah Bergman, and M. Milder

Subjects
Organs at Risk, medicine.medical_specialty, medicine.medical_treatment, Plan (drawing), Radiosurgery, Thoracic Vertebrae, Re-Irradiation, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Robotic Surgical Procedures, medicine, Humans, Dosimetry, Radiology, Nuclear Medicine and imaging, Medical physics, Radiation treatment planning, Aged, Spinal Neoplasms, business.industry, Radiotherapy Planning, Computer-Assisted, Radiotherapy Dosage, Multileaf collimator, Radiation therapy, Benchmarking, Oncology, 030220 oncology & carcinogenesis, Benchmark (computing), Dose Fractionation, Radiation, Radiotherapy, Intensity-Modulated, CyberKnife Radiosurgery, Neoplasm Recurrence, Local, business, Algorithms
Abstract

To investigate the quality of treatment plans of spinal radiosurgery derived from different planning and delivery systems. The comparisons include robotic delivery and intensity modulated arc therapy (IMAT) approaches. Multiple centers with equal systems were used to reduce a bias based on individual’s planning abilities. The study used a series of three complex spine lesions to maximize the difference in plan quality among the various approaches. Internationally recognized experts in the field of treatment planning and spinal radiosurgery from 12 centers with various treatment planning systems participated. For a complex spinal lesion, the results were compared against a previously published benchmark plan derived for CyberKnife radiosurgery (CKRS) using circular cones only. For two additional cases, one with multiple small lesions infiltrating three vertebrae and a single vertebra lesion treated with integrated boost, the results were compared against a benchmark plan generated using a best practice guideline for CKRS. All plans were rated based on a previously established ranking system. All 12 centers could reach equality (n = 4) or outperform (n = 8) the benchmark plan. For the multiple lesions and the single vertebra lesion plan only 5 and 3 of the 12 centers, respectively, reached equality or outperformed the best practice benchmark plan. However, the absolute differences in target and critical structure dosimetry were small and strongly planner-dependent rather than system-dependent. Overall, gantry-based IMAT with simple planning techniques (two coplanar arcs) produced faster treatments and significantly outperformed static gantry intensity modulated radiation therapy (IMRT) and multileaf collimator (MLC) or non-MLC CKRS treatment plan quality regardless of the system (mean rank out of 4 was 1.2 vs. 3.1, p = 0.002). High plan quality for complex spinal radiosurgery was achieved among all systems and all participating centers in this planning challenge. This study concludes that simple IMAT techniques can generate significantly better plan quality compared to previous established CKRS benchmarks.

Published
2018
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4. Tumor-dose-rate variations during robotic radiosurgery of oligo and multiple brain metastases

Author

Wilhelm, Maria-Lisa, primary, Chan, Mark K. H., additional, Abel, Benedikt, additional, Cremers, Florian, additional, Siebert, Frank-Andre, additional, Wurster, Stefan, additional, Krug, David, additional, Wolff, Robert, additional, Dunst, Jürgen, additional, Hildebrandt, Guido, additional, Schweikard, Achim, additional, Rades, Dirk, additional, Ernst, Floris, additional, and Blanck, Oliver, additional

Published
2020
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5. Radiosurgery for ventricular tachycardia: preclinical and clinical evidence and study design for a German multi-center multi-platform feasibility trial (RAVENTA)

Author

Blanck, Oliver, primary, Buergy, Daniel, additional, Vens, Maren, additional, Eidinger, Lina, additional, Zaman, Adrian, additional, Krug, David, additional, Rudic, Boris, additional, Boda-Heggemann, Judit, additional, Giordano, Frank A., additional, Boldt, Leif-Hendrik, additional, Mehrhof, Felix, additional, Budach, Volker, additional, Schweikard, Achim, additional, Olbrich, Denise, additional, König, Inke R., additional, Siebert, Frank-Andre, additional, Vonthein, Reinhard, additional, Dunst, Jürgen, additional, and Bonnemeier, Hendrik, additional

Published
2020
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6. Controlling motion prediction errors in radiotherapy with relevance vector machines

Author

Robert Dürichen, Achim Schweikard, and Tobias Wissel

Subjects
Mean squared error, Computer science, Biomedical Engineering, Health Informatics, Normal distribution, Relevance vector machine, Motion, Wavelet, Humans, Radiology, Nuclear Medicine and imaging, Computer vision, Probability, business.industry, Respiration, Robotics, General Medicine, Variance (accounting), Computer Graphics and Computer-Aided Design, Hybrid algorithm, Radiotherapy, Computer-Assisted, Computer Science Applications, Duty cycle, Metric (mathematics), Regression Analysis, Surgery, Computer Vision and Pattern Recognition, Artificial intelligence, business, Algorithm, Algorithms
Abstract

Robotic radiotherapy can precisely ablate moving tumors when time latencies have been compensated. Recently, relevance vector machines (RVM), a probabilistic regression technique, outperformed six other prediction algorithms for respiratory compensation. The method has the distinct advantage that each predicted point is assumed to be drawn from a normal distribution. Second-order statistics, the predicted variance, were used to control RVM prediction error during a treatment and to construct hybrid prediction algorithms. First, the duty cycle and the precision were correlated to the variance by interrupting the treatment if the variance exceeds a threshold. Second, two hybrid algorithms based on the variance were developed, one consisting of multiple RVMs ( $$\hbox {HYB}_{\textit{RVM}}$$ ) and the other of a combination between a wavelet-based least mean square algorithm (wLMS) and a RVM ( $$\hbox {HYB}_{\textit{wLMS}-\textit{RVM}}$$ ). The variance for different motion traces was analyzed to reveal a characteristic variance pattern which gives insight in what kind of prediction errors can be controlled by the variance. Limiting the variance by a threshold resulted in an increased precision with a decreased duty cycle. All hybrid algorithms showed an increased prediction accuracy compared to using only their individual algorithms. The best hybrid algorithm, $$\hbox {HYB}_{\textit{RVM}}$$ , can decrease the mean RMSE over all 304 motion traces from $$0.18\,$$ mm for a linear RVM to $$0.17\,$$ mm. The predicted variance was shown to be an efficient metric to control prediction errors, resulting in a more robust radiotherapy treatment. The hybrid algorithm $$\hbox {HYB}_{\textit{RVM}}$$ could be translated to clinical practice. It does not require further parameters, can be completely parallelised and easily further extended.

Published
2014
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7. Treatment planning for spinal radiosurgery

Author

Moustakis, Christos, primary, Chan, Mark K. H., additional, Kim, Jinkoo, additional, Nilsson, Joakim, additional, Bergman, Alanah, additional, Bichay, Tewfik J., additional, Palazon Cano, Isabel, additional, Cilla, Savino, additional, Deodato, Francesco, additional, Doro, Raffaela, additional, Dunst, Jürgen, additional, Eich, Hans Theodor, additional, Fau, Pierre, additional, Fong, Ming, additional, Haverkamp, Uwe, additional, Heinze, Simon, additional, Hildebrandt, Guido, additional, Imhoff, Detlef, additional, de Klerck, Erik, additional, Köhn, Janett, additional, Lambrecht, Ulrike, additional, Loutfi-Krauss, Britta, additional, Ebrahimi, Fatemeh, additional, Masi, Laura, additional, Mayville, Alan H., additional, Mestrovic, Ante, additional, Milder, Maaike, additional, Morganti, Alessio G., additional, Rades, Dirk, additional, Ramm, Ulla, additional, Rödel, Claus, additional, Siebert, Frank-Andre, additional, den Toom, Wilhelm, additional, Wang, Lei, additional, Wurster, Stefan, additional, Schweikard, Achim, additional, Soltys, Scott G., additional, Ryu, Samuel, additional, and Blanck, Oliver, additional

Published
2018
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8. Optimized order estimation for autoregressive models to predict respiratory motion

Author

Tobias Wissel, Robert Dürichen, and Achim Schweikard

Subjects
Computer science, Movement, Biomedical Engineering, Health Informatics, Information Criteria, Radiosurgery, Least mean squares filter, Wavelet, Computer Systems, Bayesian information criterion, Neoplasms, Humans, Radiology, Nuclear Medicine and imaging, Computer vision, Time series, business.industry, Respiration, Bayes Theorem, General Medicine, Models, Theoretical, Computer Graphics and Computer-Aided Design, Computer Science Applications, Autoregressive model, Hyperparameter optimization, Surgery, Computer Vision and Pattern Recognition, Artificial intelligence, Akaike information criterion, business, Algorithm, Algorithms
Abstract

To successfully ablate moving tumors in robotic radio-surgery, it is necessary to compensate for motion of inner organs caused by respiration. This can be achieved by tracking the body surface and correlating the external movement with the tumor position as it is implemented in the CyberKnife $$^\circledR $$ Synchrony system. Tracking errors, originating from system immanent time delays, are typically reduced by time series prediction. Many prediction algorithms exploit autoregressive (AR) properties of the signal. Estimating the optimal model order $$p$$ for these algorithms constitutes a challenge often solved via grid search or prior knowledge about the signal. Aiming at a more efficient approach instead, this study evaluates the Akaike information criterion (AIC), the corrected AIC, and the Bayesian information criterion (BIC) on the first minute of the respiratory signal. Exemplarily, we evaluated the approach for a least mean square (LMS) and a wavelet-based LMS (wLMS) predictor. Analyzing 12 motion traces, orders estimated by AIC had the highest prediction accuracy for both prediction algorithms. Extending the investigations to 304 real motion traces, the prediction error of wLMS using AIC was found to decrease significantly by 85.1 % of the data compared to the original implementation The overall results suggest that using AIC to estimate the model order $$p$$ for prediction algorithms based on AR properties is a valid method which avoids intensive grid search and leads to high prediction accuracy.

Published
2013
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9. Hand-assisted positioning and contact pressure control for motion compensated robotized transcranial magnetic stimulation

Author

Ralf Bruder, Lars Richter, and Achim Schweikard

Subjects
Computer science, medicine.medical_treatment, Biomedical Engineering, Health Informatics, Motion, Software, Pressure, medicine, Humans, Torque, Radiology, Nuclear Medicine and imaging, Neuronavigation, Simulation, Motion compensation, Phantoms, Imaging, business.industry, Usability, Equipment Design, Robotics, General Medicine, Transcranial Magnetic Stimulation, Computer Graphics and Computer-Aided Design, Computer Science Applications, Electromagnetic induction, Transcranial magnetic stimulation, Electromagnetic coil, Calibration, Robot, Surgery, Computer Vision and Pattern Recognition, business, Algorithms
Abstract

In Transcranial Magnetic Stimulation (TMS), the principle of magnetic induction is used to stimulate the brain non-invasively. Currently, robotic TMS systems are developed to guarantee precise coil placement on the head and in this way achieve the repeatability of stimulation results. However, usability concerns such as the complicated coil positioning are still unsolved for motion compensated robotized TMS. In this paper, we demonstrate the integration of a force-torque control into a robotic TMS system to improve usability, safety, and precision. We integrated a force-torque sensor between robot effector and TMS coil. Coil calibration and gravity compensation have been developed. Based on them, we have implemented hand-assisted positioning for easy and fast coil placement. Furthermore, we have enhanced the existing motion compensation algorithms with a contact pressure control. The positioning time for an experienced user decreased up to 40% with the help of hand-assisted positioning in comparison with not hand-assisted robotized positioning. It also enabled an inexperienced user to use the system safely. Integration of a force-torque control into the motion compensated robotized TMS system greatly enhances system’s usability, which is a prerequisite for integration in the clinical workflow and clinical acceptance.

Published
2012
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10. Forecasting pulsatory motion for non-invasive cardiac radiosurgery: an analysis of algorithms from respiratory motion prediction

Author

Ralf Bruder, Floris Ernst, Achim Schweikard, and Alexander Schlaefer

Subjects
Adult, Male, medicine.medical_specialty, Computer science, medicine.medical_treatment, Biomedical Engineering, Health Informatics, Radiosurgery, Young Adult, Predictive Value of Tests, Reference Values, Cyberknife, Internal medicine, Atrial Fibrillation, medicine, Humans, Radiology, Nuclear Medicine and imaging, Latency (engineering), Motion compensation, business.industry, Cardiac arrhythmia, Robotics, Atrial fibrillation, General Medicine, medicine.disease, Ablation, Computer Graphics and Computer-Aided Design, Computer Science Applications, Surgery, Computer-Assisted, Respiratory Mechanics, cardiovascular system, Cardiology, Surgery, Computer Vision and Pattern Recognition, Artificial intelligence, business, Algorithms, Forecasting
Abstract

Recently, radiosurgical treatment of cardiac arrhythmia, especially atrial fibrillation, has been proposed. Using the CyberKnife, focussed radiation will be used to create ablation lines on the beating heart to block unwanted electrical activity. Since this procedure requires high accuracy, the inevitable latency of the system (i.e., the robotic manipulator following the motion of the heart) has to be compensated for.We examine the applicability of prediction algorithms developed for respiratory motion prediction to the prediction of pulsatory motion. We evaluated the MULIN, nLMS, wLMS, SVRpred and EKF algorithms. The test data used has been recorded using external infrared position sensors, 3D ultrasound and the NavX catheter systems.With this data, we have shown that the error from latency can be reduced by at least 10 and as much as 75% (44% average), depending on the type of signal. It has also been shown that, although the SVRpred algorithm was successful in most cases, it was outperformed by the simple nLMS algorithm, the EKF or the wLMS algorithm in a number of cases.We have shown that prediction of cardiac motion is possible and that the algorithms known from respiratory motion prediction are applicable. Since pulsation is more regular than respiration, more research will have to be done to improve frequency-tracking algorithms, like the EKF method, which performed better than expected from their behaviour on respiratory motion traces.

Published
2010
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11. Forecasting respiratory motion with accurate online support vector regression (SVRpred)

Author

Achim Schweikard and Floris Ernst

Subjects
Computational complexity theory, Computer science, Biomedical Engineering, Health Informatics, Scale (descriptive set theory), Radiosurgery, Machine learning, computer.software_genre, Motion, Wavelet, Predictive Value of Tests, Humans, Radiology, Nuclear Medicine and imaging, business.industry, Respiratory motion, Reproducibility of Results, Signal Processing, Computer-Assisted, Pattern recognition, Percentage point, Robotics, General Medicine, Computer Graphics and Computer-Aided Design, Computer Science Applications, Support vector machine, Autoregressive model, Respiratory Mechanics, Regression Analysis, Robotic radiosurgery, Surgery, Computer Vision and Pattern Recognition, Artificial intelligence, business, computer, Algorithms
Abstract

To accurately deliver radiation in image-guided robotic radiosurgery, highly precise prediction algorithms are required. A new prediction method is presented and evaluated. SVRpred, a new prediction method based on support vector regression (SVR), has been developed and tested. Computer-generated data mimicking human respiratory motion with a prediction horizon of 150 ms was used for lab tests. The algorithm was subsequently evaluated on a respiratory motion signal recorded during actual radiosurgical treatment using the CyberKnife®. The algorithm’s performance was compared to the MULIN prediction methods and Wavelet-based multi scale autoregression (wLMS). The SVRpred algorithm clearly outperformed both the MULIN and the wLMS algorithms on both real (by 15 and 16 percentage points, respectively) and noise-corrupted simulated data (by 13 and 48 percentage points, respectively). Only on noise-free artificial data, the SVRpred algorithm did perform as well as the MULIN algorithms but not as well as the wLMS algorithm. This new algorithm is a feasible tool for the prediction of human respiratory motion signals significantly outperforming previous algorithms. The only drawback is the high computational complexity and the resulting slow prediction speed. High performance computers will be needed to use the algorithm in live prediction of signals sampled at a high resolution.

Published
2009
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12. A simulation and training environment for robotic radiosurgery

Author

Achim Schweikard, Alexander Schlaefer, and Jakub Gill

Subjects
business.industry, Computer science, Biomedical Engineering, Health Informatics, General Medicine, Workspace, Plan (drawing), Kinematics, Virtual reality, Computer Graphics and Computer-Aided Design, Computer Science Applications, Visualization, Software, Robotic radiosurgery, Radiology, Nuclear Medicine and imaging, Surgery, Computer vision, Computer Vision and Pattern Recognition, Artificial intelligence, business, Radiation treatment planning, Simulation
Abstract

To provide a software environment for simulation of robotic radiosurgery, particularly to study the effective robot workspace with respect to the treatment plan quality, and to illustrate the concepts of robotic radiosurgery. A simulation environment for a robotic radiosurgery system was developed using Java and Java3D. The kinematics and the beam characteristics were modeled and linked to a treatment planning module. Simulations of different robot workspace parameters for two example radiosurgical patient cases were performed using the novel software tool. The first case was an intracranial lesion near the left inner ear, the second case was a spinal lesion. The planning parameters for both cases were visualized with the novel simulation environment. An incremental extension of the robot workspace had limited effect for the intracranial case, where the original workspace already covered the left side of the patient. For the spinal case, a larger workspace resulted in a noticeable improvement in plan quality and a large portion of the beams being delivered from the extended workspace. The new software environment is useful to simulate and analyze parameters and configurations for robotic radiosurgery. An enlarged robot workspace may result in improved plan quality depending on the location of the target region.

Published
2008
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13. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Author

Newton, Adam J. H., primary, Seidenstein, Alexandra H., additional, McDougal, Robert A., additional, Pérez-Cervera, Alberto, additional, Huguet, Gemma, additional, M-Seara, Tere, additional, Haimerl, Caroline, additional, Angulo-Garcia, David, additional, Torcini, Alessandro, additional, Cossart, Rosa, additional, Malvache, Arnaud, additional, Skiker, Kaoutar, additional, Maouene, Mounir, additional, Ragognetti, Gianmarco, additional, Lorusso, Letizia, additional, Viggiano, Andrea, additional, Marcelli, Angelo, additional, Senatore, Rosa, additional, Parziale, Antonio, additional, Stramaglia, S., additional, Pellicoro, M., additional, Angelini, L., additional, Amico, E., additional, Aerts, H., additional, Cortés, J., additional, Laureys, S., additional, Marinazzo, D., additional, Bassez, I., additional, Faes, L., additional, Almgren, Hannes, additional, Razi, Adeel, additional, Van de Steen, Frederik, additional, Krebs, Ruth, additional, Aerts, Hannelore, additional, Kanari, Lida, additional, Dlotko, Pawel, additional, Scolamiero, Martina, additional, Levi, Ran, additional, Shillcock, Julian, additional, de Kock, Christiaan P.J., additional, Hess, Kathryn, additional, Markram, Henry, additional, Ly, Cheng, additional, Marsat, Gary, additional, Gillespie, Tom, additional, Sandström, Malin, additional, Abrams, Mathew, additional, Grethe, Jeffrey S., additional, Martone, Maryann, additional, De Gernier, Robin, additional, Solinas, Sergio, additional, Rössert, Christian, additional, Haelterman, Marc, additional, Massar, Serge, additional, Pasquale, Valentina, additional, Pastore, Vito Paolo, additional, Martinoia, Sergio, additional, Massobrio, Paolo, additional, Capone, Cristiano, additional, Tort-Colet, Núria, additional, Sanchez-Vives, Maria V., additional, Mattia, Maurizio, additional, Almasi, Ali, additional, Cloherty, Shaun L., additional, Grayden, David B., additional, Wong, Yan T., additional, Ibbotson, Michael R., additional, Meffin, Hamish, additional, Prince, Luke Y., additional, Tsaneva-Atanasova, Krasimira, additional, Mellor, Jack R., additional, Mazzoni, Alberto, additional, Rosa, Manuela, additional, Carpaneto, Jacopo, additional, Romito, Luigi M., additional, Priori, Alberto, additional, Micera, Silvestro, additional, Migliore, Rosanna, additional, Lupascu, Carmen Alina, additional, Franchina, Francesco, additional, Bologna, Luca Leonardo, additional, Romani, Armando, additional, Saray, Sára, additional, Van Geit, Werner, additional, Káli, Szabolcs, additional, Thomson, Alex, additional, Mercer, Audrey, additional, Lange, Sigrun, additional, Falck, Joanne, additional, Muller, Eilif, additional, Schürmann, Felix, additional, Todorov, Dmitrii, additional, Capps, Robert, additional, Barnett, William, additional, Molkov, Yaroslav, additional, Devalle, Federico, additional, Pazó, Diego, additional, Montbrió, Ernest, additional, Mochol, Gabriela, additional, Azab, Habiba, additional, Hayden, Benjamin Y., additional, Moreno-Bote, Rubén, additional, Balasubramani, Pragathi Priyadharsini, additional, Chakravarthy, Srinivasa V., additional, Muddapu, Vignayanandam R., additional, Gheorghiu, Medorian D., additional, Mimica, Bartul, additional, Withlock, Jonathan, additional, Mureșan, Raul C., additional, Zick, Jennifer L., additional, Schultz, Kelsey, additional, Blackman, Rachael K., additional, Chafee, Matthew V., additional, Netoff, Theoden I., additional, Roberts, Nicholas, additional, Nagaraj, Vivek, additional, Lamperski, Andrew, additional, Grado, Logan L., additional, Johnson, Matthew D., additional, Darrow, David P., additional, Lonardoni, Davide, additional, Amin, Hayder, additional, Di Marco, Stefano, additional, Maccione, Alessandro, additional, Berdondini, Luca, additional, Nieus, Thierry, additional, Stimberg, Marcel, additional, Goodman, Dan F. M., additional, Nowotny, Thomas, additional, Koren, Veronika, additional, Dragoi, Valentin, additional, Obermayer, Klaus, additional, Castro, Samy, additional, Fernandez, Mariano, additional, El-Deredy, Wael, additional, Xu, Kesheng, additional, Maidana, Jean Paul, additional, Orio, Patricio, additional, Chen, Weiliang, additional, Hepburn, Iain, additional, Casalegno, Francesco, additional, Devresse, Adrien, additional, Ovcharenko, Aleksandr, additional, Pereira, Fernando, additional, Delalondre, Fabien, additional, De Schutter, Erik, additional, Bratby, Peter, additional, Gallimore, Andrew R., additional, Klingbeil, Guido, additional, Zamora, Criseida, additional, Zang, Yunliang, additional, Crotty, Patrick, additional, Palmerduca, Eric, additional, Antonietti, Alberto, additional, Casellato, Claudia, additional, Erö, Csaba, additional, D’Angelo, Egidio, additional, Gewaltig, Marc-Oliver, additional, Pedrocchi, Alessandra, additional, Bytschok, Ilja, additional, Dold, Dominik, additional, Schemmel, Johannes, additional, Meier, Karlheinz, additional, Petrovici, Mihai A., additional, Shen, Hui-An, additional, Surace, Simone Carlo, additional, Pfister, Jean-Pascal, additional, Lefebvre, Baptiste, additional, Marre, Olivier, additional, Yger, Pierre, additional, Papoutsi, Athanasia, additional, Park, Jiyoung, additional, Ash, Ryan, additional, Smirnakis, Stelios, additional, Poirazi, Panayiota, additional, Felix, Richard A., additional, Dimitrov, Alexander G., additional, Portfors, Christine, additional, Daun, Silvia, additional, Toth, Tibor I., additional, Jędrzejewska-Szmek, Joanna, additional, Kabbani, Nadine, additional, Blackwel, Kim T., additional, Moezzi, Bahar, additional, Schaworonkow, Natalie, additional, Plogmacher, Lukas, additional, Goldsworthy, Mitchell R., additional, Hordacre, Brenton, additional, McDonnell, Mark D., additional, Iannella, Nicolangelo, additional, Ridding, Michael C., additional, Triesch, Jochen, additional, Maex, Reinoud, additional, Safaryan, Karen, additional, Steuber, Volker, additional, Tang, Rongxiang, additional, Tang, Yi-Yuan, additional, Verveyko, Darya V., additional, Brazhe, Alexey R., additional, Verisokin, Andrey Yu, additional, Postnov, Dmitry E., additional, Günay, Cengiz, additional, Panuccio, Gabriella, additional, Giugliano, Michele, additional, Prinz, Astrid A., additional, Varona, Pablo, additional, Rabinovich, Mikhail I., additional, Denham, Jack, additional, Ranner, Thomas, additional, Cohen, Netta, additional, Reva, Maria, additional, Rebola, Nelson, additional, Kirizs, Tekla, additional, Nusser, Zoltan, additional, DiGregorio, David, additional, Mavritsaki, Eirini, additional, Rentzelas, Panos, additional, Ukani, Nikul H., additional, Tomkins, Adam, additional, Yeh, Chung-Heng, additional, Bruning, Wesley, additional, Fenichel, Allison L., additional, Zhou, Yiyin, additional, Huang, Yu-Chi, additional, Florescu, Dorian, additional, Ortiz, Carlos Luna, additional, Richmond, Paul, additional, Lo, Chung-Chuan, additional, Coca, Daniel, additional, Chiang, Ann-Shyn, additional, Lazar, Aurel A., additional, Creaser, Jennifer L., additional, Lin, Congping, additional, Ashwin, Peter, additional, Brown, Jonathan T., additional, Ridler, Thomas, additional, Levenstein, Daniel, additional, Watson, Brendon O., additional, Buzsáki, György, additional, Rinzel, John, additional, Curtu, Rodica, additional, Nguyen, Anh, additional, Assadzadeh, Sahand, additional, Robinson, Peter A., additional, Sanz-Leon, Paula, additional, Forlim, Caroline G., additional, de Almeida, Lírio O. B., additional, Pinto, Reynaldo D., additional, Rodríguez, Francisco B., additional, Lareo, Ángel, additional, Forlim, Caroline Garcia, additional, Montero, Aaron, additional, Mosqueiro, Thiago, additional, Huerta, Ramon, additional, Rodriguez, Francisco B., additional, Changoluisa, Vinicio, additional, Cordeiro, Vinícius L., additional, Ceballos, César C., additional, Kamiji, Nilton L., additional, Roque, Antonio C., additional, Lytton, William W., additional, Knox, Andrew, additional, Rosenthal, Joshua J. C., additional, Popovych, Svitlana, additional, Liu, Liqing, additional, Wang, Bin A., additional, Tóth, Tibor I., additional, Grefkes, Christian, additional, Fink, Gereon R., additional, Rosjat, Nils, additional, Perez-Trujillo, Abraham, additional, Espinal, Andres, additional, Sotelo-Figueroa, Marco A., additional, Cruz-Aceves, Ivan, additional, Rostro-Gonzalez, Horacio, additional, Zapotocky, Martin, additional, Hoskovcová, Martina, additional, Kopecká, Jana, additional, Ulmanová, Olga, additional, Růžička, Evžen, additional, Gärtner, Matthias, additional, Duvarci, Sevil, additional, Roeper, Jochen, additional, Schneider, Gaby, additional, Albert, Stefan, additional, Schmack, Katharina, additional, Remme, Michiel, additional, Schreiber, Susanne, additional, Migliore, Michele, additional, Lupascu, Carmen A., additional, Bologna, Luca L., additional, Antonel, Stefano M., additional, Courcol, Jean-Denis, additional, Çelikok, Sami Utku, additional, Navarro-López, Eva M., additional, Şengör, Neslihan Serap, additional, Elibol, Rahmi, additional, Sengor, Neslihan Serap, additional, Özdemir, Mustafa Yasir, additional, Li, Tianyi, additional, Arleo, Angelo, additional, Sheynikhovich, Denis, additional, Nakamura, Akihiro, additional, Shimono, Masanori, additional, Song, Youngjo, additional, Park, Sol, additional, Choi, Ilhwan, additional, Jeong, Jaeseung, additional, Shin, Hee-sup, additional, Sadeh, Sadra, additional, Gleeson, Padraig, additional, Angus Silver, R., additional, Chatzikalymniou, Alexandra Pierri, additional, Skinner, Frances K., additional, Sanchez-Rodriguez, Lazaro M., additional, Sotero, Roberto C., additional, Hertäg, Loreen, additional, Mackwood, Owen, additional, Sprekeler, Henning, additional, Puhlmann, Steffen, additional, Weber, Simon N., additional, Higgins, David, additional, Naumann, Laura B., additional, Iyer, Ramakrisnan, additional, Mihalas, Stefan, additional, Ticcinelli, Valentina, additional, Stankovski, Tomislav, additional, McClintock, Peter V. E., additional, Stefanovska, Aneta, additional, Janjić, Predrag, additional, Solev, Dimitar, additional, Seifert, Gerald, additional, Kocarev, Ljupčo, additional, Steinhäuser, Christian, additional, Salmasi, Mehrdad, additional, Glasauer, Stefan, additional, Stemmler, Martin, additional, Zhang, Danke, additional, Zhang, Chi, additional, Stepanyants, Armen, additional, Goncharenko, Julia, additional, Kros, Lieke, additional, Davey, Neil, additional, de Zeeuw, Chris, additional, Hoebeek, Freek, additional, Sinha, Ankur, additional, Adams, Roderick, additional, Schmuker, Michael, additional, Psarrou, Maria, additional, Schilstra, Maria, additional, Torben-Nielsen, Benjamin, additional, Metzner, Christoph, additional, Schweikard, Achim, additional, Mäki-Marttunen, Tuomo, additional, Zurowski, Bartosz, additional, Marinazzo, Daniele, additional, Faes, Luca, additional, Stramaglia, Sebastiano, additional, Jordan, Henry O. 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G., additional, Felton, Melvin A., additional, Yu, Alfred B., additional, Boothe, David L., additional, Oie, Kelvin S., additional, Franaszczuk, Piotr J., additional, Shuvaev, Sergey A., additional, Başerdem, Batuhan, additional, Zador, Anthony, additional, Koulakov, Alexei A., additional, López-Madrona, Víctor J., additional, Pereda, Ernesto, additional, Mirasso, Claudio R., additional, Canals, Santiago, additional, Masoli, Stefano, additional, Rongala, Udaya B., additional, Spanne, Anton, additional, Jorntell, Henrik, additional, Oddo, Calogero M., additional, Vartanov, Alexander V., additional, Neklyudova, Anastasia K., additional, Kozlovskiy, Stanislav A., additional, Kiselnikov, Andrey A., additional, Marakshina, Julia A., additional, Teleńczuk, Maria, additional, Teleńczuk, Bartosz, additional, Destexhe, Alain, additional, Kuokkanen, Paula T., additional, Kraemer, Anna, additional, McColgan, Thomas, additional, Carr, Catherine E., additional, and Kempter, Richard, additional

Published
2017
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14. Modelling impairment of evoked gamma range oscillations in schizophrenia

Author

Achim Schweikard, Christoph Metzner, and Bartosz Zurowski

Subjects
Cellular and Molecular Neuroscience, General Neuroscience, Schizophrenia (object-oriented programming), Poster Presentation, Creative commons, Public domain, Psychology, Waiver, License, Mathematical economics, Developmental psychology, Zero (linguistics), Range (computer programming)
Abstract

© 2015 Metzner et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Published
2015
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15. Fluoroskopiebasierte 3D-Navigation komplexer Korrekturosteotomien des proximalen Femurs

Author

Rainer Burgkart, Michael Roth, H. Gottschling, Achim Schweikard, and R. Gradinger

Subjects
medicine.medical_specialty, medicine.diagnostic_test, Proximal femur, business.industry, medicine, Fluoroscopy, Orthopedics and Sports Medicine, Femur, Radiology, Nuclear medicine, business
Abstract

Hintergrund Trotz der heutigen Fortschritte bei der endoprothetischen Versorgung des Huftgelenks bestehen weiterhin zahlreiche Indikationen fur gelenkerhaltende operative Verfahren wie beispielsweise Korrekturosteotomien. Oft handelt es sich dabei um komplexe dreidimensionale (3D-)Rekonstruktionen des proximalen Femurs, die fur den Operateur technisch erhebliche Herausforderungen darstellen. Das Ziel des Projekts war, ein prazises intraoperatives 3D-Planungssystem inklusive detaillierter biomechanischer Analysefunktionen zu entwickeln und dem Operateur die exakte Umsetzung dieses Plans zu ermoglichen.

Published
2005
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16. Roboterunterstützung in der Knieendoprothetik

Author

H. Götte, O. Rühmann, Michael Roth, C. Brack, F. Gossé, M. Vahldiek, and Achim Schweikard

Subjects
Gynecology, medicine.medical_specialty, business.industry, medicine, Orthopedics and Sports Medicine, business
Abstract

Mit der Entwicklung sehr leistungsfahiger Kleincomputer hat der Einzug von computerunterstutzten Systemen in vielen Bereichen der operativen Medizin begonnen. In der Orthopadie werden diese Systeme zur Unterstutzung bei komplexen Korrekturosteotomien, bei Pedikelbohrungen an der Wirbelsaule sowie bei der Implantation von Huftendoprothesenschaften eingesetzt. Es wird ein System zur computerunterstutzten Planung und intraoperativen Unterstutzung in der Knieendoprothetik vorgestellt.

Published
1997
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17. Assembly sequences for polyhedra

Author

Randall H. Wilson and Achim Schweikard

Subjects
Combinatorics, Set (abstract data type), Sequence, Polyhedron, General Computer Science, Simple (abstract algebra), Applied Mathematics, Theory of computation, Extension (predicate logic), Object (computer science), Translation (geometry), Computer Science Applications, Mathematics
Abstract

The problem of finding sequences of motions for the assembly of a given object consisting of polyhedral parts arises in assembly planning. We describe an algorithm to compute the set of all translations separating two polyhedra withn vertices inO(n4) steps and show that this is optimal. Given an assembly ofk polyhedra with a total ofn vertices, an extension of this algorithm identifies a valid translation and removable subassembly inO(k2n4) steps if one exists. Based on the second algorithm, a polynomial-time method for finding a complete assembly sequence consisting of single translations is derived. An implementation incorporates several changes to achieve better average-case performance; experimental results obtained for simple assemblies are described.

Published
1995
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18. Spike-timing dependent plasticity facilitates excitatory/inhibitory disbalances in early phases of tinnitus manifestation

Author

Bartosz Zurowski, Fabian Guth, Achim Schweikard, and Christoph Metzner

Subjects
Cellular and Molecular Neuroscience, Licensee, Spike-timing-dependent plasticity, Computer science, General Neuroscience, Poster Presentation, medicine, Excitatory postsynaptic potential, Creative commons, medicine.symptom, Inhibitory postsynaptic potential, Neuroscience, Tinnitus
Abstract

© 2012 Metzner et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Published
2012
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30. Robot-assisted image-guided transcranial magnetic stimulation for somatotopic mapping of the motor cortex: a clinical pilot study

Author

Kantelhardt, Sven Rainer, primary, Fadini, Tommaso, additional, Finke, Markus, additional, Kallenberg, Kai, additional, Siemerkus, Jakob, additional, Bockermann, Volker, additional, Matthaeus, Lars, additional, Paulus, Walter, additional, Schweikard, Achim, additional, Rohde, Veit, additional, and Giese, Alf, additional

Published
2009
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40. Robotic-assisted total knee replacement

Author

Michael Roth, H. Götte, Achim Schweikard, F. Gossé, C. Brack, O. Rühmann, and M. Vahldiek

Subjects
Orthodontics, Medullary cavity, business.industry, medicine.medical_treatment, Total knee replacement, technology, industry, and agriculture, Total hip replacement, Arthroplasty, Medicine, Robot, Orthopedics and Sports Medicine, Medical diagnosis, business, Pedicle screw
Abstract

With the development of powerful computer systems, computer-assisted medical diagnosis and therapy have become common over the last 10 years. Even in the surgical field, computer- and robotic-assisted techniques are becoming practical but are not yet used on a daily basis. In the orthopaedic field, computer and robotic assistance is used in planning and performing demanding three-dimensional osteotomies, setting pedicle screws in the spine and milling the femoral medullary canal in total hip replacement. This article introduces a computer- and robotic-assisted system for performing arthroplasty in total knee replacement procedures.

Published
1997
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