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24 results on '"Tijssen, Rob H.N."'

3. Patterns of Care, Tolerability, and Safety of the First Cohort of Patients Treated on a Novel High-Field MR-Linac Within the MOMENTUM Study: Initial Results From a Prospective Multi-Institutional Registry

Author

de Mol van Otterloo, Sophie R., Christodouleas, John P., Blezer, Erwin L.A., Akhiat, Hafid, Brown, Kevin, Choudhury, Ananya, Eggert, Dave, Erickson, Beth A., Daamen, Lois A., Faivre-Finn, Corinne, Fuller, Clifton D., Goldwein, Joel, Hafeez, Shaista, Hall, Emma, Harrington, Kevin J., van der Heide, Uulke A., Huddart, Robert A., Intven, Martijn P.W., Kirby, Anna M., Lalondrelle, Susan, McCann, Claire, Minsky, Bruce D., Mook, Stella, Nowee, Marlies E., Oelfke, Uwe, Orrling, Kristina, Philippens, Marielle E.P., Sahgal, Arjun, Schultz, Christopher J., Tersteeg, Robbert J.H.A., Tijssen, Rob H.N., Tree, Alison C., van Triest, Baukelien, Tseng, Chia-Lin, Hall, William A., and Verkooijen, Helena M.

Published
2021
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4. Adaptive radiotherapy: The Elekta Unity MR-linac concept

Author

Winkel, Dennis, Bol, Gijsbert H., Kroon, Petra S., van Asselen, Bram, Hackett, Sara S., Werensteijn-Honingh, Anita M., Intven, Martijn P.W., Eppinga, Wietse S.C., Tijssen, Rob H.N., Kerkmeijer, Linda G.W., de Boer, Hans C.J., Mook, Stella, Meijer, Gert J., Hes, Jochem, Willemsen-Bosman, Mirjam, de Groot-van Breugel, Eline N., Jürgenliemk-Schulz, Ina M., and Raaymakers, Bas W.

Published
2019
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18. Feasibility of stereotactic radiotherapy using a 1.5 T MR-linac: Multi-fraction treatment of pelvic lymph node oligometastases

Author

Werensteijn-Honingh, Anita M., Kroon, Petra S., Winkel, Dennis, Aalbers, Ellart M., van Asselen, Bram, Bol, Gijsbert H., Brown, Kevin J., Eppinga, Wietse S.C., van Es, Corine A., Glitzner, Markus, de Groot-van Breugel, Eline N., Hackett, Sara L., Intven, Martijn, Kok, Jan G.M., Kontaxis, Charis, Kotte, Alexis N., Lagendijk, Jan J.W., Philippens, Mariëlle E.P., Tijssen, Rob H.N., Wolthaus, Jochem W.H., Woodings, Simon J., Raaymakers, Bas W., and Jürgenliemk-Schulz, Ina M.

Published
2019
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20. Respiratory motion model based on the noise covariance matrix of a receive array

Author

ANDREYCHENKO, Anna, DENIS DE SENNEVILLE, Baudouin, NAVEST, Robin, TIJSSEN, Rob H.N., LAGENDIJK, Jan J.W., VAN DEN BERG, Cornelis, University Medical Center [Utrecht], Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie, Université Bordeaux Segalen - Bordeaux 2-IFR8-Centre National de la Recherche Scientifique (CNRS), Modélisation Mathématique pour l'Oncologie (MONC), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Institut Bergonié [Bordeaux], UNICANCER-UNICANCER-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Institut Bergonié [Bordeaux]

Subjects
Noise sensor, Tracking, Noise covariance matrix, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Respiratory motion model
Abstract

International audience; PURPOSE:Tracking of the internal anatomy by means of a motion model that uses the MR-derived motion fields and noise covariance matrix (NCM) dynamic as a surrogate signal.METHODS:A 2D respiratory motion model was developed based on the MR-derived motion fields and the NCM of a receive array used in MRI. Temporal dynamics of the NCM were used as a motion surrogate for a linear correspondence motion model. The model performance was tested on five healthy volunteers with a liver as the target. The motion fields were calculated from the cineMR frames with an optical flow registration tool.RESULTS:The model estimated the liver motion with an average residual error of 2.3 mm (13% of the motion amplitude). The model formation takes 3 min and the model latency was 0.5 s in the current implementation. The limiting factor for the latency is the current update time of the NCM (0.48 s), which in principle can be reduced to 0.004 s with an alternative way to determine the NCM.CONCLUSIONS:The 2D respiratory motion of the liver can be effectively estimated with the linear motion model that uses the temporal behavior of the NCM as motion surrogate. Magn Reson Med 79:1730-1735, 2018. © 2017 International Society for Magnetic Resonance in Medicine

Published
2018

21. Magnetic resonance imaging in precision radiation therapy for lung cancer

Author

Bainbridge, Hannah, Salem, Ahmed, Tijssen, Rob H.N., Dubec, Michael, Wetscherek, Andreas, van Es, Corinne, Belderbos, Jose, Faivre-Finn, Corinne, McDonald, Fiona, and on behalf of the lung tumour site group of the international Atlantic MR-Linac Consortium

Subjects
MR-Linac, Radiotherapy, Oncology, Magnetic resonance imaging (MRI), Lung cancer
Abstract

Radiotherapy remains the cornerstone of curative treatment for inoperable locally advanced lung cancer, given concomitantly with platinum-based chemotherapy. With poor overall survival, research efforts continue to explore whether integration of advanced radiation techniques will assist safe treatment intensification with the potential for improving outcomes. One advance is the integration of magnetic resonance imaging (MRI) in the treatment pathway, providing anatomical and functional information with excellent soft tissue contrast without exposure of the patient to radiation. MRI may complement or improve the diagnostic staging accuracy of F-18 fluorodeoxyglucose position emission tomography and computerized tomography imaging, particularly in assessing local tumour invasion and is also effective for identification of nodal and distant metastatic disease. Incorporating anatomical MRI sequences into lung radiotherapy treatment planning is a novel application and may improve target volume and organs at risk delineation reproducibility. Furthermore, functional MRI may facilitate dose painting for heterogeneous target volumes and prediction of normal tissue toxicity to guide adaptive strategies. MRI sequences are rapidly developing and although the issue of intra-thoracic motion has historically hindered the quality of MRI due to the effect of motion, progress is being made in this field. Four-dimensional MRI has the potential to complement or supersede 4D CT and 4D F-18-FDG PET, by providing superior spatial resolution. A number of MR-guided radiotherapy delivery units are now available, combining a radiotherapy delivery machine (linear accelerator or cobalt-60 unit) with MRI at varying magnetic field strengths. This novel hybrid technology is evolving with many technical challenges to overcome. It is anticipated that the clinical benefits of MR-guided radiotherapy will be derived from the ability to adapt treatment on the fly for each fraction and in real-time, using 'beam-on' imaging. The lung tumour site group of the Atlantic MR-Linac consortium is working to generate a challenging MR-guided adaptive workflow for multi-institution treatment intensification trials in this patient group.

Published
2017

22. Adaptive bulk motion exclusion for improved robustness of abdominal magnetic resonance imaging.

Author

Stemkens, Bjorn, Benkert, Thomas, Chandarana, Hersh, Bittman, Mark E., Van den Berg, Cornelis A.T., Lagendijk, Jan J.W., Sodickson, Daniel K., Tijssen, Rob H.N., and Block, Kai Tobias

Abstract

Non-Cartesian magnetic resonance imaging (MRI) sequences have shown great promise for abdominal examination during free breathing, but break down in the presence of bulk patient motion (i.e. voluntary or involuntary patient movement resulting in translation, rotation or elastic deformations of the body). This work describes a data-consistency-driven image stabilization technique that detects and excludes bulk movements during data acquisition. Bulk motion is identified from changes in the signal intensity distribution across different elements of a multi-channel receive coil array. A short free induction decay signal is acquired after excitation and used as a measure to determine alterations in the load distribution. The technique has been implemented on a clinical MR scanner and evaluated in the abdomen. Six volunteers were scanned and two radiologists scored the reconstructions. To show the applicability to other body areas, additional neck and knee images were acquired. Data corrupted by bulk motion were successfully detected and excluded from image reconstruction. An overall increase in image sharpness and reduction of streaking and shine-through artifacts were seen in the volunteer study, as well as in the neck and knee scans. The proposed technique enables automatic real-time detection and exclusion of bulk motion during MR examinations without user interaction. It may help to improve the reliability of pediatric MRI examinations without the use of sedation. [ABSTRACT FROM AUTHOR]

Published
2017
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24. ADC measurements on the Unity MR-linac – A recommendation on behalf of the Elekta Unity MR-linac consortium.

Author

Kooreman, Ernst S., van Houdt, Petra J., Keesman, Rick, Pos, Floris J., van Pelt, Vivian W.J., Nowee, Marlies E., Wetscherek, Andreas, Tijssen, Rob H.N., Philippens, Marielle E.P., Thorwarth, Daniela, Wang, Jihong, Shukla-Dave, Amita, Hall, William A., Paulson, Eric S., and van der Heide, Uulke A.

Subjects
*CYCLOTRONS, *DIFFUSION magnetic resonance imaging, *PROSTATE cancer patients, *SPATIAL variation
Abstract

• Machine characteristics must be considered when selecting b -values for measuring the ADC. • Spatial variation of the ADC requires positioning of a ROI near the iso-center. • The ADC can be measured on the Unity system during gantry rotation and irradiation. • Includes example acquisition parameters to facilitate multi-center research. Diffusion-weighted imaging (DWI) for treatment response monitoring is feasible on hybrid magnetic resonance linear accelerator (MR-linac) systems. The MRI scanner of the Elekta Unity system has an adjusted design compared to diagnostic scanners. We investigated its impact on measuring the DWI-derived apparent diffusion coefficient (ADC) regarding three aspects: the choice of b -values, the spatial variation of the ADC, and scanning during radiation treatment. The aim of this study is to give recommendations for accurate ADC measurements on Unity systems. Signal-to-noise ratio (SNR) measurements with increasing b -values were done to determine the highest bvalue that can be measured reliably. The spatial variation of the ADC was assessed on six Unity systems with a cylindrical phantom of 40 cm diameter. The influence of gantry rotation and irradiation was investigated by acquiring DWI images before and during treatment of 11 prostate cancer patients. On the Unity system, a maximum b -value of 500 s/mm2 should be used for ADC quantification, as a trade-off between SNR and diffusion weighting. Accurate ADC values were obtained within 7 cm from the iso-center, while outside this region ADC values deviated more than 5%. The ADC was not influenced by the rotating linac or irradiation during treatment. We provide Unity system specific recommendations for measuring the ADC. This will increase the consistency of ADC values acquired in different centers on the Unity system, enabling large cohort studies for biomarker discovery and treatment response monitoring. [ABSTRACT FROM AUTHOR]

Published
2020
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