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6. Coronary artery segmentation and motion modelling

Author

Zhang, Dong Ping, Rueckert, Daniel, and Edwards, David

Subjects
617
Abstract

Conventional coronary artery bypass surgery requires invasive sternotomy and the use of a cardiopulmonary bypass, which leads to long recovery period and has high infectious potential. Totally endoscopic coronary artery bypass (TECAB) surgery based on image guided robotic surgical approaches have been developed to allow the clinicians to conduct the bypass surgery off-pump with only three pin holes incisions in the chest cavity, through which two robotic arms and one stereo endoscopic camera are inserted. However, the restricted field of view of the stereo endoscopic images leads to possible vessel misidentification and coronary artery mis-localization. This results in 20-30% conversion rates from TECAB surgery to the conventional approach. We have constructed patient-specific 3D + time coronary artery and left ventricle motion models from preoperative 4D Computed Tomography Angiography (CTA) scans. Through temporally and spatially aligning this model with the intraoperative endoscopic views of the patient's beating heart, this work assists the surgeon to identify and locate the correct coronaries during the TECAB precedures. Thus this work has the prospect of reducing the conversion rate from TECAB to conventional coronary bypass procedures. This thesis mainly focus on designing segmentation and motion tracking methods of the coronary arteries in order to build pre-operative patient-specific motion models. Various vessel centreline extraction and lumen segmentation algorithms are presented, including intensity based approaches, geometric model matching method and morphology-based method. A probabilistic atlas of the coronary arteries is formed from a group of subjects to facilitate the vascular segmentation and registration procedures. Non-rigid registration framework based on a free-form deformation model and multi-level multi-channel large deformation diffeomorphic metric mapping are proposed to track the coronary motion. The methods are applied to 4D CTA images acquired from various groups of patients and quantitatively evaluated.

Published
2011
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9. Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease

Author

Wolz, Robin, Julkunen, Valtteri, Koikkalainen, Juha, Niskanen, Eini, Zhang, Dong Ping, Rueckert, Daniel, Soininen, Hilkka, Lötjönen, Jyrki, and Initiative, the Alzheimer's Disease Neuroimaging

Subjects
Information and Computing Sciences, Biochemistry and Cell Biology, Biological Sciences, Acquired Cognitive Impairment, Alzheimer's Disease, Dementia, Brain Disorders, Neurosciences, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Biomedical Imaging, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, Neurological, Aged, Alzheimer Disease, Case-Control Studies, Cerebral Cortex, Cognitive Dysfunction, Female, Humans, Magnetic Resonance Imaging, Male, Alzheimer's Disease Neuroimaging Initiative, General Science & Technology
Abstract

The role of structural brain magnetic resonance imaging (MRI) is becoming more and more emphasized in the early diagnostics of Alzheimer's disease (AD). This study aimed to assess the improvement in classification accuracy that can be achieved by combining features from different structural MRI analysis techniques. Automatically estimated MR features used are hippocampal volume, tensor-based morphometry, cortical thickness and a novel technique based on manifold learning. Baseline MRIs acquired from all 834 subjects (231 healthy controls (HC), 238 stable mild cognitive impairment (S-MCI), 167 MCI to AD progressors (P-MCI), 198 AD) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were used for evaluation. We compared the classification accuracy achieved with linear discriminant analysis (LDA) and support vector machines (SVM). The best results achieved with individual features are 90% sensitivity and 84% specificity (HC/AD classification), 64%/66% (S-MCI/P-MCI) and 82%/76% (HC/P-MCI) with the LDA classifier. The combination of all features improved these results to 93% sensitivity and 85% specificity (HC/AD), 67%/69% (S-MCI/P-MCI) and 86%/82% (HC/P-MCI). Compared with previously published results in the ADNI database using individual MR-based features, the presented results show that a comprehensive analysis of MRI images combining multiple features improves classification accuracy and predictive power in detecting early AD. The most stable and reliable classification was achieved when combining all available features.

Published
2011

22. Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration

Author

Zhang, Dong Ping, Risser, Laurent, Vialard, François-Xavier, Edwards, Philip, Metz, Coert, Neefjes, Lisan, Mollet, Nico, Niessen, Wiro, Rueckert, Daniel, Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Liao, Hongen, editor, Edwards, P. J. 'Eddie", editor, Pan, Xiaochuan, editor, Fan, Yong, editor, and Yang, Guang-Zhong, editor

Published
2010
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23. Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA

Author

Zhang, Dong Ping, Risser, Laurent, Friman, Ola, Metz, Coert, Neefjes, Lisan, Mollet, Nico, Niessen, Wiro, Rueckert, Daniel, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Fischer, Bernd, editor, Dawant, Benoît M., editor, and Lorenz, Cristian, editor

Published
2010
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27. Coronary Motion Modelling for Augmented Reality Guidance of Endoscopic Coronary Artery Bypass

Author

Figl, Michael, Rueckert, Daniel, Hawkes, David, Casula, Roberto, Hu, Mingxing, Pedro, Ose, Zhang, Dong Ping, Penney, Graeme, Bello, Fernando, Edwards, Philip, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bello, Fernando, editor, and Edwards, P. J. Eddie, editor

Published
2008
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28. Image Guidance for Robotic Minimally Invasive Coronary Artery Bypass

Author

Figl, Michael, Rueckert, Daniel, Hawkes, David, Casula, Roberto, Hu, Mingxing, Pedro, Ose, Zhang, Dong Ping, Penney, Graeme, Bello, Fernando, Edwards, Philip, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Dohi, Takeyoshi, editor, Sakuma, Ichiro, editor, and Liao, Hongen, editor

Published
2008
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31. Nanocrystalline ZnSnN 2 Prepared by Reactive Sputtering, Its Schottky Diodes and Heterojunction Solar Cells.

Author

Ye, Fan, Hong, Rui-Tuo, Qiu, Yi-Bin, Xie, Yi-Zhu, Zhang, Dong-Ping, Fan, Ping, and Cai, Xing-Min

Subjects
SOLAR cells, REACTIVE sputtering, SCHOTTKY barrier diodes, SEMICONDUCTORS, HETEROJUNCTIONS, ELECTRON density, PHOTOVOLTAIC power systems
Abstract

ZnSnN2 has potential applications in photocatalysis and photovoltaics. However, the difficulty in preparing nondegenerate ZnSnN2 hinders its device application. Here, the preparation of low-electron-density nanocrystalline ZnSnN2 and its device application are demonstrated. Nanocrystalline ZnSnN2 was prepared with reactive sputtering. Nanocrystalline ZnSnN2 with an electron density of approximately 1017 cm−3 can be obtained after annealing at 300 °C. Nanocrystalline ZnSnN2 is found to form Schottky contact with Ag. Both the current I vs. voltage V curves and the capacitance C vs. voltage V curves of these samples follow the related theories of crystalline semiconductors due to the limited long-range order provided by the crystallites with sizes of 2–10 nm. The I−V curves together with the nonlinear C−2−V curves imply that there are interface states at the Ag-nanocrystalline ZnSnN2 interface. The application of nanocrystalline ZnSnN2 to heterojunction solar cells is also demonstrated. [ABSTRACT FROM AUTHOR]

Published
2023
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39. Examples

Author

Kaeli, David, primary, Mistry, Perhaad, additional, Schaa, Dana, additional, and Zhang, Dong Ping, additional

Published
2015
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41. Device architectures

Author

Kaeli, David, primary, Mistry, Perhaad, additional, Schaa, Dana, additional, and Zhang, Dong Ping, additional

Published
2015
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43. Foreign lands

Author

Kaeli, David, primary, Mistry, Perhaad, additional, Schaa, Dana, additional, and Zhang, Dong Ping, additional

Published
2015
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44. Case study

Author

Kaeli, David, primary, Mistry, Perhaad, additional, Schaa, Dana, additional, and Zhang, Dong Ping, additional

Published
2015
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46. Introduction

Author

Kaeli, David, primary, Mistry, Perhaad, additional, Schaa, Dana, additional, and Zhang, Dong Ping, additional

Published
2015
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