Segmentation of 4D cardiac computer tomography images using active shape models

Barba-J, Leiner; Olveres, Jimena; Escalante-Ramı́rez, Boris; Arámbula, Fernando; Vallejo, Enrique

doi:10.1117/12.922856

Cited by 8 publications

(2 citation statements)

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“…The statistical shape model method [101,102] constructs the prior segmented 3D target structures as well as the motion information between them into a statistical model. This model is then used to segment structures that have the "typical" shape and moving pattern of new datasets.…”

Section: D Segmentationmentioning

confidence: 99%

“…This model is then used to segment structures that have the "typical" shape and moving pattern of new datasets. O'Brien et al [101] and Leiner et al [102] used this technique to segment the left ventricle. A limitation of this method is that additional time and interactions are needed to accumulate enough segmented target structures and motion information for training.…”

Section: D Segmentationmentioning

confidence: 99%

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Four-dimensional magnetic resonance imaging-based system for radiotherapy of lung cancer

Yang¹

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This thesis would not have been possible without the support from many sides. First and foremost, I would like to express my sincerest gratitude to my supervisor, Assistant Professor Poh Chueh Loo, for his patience, enthusiasm, motivation, and enormous knowledge in this area. His continuous support helped me greatly in all the time of my Ph.D. study and research, and writing this thesis. His guidance has not only given me the knowledge in scientific area but also made me a better researcher and person, with patience, confidence, and responsibilities. I could not have imagined having a better supervisor and mentor for my Ph.D. study.

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Section: D Segmentationmentioning

confidence: 99%

Section: D Segmentationmentioning

confidence: 99%