A spatiotemporal-based scheme for efficient registration-based segmentation of thoracic 4-D MRI

IEEE Journal of Biomedical and Health Informatics

Volumn 18, Issue 3, 2014, Pages 969-977

  Yang, Y ^a   Van Reeth, E ^a   Poh, C L ^a   Tan, C H ^b   Tham, I W K ^c  

^a Nanyang Technological University   (Singapore)

^b TAN TOCK SENG HOSPITAL   (Singapore)

^c National University Cancer Institute   (Singapore)

Author keywords

Cancer; four dimensional (4 D); image registration; image segmentation; magnetic resonance imaging (MRI)

Indexed keywords

BIOLOGICAL ORGANS; IMAGE REGISTRATION; MAGNETIC RESONANCE IMAGING; MOTION TRACKING; RADIOTHERAPY; TUMORS;

ANATOMICAL STRUCTURES; AUTOMATED SEGMENTATION; AUTOMATIC REGISTRATION; CANCER; FOUR-DIMENSIONAL (4-D); SEGMENTATION TECHNIQUES; SPATIOTEMPORAL INFORMATION; THREEDIMENSIONAL (3-D);

IMAGE SEGMENTATION;

CASE CONTROL STUDY; HUMAN; LUNG TUMOR; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES; THORAX; THREE DIMENSIONAL IMAGING;

CASE-CONTROL STUDIES; HUMANS; IMAGING, THREE-DIMENSIONAL; LUNG NEOPLASMS; MAGNETIC RESONANCE IMAGING; THORAX;

EID: 84900856484     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2282183     Document Type: Article

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