Titlebook: Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions; International Worksh Hongen Liao,Cristian A. Linte,

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FLAGR

Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixndividual cavities was used to segment the entire heart. We successfully validated our segmentation scheme with manually outlined contours and with CTA segmentations for three patients. The segmentations of the three patients had an average distance of 2.3, 4.9, and 2.1 mm to the manual outlines.

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collagen

Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain,nd neural connectivity information and helps quantify white matter fiber tract differences between normal and disease. Traditional DTI registration methods use either tensor information or orientation invariant features extracted from the tensors. Because tensors need to be re-oriented after warping

吃掉

Discrete

Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixchallenging image processing task due to complex local anatomy, limited field of view and typical ultrasound artifacts. We propose to use a multi-cavity active shape model (ASM) derived from Computed Tomography Angiography (CTA) segmentations in conjunction with a blood/tissue classification by Gamm

GRACE

ADJ

Simultaneous Tracking, 3D Reconstruction and Deforming Point Detection for Stereoscope Guided Surgethe potential to simultaneously track the endoscope and recover a sparse 3D structure of the tissue. However, most of such methods either assume a static environment or require the tissue organ to have a periodic motion such as respiration. To deal with the general tissue deformation, a new framewor

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