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IPMI
1999
Springer
15 years 10 months ago
Co-dimension 2 Geodesic Active Contours for MRA Segmentation
Abstract. Automatic and semi-automatic magnetic resonance angiography (MRA) segmentation techniques can potentially save radiologists large amounts of time required for manual segm...
Liana M. Lorigo, Olivier D. Faugeras, W. Eric L. G...
WSCG
2004
143views more  WSCG 2004»
14 years 11 months ago
A Framework for Tubular Organs Segmentation
Tubular organs (blood vessels and bronchial tubes), because of their anti-compact nature, generally appear randomly cross-sectioned in CT slices. Because of this, it's diffic...
Gabriel de Dietrich, Achille J.-P. Braquelaire
TMI
2010
155views more  TMI 2010»
14 years 4 months ago
Tubular Surface Segmentation for Extracting Anatomical Structures From Medical Imagery
Abstract--This work provides a model for tubular structures, and devises an algorithm to automatically extract tubular anatomical structures from medical imagery. Our model fits ma...
Vandana Mohan, Ganesh Sundaramoorthi, Allen Tannen...
MICCAI
2005
Springer
15 years 10 months ago
MRA Image Segmentation with Capillary Active Contour
Abstract. Precise segmentation of three-dimensional (3D) magnetic resonance angiography (MRA) image can be a very useful computer aided diagnosis (CAD) tool in clinical routines. O...
Pingkun Yan, Ashraf A. Kassim
BILDMED
2008
123views Algorithms» more  BILDMED 2008»
14 years 11 months ago
Flow Quantification from 2D Phase Contrast MRI in Renal Arteries Using Clustering
Abstract. We present an approach based on clustering to segment renal arteries from 2D PC Cine MR images to measure blood velocity and flow. Such information are important in gradi...
Frank Zöllner, Jan Ankar Monnsen, Arvid Lunde...