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» Deformable Organisms for Automatic Medical Image Analysis
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MICCAI
2001
Springer
13 years 9 months ago
Deformable Organisms for Automatic Medical Image Analysis
We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous ag...
Ghassan Hamarneh, Tim McInerney, Demetri Terzopoul...
CVPR
2006
IEEE
14 years 6 months ago
Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis
We present a novel approach to the segmentation and analysis of vasculature from volumetric medical image data. Our method is an adoption and significant extension of deformable o...
Chris McIntosh, Ghassan Hamarneh
MICCAI
2006
Springer
14 years 5 months ago
Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis
Spinal cord analysis is an important problem relating to the study of various neurological diseases. We present a novel approach to spinal cord segmentation in magnetic resonance i...
Chris McIntosh, Ghassan Hamarneh
MICCAI
2008
Springer
14 years 5 months ago
Automatic Deformable Diffusion Tensor Registration for Fiber Population Analysis
In this work, we propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Images. Our registration method models the distances in between the tensors...
M. Okan Irfanoglu, Raghu Machiraju, Steffen Samm...
CIS
2004
Springer
13 years 10 months ago
Automatic Segmentation Technique Without User Modification for 3D Visualization in Medical Images
Abstract. It is necessary to analyze an image from CT or MR and then to segment an image of a certain organ from that of other tissues for 3D (ThreeDimensional) visualization. Ther...
Won Seong, Eui-Jeong Kim, Jong-Won Park