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» 3D Visualization and Segmentation of Brain MRI Data
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ISBI
2006
IEEE
15 years 10 months ago
Shape vs. volume: invariant shape descriptors for 3D region of interest characterization in MRI
We propose a new approach for quantifying regions of interest (ROIs) in medical image data. Rotationally invariant shape descriptors (ISDs) were applied to 3D brain regions extrac...
Sina Tootoonian, Rafeef Abugharbieh, Xuemei Huan H...
TIP
2002
114views more  TIP 2002»
14 years 9 months ago
Lossy to lossless object-based coding of 3-D MRI data
Abstract--We propose a fully three-dimensional (3-D) object-based coding system exploiting the diagnostic relevance of the different regions of the volumetric data for rate allocat...
Gloria Menegaz, Jean-Philippe Thiran
MICCAI
2005
Springer
15 years 10 months ago
Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentation
Validation and method of comparison for segmentation of magnetic resonance images (MRI) presenting pathology is a challenging task due to the lack of reliable ground truth. We prop...
Marcel Prastawa, Elizabeth Bullitt, Guido Gerig
SCALESPACE
2007
Springer
15 years 3 months ago
Piecewise Constant Level Set Method for 3D Image Segmentation
Level set methods have been proven to be efficient tools for tracing interface problems. Recently, some variants of the Osher- Sethian level set methods, which are called the Piece...
Are Losnegård, Oddvar Christiansen, Xue-Chen...
ISBI
2008
IEEE
15 years 10 months ago
Quantitative genetic modeling of lateral ventricular shape and volume using multi-atlas fluid image alignment in twins
Despite substantial progress in measuring the 3D profile of anatomical variations in the human brain, their genetic and environmental causes remain enigmatic. We developed an auto...
Yi-Yu Chou, Natasha Lepore, Marina Barysheva, Ming...