Method and System for Segmentation of Brain Structures in 3D Magnetic Resonance Images
AssigneesSiemens Corporate Research, Inc., Siemens Aktiengesellschaft
InventorsMichael Wels, Gustavo Henrique Monteiro de Barros Carneiro, Martin Huber, Dorin Comaniciu, Yefeng Zheng
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Abstract
A method and system for segmenting multiple brain structures in 3D magnetic resonance (MR) images is disclosed. After intensity standardization of a 3D MR image, a meta-structure including center positions of multiple brain structures is detected in the 3D MR image. The brain structures are then individually segmented using marginal space learning (MSL) constrained by the detected meta-structure.
Claims27
A method for segmenting a plurality of brain structures in a 3D magnetic resonance (MR) image, comprising:
- detecting a meta-structure including center positions of each of said plurality of brain structures in the 3D MR image;
- and
- individually segmenting at least one of the plurality of brain structures using marginal space learning (MSL) constrained by the detected meta-structure.
An apparatus for segmenting a plurality of brain structures in a 3D magnetic resonance (MR) image, comprising:
- means for detecting a meta-structure including center positions of each of said plurality of brain structures in the 3D MR image;
- and
- means for individually segmenting at least one of the plurality of brain structures using marginal space learning (MSL) constrained by the detected meta-structure.
A computer readable medium encoded with computer executable instructions for segmenting a plurality of brain structures in a 3D magnetic resonance (MR) image, the computer executable instructions defining steps comprising:
- detecting a meta-structure including center positions of each of said plurality of brain structures in the 3D MR image;
- and
- individually segmenting at least one of the plurality of brain structures using marginal space learning (MSL) constrained by the detected meta-structure.
Dependencies are inferred from the claim text.