Method and system for segmentation of brain structures in 3D magnetic resonance images
AssigneeSiemens Healthcare GmbH
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.
Claims24
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, wherein said step of detecting a meta-structure comprises:
- detecting the meta-structure using MSL to sequentially detect position, position-orientation, and a full similarity transformation of the meta-structure in the 3D MR image using a set of trained discriminative classifiers.
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, wherein said means for detecting a meta-structure comprises:
- means for detecting the meta-structure using MSL to sequentially detect position, position-orientation, and a full similarity transformation of the meta-structure in the 3D MR image using a set of trained discriminative classifiers.
A non-transitory 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, wherein the computer executable instructions defining the step of detecting a meta-structure comprise computer executable instructions defining the step of:
- detecting the meta-structure using MSL to sequentially detect position, position-orientation, and a full similarity transformation of the meta-structure in the 3D MR image using a set of trained discriminative classifiers.
Dependencies are inferred from the claim text.