Automatic 4D (3D+time) Segmentation of Cardiac MRI

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Automatic 4D (3D+time) Segmentation of Cardiac MRI CPCC & KLAB UC Irvine August 2014

Transcript of Automatic 4D (3D+time) Segmentation of Cardiac MRI

Page 1: Automatic 4D (3D+time) Segmentation of Cardiac MRI

Automatic 4D (3D+time) Segmentation of Cardiac MRI

CPCC & KLABUC IrvineAugust 2014

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Agenda

● Introduction● Current Work● Future work

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Introduction● LV and Myocardium

Segmentation

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Challenges in CMR Segmentation● Poor contrast between myocardium and surrounding● Diverse brightness in the LV cavity due to blood flow● Presence of papillary muscles ● Segmentation complexity of apical

and basal slice images ● Inherent noise caused by motion

artifacts, heart dynamics● Shape and intensity variability of the LV

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3D Automatic Segmentation

● Developed Algorithm

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Phase 0: Automatic Localization● Input: Raw Image Output: Chamber Location

Automatic Chamber Detection

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Phase I: 3D Segmentation of LV

3D Segmentation

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Phase II: Intra-Chamber Inclusion

Intra-Chamber Inclusion

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Phase III: Myocardial Segmentation

3D Segmentation

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Future Work: 4D (3D+time) Segmentation

Moving Heart