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Docteur de l'université Automatic Segmentation and Shape Analysis ...

Docteur de l'université Automatic Segmentation and Shape Analysis ...

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Chapter 3<br />

Hippocampal segmentation using multiple<br />

atlases<br />

׃םוּקָתּ םיִצֲעוֹי בֹרְבוּ דוֹס ןיֵאְבּ תוֹבשֲׁחַמ רֵפָה<br />

Proverbs, 15:22.<br />

The segmentation of hippocampus poses a challenge to the accurate <strong>and</strong> precise<br />

assessment of hippocampal atrophy in AD. Multi-atlas based segmentation is one<br />

successful approach to the automatic segmentation of hippocampus in structural<br />

MR images. In this chapter, we first introduce the basic framework of multi-atlas<br />

segmentation approach. Then, we <strong>de</strong>velop a supervised method to construct a<br />

population specific atlas set for the atlas-based segmentation. The problem of atlas<br />

selection problem will also be discussed, to which we proposed two alternative atlas<br />

selection strategy in addition to the commonly used selection by image similarity<br />

ranking.<br />

The results of population specific atlas construction have been published in “Super-<br />

vised method to build an atlas database for multi-atlas segmentation-propagation,”<br />

in SPIE Medical Imaging 2010: Computer-Ai<strong>de</strong>d Diagnosis. The results of the<br />

alternative atlas selection strategies have been partially published in “Atlas selec-<br />

tion strategy in multi-atlas segmentation propagation with locally weighted voting<br />

using diversity-based MMR re-ranking,” in SPIE Medical Imaging 2011: Image<br />

43

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