Automatic three-dimensional segmentation of MR images applied to the rat uterus

Ayelet Akselrod-Ballin; Erez Eyal; Meirav Galun; Edna Furman-Haran; John Moshe Gomori; Ronen Basri; Hadassa Degani; Achi Brandt

doi:10.1117/12.653371

13 March 2006 Automatic three-dimensional segmentation of MR images applied to the rat uterus

Ayelet Akselrod-Ballin, Erez Eyal, Meirav Galun, Edna Furman-Haran, John Moshe Gomori, Ronen Basri, Hadassa Degani, Achi Brandt

Author Affiliations +

Proceedings Volume 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images; 61430R (2006) https://doi.org/10.1117/12.653371
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

We introduce an automatic 3D multiscale automatic segmentation algorithm for delineating specific organs in Magnetic Resonance images (MRI). The algorithm can process several modalities simultaneously, and handle both isotropic and anisotropic data in only linear time complexity. It produces a hierarchical decomposition of MRI scans. During this segmentation process a rich set of features describing the segments in terms of intensity, shape and location are calculated, reflecting the formation of the hierarchical decomposition. We show that this method can delineate the entire uterus of the rat abdomen in 3D MR images utilizing a combination of scanning protocols that jointly achieve high contrast between the uterus and other abdominal organs and between inner structures of the rat uterus. Both single and multi-channel automatic segmentation demonstrate high correlation to a manual segmentation. While the focus here is on the rat uterus, the general approach can be applied to recognition in 2D, 3D and multi-channel medical images.

Citation Download Citation

Ayelet Akselrod-Ballin, Erez Eyal, Meirav Galun, Edna Furman-Haran, John Moshe Gomori, Ronen Basri, Hadassa Degani, and Achi Brandt "Automatic three-dimensional segmentation of MR images applied to the rat uterus", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61430R (13 March 2006); https://doi.org/10.1117/12.653371

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