Automated abdominal multi-organ segmentation with subject-specific atlas generation

Wolz R, Chu C, Misawa K, Fujiwara M, Mori K, Rueckert D (2013)

Publication Type: Journal article

Publication year: 2013

Journal

IEEE Transactions on Medical Imaging Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 32

Pages Range: 1723-1730

Article Number: 6522848

Journal Issue: 9

DOI: 10.1109/TMI.2013.2265805

Abstract

A robust automated segmentation of abdominal organs can be crucial for computer aided diagnosis and laparoscopic surgery assistance. Many existing methods are specialized to the segmentation of individual organs and struggle to deal with the variability of the shape and position of abdominal organs. We present a general, fully-automated method for multi-organ segmentation of abdominal computed tomography (CT) scans. The method is based on a hierarchical atlas registration and weighting scheme that generates target specific priors from an atlas database by combining aspects from multi-atlas registration and patch-based segmentation, two widely used methods in brain segmentation. The final segmentation is obtained by applying an automatically learned intensity model in a graph-cuts optimization step, incorporating high-level spatial knowledge. The proposed approach allows to deal with high inter-subject variation while being flexible enough to be applied to different organs. We have evaluated the segmentation on a database of 150 manually segmented CT images. The achieved results compare well to state-of-the-art methods, that are usually tailored to more specific questions, with Dice overlap values of 94%, 93%, 70%, and 92% for liver, kidneys, pancreas, and spleen, respectively. © 2012 IEEE.

Involved external institutions

Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB) Nagoya University / 名古屋大学 JP Japan (JP) Aichi Cancer Center Research Institute JP Japan (JP) Nagoya University Hospital / 名古屋大学医学部附属病院 JP Japan (JP)

How to cite

APA:

Wolz, R., Chu, C., Misawa, K., Fujiwara, M., Mori, K., & Rueckert, D. (2013). Automated abdominal multi-organ segmentation with subject-specific atlas generation. IEEE Transactions on Medical Imaging, 32(9), 1723-1730. https://doi.org/10.1109/TMI.2013.2265805

MLA:

Wolz, Robin, et al. "Automated abdominal multi-organ segmentation with subject-specific atlas generation." IEEE Transactions on Medical Imaging 32.9 (2013): 1723-1730.

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