Regression forest-based atlas localization and direction specific atlas generation for pancreas segmentation
Oda M, Shimizu N, Karasawa K, Nimura Y, Kitasaka T, Misawa K, Fujiwara M, Rueckert D, Mori K (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: Springer Verlag
Book Volume: 9901 LNCS
Pages Range: 556-563
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN: 9783319467221
DOI: 10.1007/978-3-319-46723-8_64
Abstract
This paper proposes a fully automated atlas-based pancreas segmentation method from CT volumes utilizing atlas localization by regression forest and atlas generation using blood vessel information. Previous probabilistic atlas-based pancreas segmentation methods cannot deal with spatial variations that are commonly found in the pancreas well. Also,shape variations are not represented by an averaged atlas. We propose a fully automated pancreas segmentation method that deals with two types of variations mentioned above. The position and size of the pancreas is estimated using a regression forest technique. After localization,a patient-specific probabilistic atlas is generated based on a new image similarity that reflects the blood vessel position and direction information around the pancreas. We segment it using the EM algorithm with the atlas as prior followed by the graph-cut. In evaluation results using 147 CT volumes,the Jaccard index and the Dice overlap of the proposed method were 62.1% and 75.1%,respectively. Although we automated all of the segmentation processes,segmentation results were superior to the other state-of-the-art methods in the Dice overlap.
Involved external institutions
Nagoya University / 名古屋大学
Japan (JP)
Aichi Institute of Technology (AIT) / 愛知工業大学
Japan (JP)
Aichi Cancer Center Research Institute
Japan (JP)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Japan (JP)
Aichi Institute of Technology (AIT) / 愛知工業大学
Japan (JP)
Aichi Cancer Center Research Institute
Japan (JP)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
How to cite
APA:
Oda, M., Shimizu, N., Karasawa, K., Nimura, Y., Kitasaka, T., Misawa, K.,... Mori, K. (2016). Regression forest-based atlas localization and direction specific atlas generation for pancreas segmentation. In Gozde Unal, Sebastian Ourselin, Leo Joskowicz, Mert R. Sabuncu, William Wells (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 556-563). Springer Verlag.
MLA:
Oda, Masahiro, et al. "Regression forest-based atlas localization and direction specific atlas generation for pancreas segmentation." Proceedings of the Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Ed. Gozde Unal, Sebastian Ourselin, Leo Joskowicz, Mert R. Sabuncu, William Wells, Springer Verlag, 2016. 556-563.
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