Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Head of Department of Computing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Oda:2016:10.1007/978-3-319-46723-8_64,
author = {Oda, M and Shimizu, N and Karasawa, K and Nimura, Y and Kitasaka, T and Misawa, K and Fujiwara, M and Rueckert, D and Mori, K},
doi = {10.1007/978-3-319-46723-8_64},
pages = {556--563},
title = {Regression forest-based atlas localization and direction specific atlas generation for pancreas segmentation},
url = {http://dx.doi.org/10.1007/978-3-319-46723-8_64},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - © Springer International Publishing AG 2016. 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.
AU - Oda,M
AU - Shimizu,N
AU - Karasawa,K
AU - Nimura,Y
AU - Kitasaka,T
AU - Misawa,K
AU - Fujiwara,M
AU - Rueckert,D
AU - Mori,K
DO - 10.1007/978-3-319-46723-8_64
EP - 563
PY - 2016///
SN - 0302-9743
SP - 556
TI - Regression forest-based atlas localization and direction specific atlas generation for pancreas segmentation
UR - http://dx.doi.org/10.1007/978-3-319-46723-8_64
ER -