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Proceedings Paper

Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes
Author(s): Hirohisa Oda; Kanwal K. Bhatia; Masahiro Oda; Takayuki Kitasaka; Shingo Iwano; Hirotoshi Homma; Hirotsugu Takabatake; Masaki Mori; Hiroshi Natori; Julia A. Schnabel; Kensaku Mori
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Paper Abstract

In this paper, we propose a novel supervoxel segmentation method designed for mediastinal lymph node by embedding Hessian-based feature extraction. Starting from a popular supervoxel segmentation method, SLIC, which computes supervoxels by minimising differences of intensity and distance, we overcome this method's limitation of merging neighboring regions with similar intensity by introducing Hessian-based feature analysis into the supervoxel formation. We call this structure-oriented voxel clustering, which allows more accurate division into distinct regions having blob-, line- or sheet-like structures. This way, different tissue types in chest CT volumes can be segmented individually, even if neighboring tissues have similar intensity or are of non- spherical extent. We demonstrate the performance of the Hessian-assisted supervoxel technique by applying it to mediastinal lymph node detection in 47 chest CT volumes, resulting in false positive reductions from lymph node candidate regions. 89 % of lymph nodes whose short axis is at least 10 mm could be detected with 5.9 false positives per case using our method, compared to our previous method having 83 % of detection rate with 6.4 false positives per case.

Paper Details

Date Published: 3 March 2017
PDF: 12 pages
Proc. SPIE 10134, Medical Imaging 2017: Computer-Aided Diagnosis, 101341D (3 March 2017); doi: 10.1117/12.2254782
Show Author Affiliations
Hirohisa Oda, Nagoya Univ. (Japan)
Kanwal K. Bhatia, King's College London (United Kingdom)
Masahiro Oda, Nagoya Univ. (Japan)
Takayuki Kitasaka, Aichi Institute of Technology (Japan)
Shingo Iwano, Nagoya Univ. Graduate School of Medicine (Japan)
Hirotoshi Homma, Sapporo-Kosei General Hospital (Japan)
Hirotsugu Takabatake, Sapporo Minami-Sanjo Hospital (Japan)
Masaki Mori, Sapporo-Kosei General Hospital (Japan)
Hiroshi Natori, Keiwakai Nishioka Hospital (Japan)
Julia A. Schnabel, King’s College London (United Kingdom)
Kensaku Mori, Nagoya Univ. (Japan)

Published in SPIE Proceedings Vol. 10134:
Medical Imaging 2017: Computer-Aided Diagnosis
Samuel G. Armato III; Nicholas A. Petrick, Editor(s)

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