Presentation 2008/10/23
Segmentation algorithm for the whole vertebrae applicable to the posterior segment
Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kumi Ohtomo,
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Abstract(in English) The posterior segment of the vertebral bone has relatively complex structure, such as intervertebral joints, so the segmentation is more difficult compared to the anterior segments (vertebral bodies). We propose a novel thermal flow segmentation method for this. In this method, the segmentation is performed through simulation of thermal flow that circumvents bone structures. At first, a thermal conductivity image, which defines the thermal conductivity of each voxel, is calculated. The conductivity is set to be small for cortical bone voxels, whereas large for joint space voxels. Then thermal fluxes are generated by heat from an external source, i.e., providing and removing heat on the borders of the given area of concern. The segmentation of each vertebra is performed by chasing these heat fluxes which circumvent the bones. We evaluated this method with a phantom, as well as cervical and lumbar spine CT datasets of a patient.
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Keyword(in English) Segmentation / Vertebral body / CT images
Paper # MI2008-49
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Committee MI
Conference Date 2008/10/23(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Segmentation algorithm for the whole vertebrae applicable to the posterior segment
Sub Title (in English)
Keyword(1) Segmentation
Keyword(2) Vertebral body
Keyword(3) CT images
1st Author's Name Shouhei Hanaoka
1st Author's Affiliation Division of Radiology, and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo()
2nd Author's Name Yukihiro Nomura
2nd Author's Affiliation Department of Radiology, The University of Tokyo Hospital
3rd Author's Name Mitsutaka Nemoto
3rd Author's Affiliation Department of Radiology, The University of Tokyo Hospital
4th Author's Name Yoshitaka Masutani
4th Author's Affiliation Division of Radiology, and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo:Department of Radiology, The University of Tokyo Hospital
5th Author's Name Eriko Maeda
5th Author's Affiliation Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital
6th Author's Name Takeharu Yoshikawa
6th Author's Affiliation Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital
7th Author's Name Naoto Hayashi
7th Author's Affiliation Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital
8th Author's Name Naoki Yoshioka
8th Author's Affiliation Department of Intergated Imaging Informatics, The University of Tokyo Hospital
9th Author's Name Kumi Ohtomo
9th Author's Affiliation Division of Radiology, and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo:Department of Radiology, The University of Tokyo Hospital
Date 2008/10/23
Paper # MI2008-49
Volume (vol) vol.108
Number (no) 271
Page pp.pp.-
#Pages 6
Date of Issue