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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Segmentation / Vertebral body / CT images |
Paper # | MI2008-49 |
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Conference Information | |
Committee | MI |
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Conference Date | 2008/10/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Medical Imaging (MI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |