Presentation 2003/10/31
Detection of Linear Hyperintensity Objects on High-Resolution T2 Enhanced Image : Quantification for Severity of Hypertension
Shin-ichi URAYAMA, Masahiko HIROKI, Takashi HANAKAWA, Hidenao FUKUYAMA, Masayo ABE, Naozo SUGIMOTO,
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Abstract(in English) Recently, the white matter medullary arteries have attracted attention in connection with linear hyperintensities on T2-weighted magnetic resonance (MR) images. These linear hyperintensities have a potential to be an indicator of cerebral small vessel disease. This report describes the first trial to detect these fine structures. Since their width is at most three pixels and similar patterns are also observed on the images, a continuous image is defined based on the discrete image and measurements of the structures are carried out on the continuous image.
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Keyword(in English) linear hyperintensity objects / continuous image / T2 enhanced image / hypertension / ridge line detection
Paper # MI2003-49
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Committee MI
Conference Date 2003/10/31(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Linear Hyperintensity Objects on High-Resolution T2 Enhanced Image : Quantification for Severity of Hypertension
Sub Title (in English)
Keyword(1) linear hyperintensity objects
Keyword(2) continuous image
Keyword(3) T2 enhanced image
Keyword(4) hypertension
Keyword(5) ridge line detection
1st Author's Name Shin-ichi URAYAMA
1st Author's Affiliation Graduate School of Medicine, Kyoto University()
2nd Author's Name Masahiko HIROKI
2nd Author's Affiliation Graduate School of Medicine, Kyoto University
3rd Author's Name Takashi HANAKAWA
3rd Author's Affiliation Graduate School of Medicine, Kyoto University
4th Author's Name Hidenao FUKUYAMA
4th Author's Affiliation Graduate School of Medicine, Kyoto University
5th Author's Name Masayo ABE
5th Author's Affiliation Graduate School of Science, Kyoto University
6th Author's Name Naozo SUGIMOTO
6th Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2003/10/31
Paper # MI2003-49
Volume (vol) vol.103
Number (no) 409
Page pp.pp.-
#Pages 6
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