Presentation 2011-05-19
Super-Resolution of Medical Images Based on Hallucination Methods
Yutaro Iwamoto, Xian-Hua Han, Motonori Ohashi, So Sasatani, Kazuki Taniguchi, Yen-Wei Chen,
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Abstract(in English) In Medical imaging, the data resolution is usually insufficient for accurate diagnosis in clinical medicine. Especially in most case, the resolution in the slice direction (Z direction) is much lower than that of the in-plane resolution (XY direction). Therefore it is difficult to construct isotropic voxels, which is very important in 3-D visualization systems, such as surgical system. In this paper, we propose a method for improving resolution in the slice direction for medical volume images based on Hallucination method, which is one of the learning based super-resolution techniques. The experimental results verify the effectiveness of the proposed method, and we compared with the conventional interpolation methods.
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Keyword(in English) Super-Resolution / Hallucination method / Interpolation / Principal Component Analysis
Paper # IE2011-19,PRMU2011-11,MI2011-11
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Conference Information
Committee PRMU
Conference Date 2011/5/12(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Super-Resolution of Medical Images Based on Hallucination Methods
Sub Title (in English)
Keyword(1) Super-Resolution
Keyword(2) Hallucination method
Keyword(3) Interpolation
Keyword(4) Principal Component Analysis
1st Author's Name Yutaro Iwamoto
1st Author's Affiliation Ritsumeikan University()
2nd Author's Name Xian-Hua Han
2nd Author's Affiliation Ritsumeikan University
3rd Author's Name Motonori Ohashi
3rd Author's Affiliation Ritsumeikan University
4th Author's Name So Sasatani
4th Author's Affiliation Ritsumeikan University
5th Author's Name Kazuki Taniguchi
5th Author's Affiliation Ritsumeikan University
6th Author's Name Yen-Wei Chen
6th Author's Affiliation Ritsumeikan University
Date 2011-05-19
Paper # IE2011-19,PRMU2011-11,MI2011-11
Volume (vol) vol.111
Number (no) 48
Page pp.pp.-
#Pages 6
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