Presentation 2017-09-15
Posterior Mean Approximate Estimate Considering Uncertainty of Sensitivity Map in CS-SENSE
Ken Harada, Masato Inoue, Kaori Togashi,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Posterior mean (PM) estimation is generally more accurate than maximum a posteriori probability (MAP) estimation when we adopt the squared error for the accuracy evaluation of the estimated image and the true image. However, in rapid MR image reconstruction, a simple MAP solution is often substituted. In this research, we extend the CS-SENSE method by using not a single but multiple sensitivity maps with a variety of resolutions, and construct a model that approximates the PM solution by linear combination of MAP solutions corresponding to each sensitivity map. The connection weights (non-negative real values) are learned from the correct images, and they became sparse. As a result, we achieved 40% improvement over MAP solution.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Rapid MR Imaging / Compressed Sensing / CS-SENSE / Posterior Mean Estimate
Paper # PRMU2017-49,IBISML2017-21
Date of Issue 2017-09-08 (PRMU, IBISML)

Conference Information
Committee PRMU / IBISML / IPSJ-CVIM
Conference Date 2017/9/15(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shinichi Sato(NII) / Kenji Fukumizu(ISM)
Vice Chair Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Masashi Sugiyama(Univ. of Tokyo)
Secretary Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Masashi Sugiyama(Kyoto Univ.) / (Univ. of Tokyo)
Assistant Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Ichiro Takeuchi(Nagoya Inst. of Tech.) / Toshihiro Kamishima(AIST)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Posterior Mean Approximate Estimate Considering Uncertainty of Sensitivity Map in CS-SENSE
Sub Title (in English)
Keyword(1) Rapid MR Imaging
Keyword(2) Compressed Sensing
Keyword(3) CS-SENSE
Keyword(4) Posterior Mean Estimate
1st Author's Name Ken Harada
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Masato Inoue
2nd Author's Affiliation Waseda University(Waseda Univ.)
3rd Author's Name Kaori Togashi
3rd Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2017-09-15
Paper # PRMU2017-49,IBISML2017-21
Volume (vol) vol.117
Number (no) PRMU-210,IBISML-211
Page pp.pp.75-82(PRMU), pp.75-82(IBISML),
#Pages 8
Date of Issue 2017-09-08 (PRMU, IBISML)