Abstract
This paper proposes a randomized variable probability pattern in under-sampling acquisition for medical image matching which is a method that can perform the quantitative analysis of tissue parameters. For high-speed estimation of tissue parameters, random under-sampling with less than the Nyquist rate in k-space is required. This study presents an accurate parameter mapping method for under-sampled data by using various randomized probability pattern. In comparison to the fixed probability pattern, the proposed method shows improved estimation results with reduced artifacts such as ghosting effects due to the undersampling scheme.
Original language | English |
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Title of host publication | 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781479939428 |
DOIs | |
Publication status | Published - 2014 Sep 30 |
Event | 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Kota Kinabalu, Malaysia Duration: 2014 Jan 15 → 2014 Jan 18 |
Publication series
Name | 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings |
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Other
Other | 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 |
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Country/Territory | Malaysia |
City | Kota Kinabalu |
Period | 14/1/15 → 14/1/18 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering