@inproceedings{32d45c94208d492586f3ce629d6893c2,
title = "Medical image matching using variable randomized undersampling probability pattern in data acquisition",
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.",
author = "Jinseong Jang and Eo, {Tae Joon} and Minoh Kim and Narae Choi and Dongyup Han and Donghyun Kim and Dosik Hwang",
year = "2014",
month = sep,
day = "30",
doi = "10.1109/ELINFOCOM.2014.6914453",
language = "English",
series = "13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings",
address = "United States",
note = "13th International Conference on Electronics, Information, and Communication, ICEIC 2014 ; Conference date: 15-01-2014 Through 18-01-2014",
}