@inproceedings{c8958f58a1a24c88a385e4ffeda3a176,
title = "Spiral MRI reconstruction using least square quantization table",
abstract = "Recently, the authors introduced least square quantization table (LSQT) method to accelerate the direct Fourier transform to reconstruct magnetic resonance images acquired using a spiral trajectory. In this paper, we will discuss the LSQT further in its adaptability, reusability and choice of the number of groups. The experimental results show that the LSQT method has better adaptability for the different reconstruction cases than the equal phase line (EPL) and Kaiser-Bessel gridding methods. Additionally, it can be reused for reconstructing different images of varied sizes.",
keywords = "Adaptability, Image reconstruction, Least square quantization table, Reusability, Spiral trajectory",
author = "Dong Liang and Lam, {Edmund Y.} and Fung, {George S.K.} and Xin Zhang",
year = "2008",
doi = "10.1007/978-3-540-79490-5_35",
language = "English (US)",
isbn = "3540794891",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "287--293",
booktitle = "Medical Imaging and Informatics - 2nd International Conference, MIMI 2007, Revised Selected Papers",
note = "2nd International Conference on Medical Imaging and Informatics, MIMI 2007 ; Conference date: 14-08-2007 Through 16-08-2007",
}