@inproceedings{251e2e43fa224970af92c8055e72fa0d,
title = "Reconstruction method by using sparse and low-rank structures for fast 4D-MRI acquisition",
abstract = "Previously, we proposed a method for reconstructing 4D-MRI of thoracoabdominal organs that can visualize and quantify the three-dimensional dynamics of organs due to respiration. However, the data acquisition time of the method is long, say, 30 min. In this study, we assume an interleave acquisition of images with a smaller number of the encoding in the k-space to shorten the data acquisition time. We also propose to use a reconstruction technique named k-t SLR that utilizes sparse and low rank structures of the data matrix to avoid image degradation due to the small number of data acquisition. We performed a simulation experiment where we regarded 4D-MR images by our previous method as ideal images, generated down sampled data in k-space, and applied k-t SLR reconstruction to those data. We evaluated the resultant images from three viewpoints and confirmed that the combination of fast data collection with a small number of encoding and the subsequent k-t SLR reconstruction can produce high quality MR images.",
keywords = "4D-MRI, Compressive sensing, Image reconstruction, K-t SLR, Low-rank structure, Sparseness",
author = "Yukinojo Kitakami and Takashi Ohnishi and Yoshitada Masuda and Koji Matsumoto and Hideaki Haneishi",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, ABDI 2014 held in conjunction with 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 ; Conference date: 14-09-2014 Through 14-09-2014",
year = "2014",
doi = "10.1007/978-3-319-13692-9_26",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "269--277",
editor = "Hiroyuki Yoshida and N{\"a}ppi, {Janne J.} and Sanjay Saini",
booktitle = "Abdominal Imaging",
}