Volume 72, Issue 2 pp. 324-336
Full Paper

Accelerated multi-shot diffusion imaging

Bruno Madore

Corresponding Author

Bruno Madore

Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA

Address reprint requests to: Bruno Madore, Ph.D., Brigham and Women's Hospital, Radiology Department, 75 Francis Street, Boston, MA 02115. E-mail: [email protected]Search for more papers by this author
Jr-yuan George Chiou

Jr-yuan George Chiou

Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA

Search for more papers by this author
Renxin Chu

Renxin Chu

Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA

Search for more papers by this author
Tzu-Cheng Chao

Tzu-Cheng Chao

Department of Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan

Institute of Medical Informatics, National Cheng-Kung University, Tainan, Taiwan

Search for more papers by this author
Stephan E. Maier

Stephan E. Maier

Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA

Search for more papers by this author
First published: 04 September 2013
Citations: 12

Abstract

Purpose

To reduce image distortion in MR diffusion imaging using an accelerated multi-shot method.

Methods

The proposed method exploits the fact that diffusion-encoded data tend to be sparse when represented in the kb-kd space, where kb and kd are the Fourier transform duals of b and d, the b-factor and the diffusion direction, respectively. Aliasing artifacts are displaced toward under-used regions of the kb-kd plane, allowing nonaliased signals to be recovered. A main characteristic of the proposed approach is how thoroughly the navigator information gets used during reconstruction: The phase of navigator images is used for motion correction, while the magnitude of the navigator signal in kb-kd space is used for regularization purposes. As opposed to most acceleration methods based on compressed sensing, the proposed method reduces the number of ky lines needed for each diffusion-encoded image, but not the total number of images required. Consequently, it tends to be most effective at reducing image distortion rather than reducing total scan time.

Results

Results are presented for three volunteers with acceleration factors ranging from 4 to 8, with and without the inclusion of parallel imaging.

Conclusion

An accelerated motion-corrected diffusion imaging method was introduced that achieves good image quality at relatively high acceleration factors. Magn Reson Med 72:324–336, 2014. © 2013 Wiley Periodicals, Inc.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.