Conference proceeding
Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vol.2016-, pp.1107-1110
08/2016
DOI: 10.1109/EMBC.2016.7590897
PMID: 28268519
Abstract
Echo planar imaging (EPI)-based magnetic resonance imaging (MRI) data are often corrupted by Nyquist ghost artifacts resulting from odd-even shifts of the EPI read-outs. Algorithms that corrects for the Nyquist ghost artifacts rely on calibration scans that are collected prior to the data acquisition. However, a more complex pattern of ghosting artifacts arises when diffusion-weighted data are acquired using segmented k-space EPI read-outs. The additional under-sampling present in the segmented acquisitions and the inter-shot motion during diffusion weighted acquistion cause ghosting artifacts in addition to the EPI ghosting arising from odd-even shifts. We propose a comprehensive method that can remove the Nyquist-ghosting artifacts as well as the inter-shot motion-induced ghosting artifacts in diffusion weighted images in a single step from partial Fourier data without the need for a calibration scan. We show very high quality diffusion data recovery using the proposed method.
Details
- Title: Subtitle
- Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels
- Creators
- Merry Mani - Univ. of Iowa, Iowa City, IA, USAVincent Magnotta - Univ. of Iowa, Iowa City, IA, USADouglas Kelley - GE Healthcare, Waukesha, WI, USAMathews Jacob - Univ. of Iowa, Iowa City, IA, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vol.2016-, pp.1107-1110
- DOI
- 10.1109/EMBC.2016.7590897
- PMID
- 28268519
- NLM abbreviation
- Conf Proc IEEE Eng Med Biol Soc
- ISSN
- 1557-170X
- eISSN
- 2694-0604
- Publisher
- IEEE
- Language
- English
- Date published
- 08/2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Psychiatry; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984051892002771
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