Journal article
Quantitative diffusion MRI using reduced field-of-view and multi-shot acquisition techniques: Validation in phantoms and prostate imaging
Magnetic resonance imaging, Vol.51, pp.173-181
09/2018
DOI: 10.1016/j.mri.2018.04.006
PMCID: PMC6015549
PMID: 29678540
Abstract
To evaluate the reproducibility of quantitative diffusion measurements obtained with reduced Field of View (rFOV) and Multi-shot EPI (msEPI) acquisitions, using single-shot EPI (ssEPI) as a reference.
Diffusion phantom experiments, and prostate diffusion-weighted imaging in healthy volunteers and patients with known or suspected prostate cancer were performed across the three different sequences. Quantitative diffusion measurements of apparent diffusion coefficient, and diffusion kurtosis parameters (healthy volunteers), were obtained and compared across diffusion sequences (rFOV, msEPI, and ssEPI). Other possible confounding factors like b-value combinations and acquisition parameters were also investigated.
Both msEPI and rFOV have shown reproducible quantitative diffusion measurements relative to ssEPI; no significant difference in ADC was observed across pulse sequences in the standard diffusion phantom (p = 0.156), healthy volunteers (p ≥ 0.12) or patients (p ≥ 0.26). The ADC values within the non-cancerous central gland and peripheral zone of patients were 1.29 ± 0.17 × 10−3 mm2/s and 1.74 ± 0.23 × 10−3 mm2/s respectively. However, differences in quantitative diffusion parameters were observed across different number of averages for rFOV, and across b-value groups and diffusion models for all the three sequences.
Both rFOV and msEPI have the potential to provide high image quality with reproducible quantitative diffusion measurements in prostate diffusion MRI.
Details
- Title: Subtitle
- Quantitative diffusion MRI using reduced field-of-view and multi-shot acquisition techniques: Validation in phantoms and prostate imaging
- Creators
- Yuxin Zhang - University of Wisconsin–MadisonJames Holmes - University of Wisconsin–MadisonIñaki Rabanillo - Universidad de ValladolidArnaud Guidon - Applications and Workflow, GE Healthcare, Boston, MA, United States.Shane Wells - University of Wisconsin–MadisonDiego Hernando - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- Magnetic resonance imaging, Vol.51, pp.173-181
- DOI
- 10.1016/j.mri.2018.04.006
- PMID
- 29678540
- PMCID
- PMC6015549
- NLM abbreviation
- Magn Reson Imaging
- ISSN
- 0730-725X
- eISSN
- 1873-5894
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 09/2018
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984294926402771
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