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Combining SENSE and reduced field-of-view for high-resolution diffusion weighted magnetic resonance imaging.
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- Author(s): Hu J;Hu J; Li M; Li M; Dai Y; Dai Y; Geng C; Geng C; Tong B; Tong B; Zhou Z; Zhou Z; Liang X; Liang X; Yang W; Yang W; Zhang B; Zhang B
- Source:
Biomedical engineering online [Biomed Eng Online] 2018 Jun 15; Vol. 17 (1), pp. 77. Date of Electronic Publication: 2018 Jun 15.- Publication Type:
Journal Article- Language:
English - Source:
- Additional Information
- Source: Publisher: BioMed Central Country of Publication: England NLM ID: 101147518 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-925X (Electronic) Linking ISSN: 1475925X NLM ISO Abbreviation: Biomed Eng Online Subsets: MEDLINE
- Publication Information: Original Publication: London : BioMed Central, [2002-
- Subject Terms:
- Abstract: Background: In diffusion-weighted magnetic resonance imaging (DWI) using single-shot echo planar imaging (ss-EPI), both reduced field-of-view (FOV) excitation and sensitivity encoding (SENSE) alone can increase in-plane resolution to some degree. However, when the two techniques are combined to further increase resolution without pronounced geometric distortion, the resulted images are often corrupted by high level of noise and artifact due to the numerical restriction in SENSE. Hence, this study is aimed to provide a reconstruction method to deal with this problem.
Methods: The proposed reconstruction method was developed and implemented to deal with the high level of noise and artifact in the combination of reduced FOV imaging and traditional SENSE, in which all the imaging data were considered jointly by incorporating the motion induced phase variations among excitations. The in vivo human spine diffusion images from ten subjects were acquired at 1.5 T and reconstructed using the proposed method, and compared with SENSE magnitude average results for a range of reduction factors in reduced FOV. These images were evaluated by two radiologists using visual scores (considering distortion, noise and artifact levels) from 1 to 10.
Results: The proposed method was able to reconstruct images with greatly reduced noise and artifact compared to SENSE magnitude average. The mean g-factors were maintained close to 1 along with enhanced signal-to-noise ratio efficiency. The image quality scores of the proposed method were significantly higher (P < 0.01) than SENSE magnitude average for all the evaluated reduction factors.
Conclusion: The proposed method can improve the combination of SENSE and reduced FOV for high-resolution ss-EPI DWI with reduced noise and artifact. - References: Magn Reson Imaging. 2015 Jan;33(1):56-62. (PMID: 25200645)
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Neuroradiol J. 2018 Apr;31(2):126-132. (PMID: 29417865) - Grant Information: R00 AA020514 United States AA NIAAA NIH HHS; K99 AA020514 United States AA NIAAA NIH HHS
- Contributed Indexing: Keywords: Diffusion-weighted imaging; Parallel imaging; Reduced field-of-view; SENSE; Single-shot echo-planar imaging; g-Factor
- Publication Date: Date Created: 20180616 Date Completed: 20181001 Latest Revision: 20230819
- Publication Date: 20240105
- Accession Number: PMC6003092
- Accession Number: 10.1186/s12938-018-0511-7
- Accession Number: 29903023
- Source:
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