ArticleTomography (Ann Arbor, Mich.)2017
Mask-Adapted Background Field Removal for Artifact Reduction in Quantitative Susceptibility Mapping of the Prostate.
Article in Tomography (Ann Arbor, Mich.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Quantitative Susceptibility Mapping of Kidney Stones: An Ex Vivo MRI Phantom Study.Magnetic resonance in medicine · 2026Article
- Toward a realistic in silico abdominal phantom for QSM.Magnetic resonance in medicine · 2023Article
- QSM Throughout the Body.Journal of magnetic resonance imaging : JMRI · 2023Review
- QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping.Magnetic resonance in medicine · 2022Article
- Quantitative susceptibility mapping of the head-and-neck using SMURF fat-water imaging with chemical shift and relaxation rate corrections.Magnetic resonance in medicine · 2022Article
- Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging.The British journal of radiology · 2019Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose an alternative processing method for quantitative susceptibility mapping of the prostate that reduces artifacts and enables better visibility and quantification of calcifications and other lesions. Three-dimensional gradient-echo magnetic resonance data were obtained from 26 patients at 3 T who previously received a planning computed tomography of the prostate. Phase images were unwrapped using Laplacian-based phase unwrapping. The background field was removed with the V-SHARP method using tissue masks for the entire abdomen (Method 1) and masks that excluded bone and the rectum (Method 2). Susceptibility maps were calculated with the iLSQR method. The quality of susceptibility maps was assessed by one radiologist and two physicists who rated the data for visibility of lesions and data quality on a scale from 1 (poor) to 4 (good). The readers rated susceptibility maps computed with Method 2 to be, on average, better for visibility of lesions with a score of 2.9 ± 1.1 and image quality with a score of 2.8 ± 0.8 compared with maps computed with Method 1 (2.4 ± 1.2/2.3 ± 1.0). Regarding strong artifacts, these could be removed using adapted masks, and the susceptibility values seemed less biased by the artifacts. Thus, using an adapted mask for background field removal when calculating susceptibility maps of the prostate from phase data reduces artifacts and improves visibility of lesions.
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