View-Sharing Artifact Reduction With Retrospective Compressed Sensing Reconstruction in the Context of Contrast-Enhanced Liver MRI for Hepatocellular Carcinoma (HCC) Screening
| Autor: | Brian A. Hargreaves, Paul B. Stoddard, Andreas M. Loening, Stephanie T. Chang, Michael Muelly, Jamil Shaikh, Evan Levine, Manojkumar Saranathan, Shreyas S. Vasanawala, Albert T. Roh |
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| Rok vydání: | 2018 |
| Předmět: |
Male
Carcinoma Hepatocellular Wilcoxon signed-rank test Image quality Contrast Media Context (language use) 030218 nuclear medicine & medical imaging Pattern Recognition Automated 03 medical and health sciences Motion 0302 clinical medicine McNemar's test Image Interpretation Computer-Assisted Image Processing Computer-Assisted Medicine Humans Radiology Nuclear Medicine and imaging Stage (cooking) Aged Retrospective Studies Observer Variation Artifact (error) business.industry Respiration Liver Neoplasms Reconstruction algorithm Middle Aged Data Compression Magnetic Resonance Imaging Transplantation 030220 oncology & carcinogenesis Female business Nuclear medicine Artifacts Algorithms |
| Zdroj: | Journal of magnetic resonance imaging : JMRI. 49(4) |
| ISSN: | 1522-2586 |
| Popis: | BACKGROUND View-sharing (VS) increases spatiotemporal resolution in dynamic contrast-enhanced (DCE) MRI by sharing high-frequency k-space data across temporal phases. This temporal sharing results in respiratory motion within any phase to propagate artifacts across all shared phases. Compressed sensing (CS) eliminates the need for VS by recovering missing k-space data from pseudorandom undersampling, reducing temporal blurring while maintaining spatial resolution. PURPOSE To evaluate a CS reconstruction algorithm on undersampled DCE-MRI data for image quality and hepatocellular carcinoma (HCC) detection. STUDY TYPE Retrospective. SUBJECTS Fifty consecutive patients undergoing MRI for HCC screening (29 males, 21 females, 52-72 years). FIELD STRENGTH/SEQUENCE 3.0T MRI. Multiphase 3D-SPGR T1 -weighted sequence undersampled in arterial phases with a complementary Poisson disc sampling pattern reconstructed with VS and CS algorithms. ASSESSMENT VS and CS reconstructions evaluated by blinded assessments of image quality and anatomic delineation on Likert scales (1-4 and 1-5, respectively), and HCC detection by OPTN/UNOS criteria including a diagnostic confidence score (1-5). Blinded side-by-side reconstruction comparisons for lesion depiction and overall series preference (-3-3). STATISTICAL ANALYSIS Two-tailed Wilcoxon signed rank tests for paired nonparametric analyses with Bonferroni-Holm multiple-comparison corrections. McNemar's test for differences in lesion detection frequency and transplantation eligibility. RESULTS CS compared with VS demonstrated significantly improved contrast (mean 3.6 vs. 2.9, P |
| Databáze: | OpenAIRE |
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