View‐Sharing Artifact Reduction With Retrospective Compressed Sensing Reconstruction in the Context of Contrast‐Enhanced Liver MRI for Hepatocellular Carcinoma (HCC) Screening. Issue 4 (2nd November 2018)
- Record Type:
- Journal Article
- Title:
- View‐Sharing Artifact Reduction With Retrospective Compressed Sensing Reconstruction in the Context of Contrast‐Enhanced Liver MRI for Hepatocellular Carcinoma (HCC) Screening. Issue 4 (2nd November 2018)
- Main Title:
- View‐Sharing Artifact Reduction With Retrospective Compressed Sensing Reconstruction in the Context of Contrast‐Enhanced Liver MRI for Hepatocellular Carcinoma (HCC) Screening
- Authors:
- Shaikh, Jamil
Stoddard, Paul B.
Levine, Evan G.
Roh, Albert T.
Saranathan, Manojkumar
Chang, Stephanie T.
Muelly, Michael C.
Hargreaves, Brian A.
Vasanawala, Shreyas S.
Loening, Andreas M. - Abstract:
- Abstract : 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 inAbstract : 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 < 0.0001) and less motion artifact (mean 3.6 vs. 3.2, P = 0.006). CS compared with VS demonstrated significantly improved delineations of liver margin (mean 4.5 vs. 3.8, P = 0.0002), portal veins (mean 4.5 vs. 3.7, P < 0.0001), and hepatic veins (mean 4.6 vs. 3.5, P < 0.0001), but significantly decreased delineation of hepatic arteries (mean 3.2 vs. 3.7, P = 0.004). No significant differences were seen in the other assessments. Data Conclusion: Applying a CS reconstruction to data acquired for a VS reconstruction significantly reduces motion artifacts in a clinical DCE protocol for HCC screening. Level of Evidence : 3 Technical Efficacy : Stage 2 J. Magn. Reson. Imaging 2019;49:984–993. … (more)
- Is Part Of:
- Journal of magnetic resonance imaging. Volume 49:Issue 4(2019)
- Journal:
- Journal of magnetic resonance imaging
- Issue:
- Volume 49:Issue 4(2019)
- Issue Display:
- Volume 49, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 49
- Issue:
- 4
- Issue Sort Value:
- 2019-0049-0004-0000
- Page Start:
- 984
- Page End:
- 993
- Publication Date:
- 2018-11-02
- Subjects:
- compressed sensing -- hepatocellular carcinoma -- dynamic contrast‐enhanced liver MRI -- motion artifact reduction
Magnetic resonance imaging -- Periodicals
616 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2586 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jmri.26276 ↗
- Languages:
- English
- ISSNs:
- 1053-1807
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5010.791000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14193.xml