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Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment

 
dc.contributor.authorSmekens, Celine
dc.contributor.authorBeirinckx, Quinten
dc.contributor.authorBosmans, Frederik
dc.contributor.authorVanhevel, Floris
dc.contributor.authorSnoeckx, Annemiek
dc.contributor.authorSijbers, Jan
dc.contributor.authorJeurissen, Ben
dc.contributor.authorJanssens, Thomas
dc.contributor.authorVan Dyck, Pieter
dc.contributor.imecauthorSmekens, Celine
dc.contributor.imecauthorBeirinckx, Quinten
dc.contributor.imecauthorSijbers, Jan
dc.contributor.imecauthorJeurissen, Ben
dc.contributor.orcidimecSmekens, Celine::0000-0002-6392-2913
dc.contributor.orcidimecBeirinckx, Quinten::0000-0002-5339-052X
dc.contributor.orcidimecSijbers, Jan::0000-0003-4225-2487
dc.contributor.orcidimecJeurissen, Ben::0000-0002-3488-9819
dc.date.accessioned2025-02-15T21:14:43Z
dc.date.available2025-02-15T21:14:43Z
dc.date.issued2025
dc.description.abstractObjectives The aim of this study was to evaluate the use of a multicontrast deep learning (DL)–reconstructed 4-fold accelerated 2-dimensional (2D) turbo spin echo (TSE) protocol and the feasibility of 3-dimensional (3D) superresolution reconstruction (SRR) of DL-enhanced 6-fold accelerated 2D Dixon TSE magnetic resonance imaging (MRI) for comprehensive knee joint assessment, by comparing image quality and diagnostic performance with a conventional 2-fold accelerated 2D TSE knee MRI protocol. Materials and Methods This prospective, ethics-approved study included 19 symptomatic adult subjects who underwent knee MRI on a clinical 3 T scanner. Every subject was scanned with 3 DL-enhanced acquisition protocols in a single session: a clinical standard 2-fold in-plane parallel imaging (PI) accelerated 2D TSE-based protocol (5 sequences, 11 minutes 23 seconds) that served as a reference, a DL-reconstructed 4-fold accelerated 2D TSE protocol combining 2-fold PI and 2-fold simultaneous multislice acceleration (5 sequences, 6 minutes 24 seconds), and a 3D SRR protocol based on DL-enhanced 6-fold accelerated (ie, 3-fold PI and 2-fold simultaneous multislice) 2D Dixon TSE MRI (6 anisotropic 2D Dixon TSE acquisitions rotated around the phase-encoding axis, 6 minutes 24 seconds). This resulted in a total of 228 knee MRI scans comprising 21,204 images. Three readers evaluated all pseudonymized and randomized images in terms of image quality using a 5-point Likert scale. Two of the readers (musculoskeletal radiologists) additionally evaluated anatomical visibility and diagnostic confidence to assess normal and pathological knee structures with a 5-point Likert scale. They recorded the presence and location of internal knee derangements, including cartilage defects, meniscal tears, tears of ligaments, tendons and muscles, and bone injuries. The statistical analysis included nonparametric Friedman tests, and interreader and intrareader agreement assessment using the weighted Fleiss-Cohen kappa (κ) statistic. P values of less than 0.05 were considered statistically significant. Results The evaluated DL-enhanced 4-fold accelerated 2D TSE protocol provided very similar image quality and anatomical visibility to the standard 2D TSE protocol, whereas the 3D SRR Dixon TSE protocol scored less in terms of overall image quality due to reduced edge sharpness and the presence of artifacts (P < 0.001). Subjective signal-to-noise ratio, contrast resolution, fluid brightness, and fat suppression were good to excellent for all protocols. For 1 reader, the Dixon method of the 3D SRR protocol provided significantly better fat suppression than the spectral fat saturation applied in the standard 2D TSE protocol (P < 0.05). The visualization of knee structures with 3D SRR Dixon TSE was very similar to the standard protocol, except for cartilage, tendons, and bone, which were affected by the presence of reconstruction and aliasing artifacts (P < 0.001). The diagnostic confidence of both readers was high for all protocols and all knee structures, except for cartilage and tendons. The standard 2D TSE protocol showed a significantly higher diagnostic confidence for assessing tendons than 3D SRR Dixon TSE MRI (P < 0.01). The interreader and intrareader agreement for the assessment of internal knee derangements using any of the 3 protocols was substantial to almost perfect (κ = 0.67–1.00). For cartilage, the interreader agreement was substantial for DL-enhanced accelerated 2D TSE (κ = 0.79) and almost perfect for standard 2D TSE (κ = 0.98) and 3D SRR Dixon TSE (κ = 0.87). For menisci, the interreader agreement was substantial for 3D SRR Dixon TSE (κ = 0.70–0.80) and substantial to almost perfect for standard 2D TSE (κ = 0.80–0.99) and DL-enhanced 2D TSE (κ = 0.87–1.00). Moreover, the total acquisition time was reduced by 44% when using the DL-enhanced accelerated 2D TSE or 3D SRR Dixon TSE protocol instead of the conventional 2D TSE protocol. Conclusions The presented DL-enhanced 4-fold accelerated 2D TSE protocol provides image quality and diagnostic performance similar to the standard 2D protocol. Moreover, the 3D SRR of DL-enhanced 6-fold accelerated 2D Dixon TSE MRI is feasible for multicontrast 3D knee MRI as its diagnostic performance is comparable to standard 2-fold accelerated 2D knee MRI. However, reconstruction and aliasing artifacts need to be further addressed to guarantee a more reliable visualization and assessment of cartilage, tendons, and bone. Both the 2D and 3D SRR DL-enhanced protocols enable a 44% faster examination compared with conventional 2-fold accelerated routine 2D TSE knee MRI and thus open new paths for more efficient clinical 2D and 3D knee MRI.
dc.description.wosFundingTextThis work was supported by the B-QMINDED project, funded by European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 764513.C.S. and Q.B. also received funding from the University of Antwerp (BOF/SEP#44883 and IOF/SBO #34427, respectively). P.V.D. and B.J. are supported by the Research Foundation (FWO) Flanders, Belgium (grant number G058723N).T.J. and C.S. are employees of Siemens Healthcare NV/SA. The funders and employers had no role in the design, implementation, or analysis of this research. Forthe remaining authors, none were declared.
dc.identifier.doi10.1097/rli.0000000000001118
dc.identifier.issn0020-9996
dc.identifier.pmidMEDLINE:39190787
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45222
dc.publisherLIPPINCOTT WILLIAMS & WILKINS
dc.source.beginpage220
dc.source.endpage233
dc.source.issue3
dc.source.journalINVESTIGATIVE RADIOLOGY
dc.source.numberofpages14
dc.source.volume60
dc.subject.keywordsSIMULTANEOUS MULTISLICE
dc.subject.keywordsIMAGE QUALITY
dc.subject.keywordsMRI
dc.subject.keywordsRECONSTRUCTION
dc.subject.keywordsRESOLUTION
dc.subject.keywordsIMPROVEMENT
dc.subject.keywordsACCURACY
dc.title

Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment

dc.typeJournal article
dspace.entity.typePublication
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