Super-Resolution in Clinically Available Spinal Cord MRIs Enables Automated Atrophy Analysis.

Autor:	Dewey BE; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Remedios SW; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Sanjayan M; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Rjeily NB; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Lee AZ; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Wyche C; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Duncan S; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Prince JL; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Calabresi PA; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Fitzgerald KC; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A., Mowry EM; From the Department of Neurology (B.E.D., M.S., N.B., A.Z.L., C.W., S.D., P.A.C., K.C.F., E.M.M.), Department of Computer Science (S.W.R.) and Department of Electrical and Computer Engineering (J.L.P.) Johns Hopkins University, Baltimore, Maryland, U.S.A.
Jazyk:	angličtina
Zdroj:	AJNR. American journal of neuroradiology [AJNR Am J Neuroradiol] 2024 Oct 04. Date of Electronic Publication: 2024 Oct 04.
DOI:	10.3174/ajnr.A8526
Abstrakt:	Background and Purpose: Measurement of the mean upper cervical cord area (MUCCA) is an important biomarker in the study of neurodegeneration. However, dedicated high-resolution scans of the cervical spinal cord are rare in standard-of-care imaging due to timing and clinical usability. Most clinical cervical spinal cord imaging is sagittally acquired in 2D with thick slices and anisotropic voxels. As a solution, previous work describes high-resolution T1-weighted brain imaging for measuring the upper cord area, but this is still not common in clinical care. Materials and Methods: We propose using a zero-shot super-resolution technique, SMORE, already validated in the brain, to enhance the resolution of 2D-acquired scans for upper cord area calculations. To incorporate super-resolution in spinal cord analysis, we validate SMORE against high-resolution research imaging and in a real-world longitudinal data analysis. Results: Super-resolved images reconstructed using SMORE showed significantly greater similarity to the ground truth than low-resolution images across all tested resolutions (p<0.001 for all resolutions in PSNR and MSSIM). MUCCA results from super-resolved scans demonstrate excellent correlation with high-resolution scans (r>0.973 for all resolutions) compared to low-resolution scans. Additionally, super-resolved scans are consistent between resolutions (r>0.969), an essential factor in longitudinal analysis. Compared to clinical outcomes such as walking speed or disease severity, MUCCA values from low-resolution scans have significantly lower correlations than those from high-resolution scans. Super-resolved results have no significant difference. In a longitudinal real-world dataset, we show that these super-resolved volumes can be used in conjunction with T1-weighted brain scans to show a significant rate of atrophy (-0.790, p=0.020 vs. -0.438, p=0.301 with low-resolution). Conclusions: Super-resolution is a valuable tool for enabling large-scale studies of cord atrophy, as low-resolution images acquired in clinical practice are common and available. Abbreviations: MS=multiple sclerosis; MUCCA=mean upper cervical cord; HR=high-resolution; LR=low-resolution; SR=superresolved; CSC=cervical spinal cord; PMJ=pontomedullary junction; MSSIM=mean structural similarity; PSNR=peak signal-to-noise ratio; EDSS=expanded disability status scale. Competing Interests: All other authors declare no conflicts of interest related to the content of this article. (© 2024 by American Journal of Neuroradiology.)
Databáze:	MEDLINE
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