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Accelerated High-Resolution Deep Learning Reconstruction Turbo Spin Echo MRI of the Knee at 7 T

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Název: Accelerated High-Resolution Deep Learning Reconstruction Turbo Spin Echo MRI of the Knee at 7 T
Autoři: Marth, Adrian Alexander, von Deuster, Constantin, Sommer, Stefan, Feuerriegel, Georg Constatin, Goller, Sophia S, Sutter, Reto, Nanz, Daniel
Přispěvatelé: University of Zurich, Marth, Adrian Alexander
Zdroj: Investigative Radiology. 59:831-837
Informace o vydavateli: Ovid Technologies (Wolters Kluwer Health), 2024.
Rok vydání: 2024
Témata: Male, Adult, Knee Joint, for, or not, 610 Medicine & health, S.S.) are employees of Siemens Healthineers who provided technical support but were not involved in data acquisition and analysis. The remaining authors do not have any conflict of interest to declare, Computer, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Image Interpretation, Computer-Assisted, commercial, Image Processing, Computer-Assisted, 2741 Radiology, Nuclear Medicine and Imaging, Assisted/methods Algorithms Healthy Volunteers Knee/diagnostic imaging Image Interpretation, Humans, Knee, Prospective Studies, authors (C.v.D, profit sectors. Two of the co, Assisted/methods specific grant from funding agencies in the public, Magnetic Resonance Imaging, Healthy Volunteers, Humans Female Male *Deep Learning Prospective Studies Adult *Magnetic Resonance Imaging/methods Knee Joint/diagnostic imaging Image Processing, 10046 Balgrist University Hospital, Swiss Spinal Cord Injury Center, Female, Algorithms
Popis: Objectives The aim of this study was to compare the image quality of 7 T turbo spin echo (TSE) knee images acquired with varying factors of parallel-imaging acceleration reconstructed with deep learning (DL)–based and conventional algorithms. Materials and Methods This was a prospective single-center study. Twenty-three healthy volunteers underwent 7 T knee magnetic resonance imaging. Two-, 3-, and 4-fold accelerated high-resolution fat-signal-suppressing proton density (PD-fs) and T1-weighted coronal 2D TSE acquisitions with an encoded voxel volume of 0.31 × 0.31 × 1.5 mm3 were acquired. Each set of raw data was reconstructed with a DL-based and a conventional Generalized Autocalibrating Partially Parallel Acquisition (GRAPPA) algorithm. Three readers rated image contrast, sharpness, artifacts, noise, and overall quality. Friedman analysis of variance and the Wilcoxon signed rank test were used for comparison of image quality criteria. Results The mean age of the participants was 32.0 ± 8.1 years (15 male, 8 female). Acquisition times at 4-fold acceleration were 4 minutes 15 seconds (PD-fs, Supplemental Video is available at http://links.lww.com/RLI/A938) and 3 minutes 9 seconds (T1, Supplemental Video available at http://links.lww.com/RLI/A939). At 4-fold acceleration, image contrast, sharpness, noise, and overall quality of images reconstructed with the DL-based algorithm were significantly better rated than the corresponding GRAPPA reconstructions (P < 0.001). Four-fold accelerated DL-reconstructed images scored significantly better than 2- to 3-fold GRAPPA-reconstructed images with regards to image contrast, sharpness, noise, and overall quality (P ≤ 0.031). Image contrast of PD-fs images at 2-fold acceleration (P = 0.087), image noise of T1-weighted images at 2-fold acceleration (P = 0.180), and image artifacts for both sequences at 2- and 3-fold acceleration (P ≥ 0.102) of GRAPPA reconstructions were not rated differently than those of 4-fold accelerated DL-reconstructed images. Furthermore, no significant difference was observed for all image quality measures among 2-fold, 3-fold, and 4-fold accelerated DL reconstructions (P ≥ 0.082). Conclusions This study explored the technical potential of DL-based image reconstruction in accelerated 2D TSE acquisitions of the knee at 7 T. DL reconstruction significantly improved a variety of image quality measures of high-resolution TSE images acquired with a 4-fold parallel-imaging acceleration compared with a conventional reconstruction algorithm.
Druh dokumentu: Article
Other literature type
Popis souboru: 2024_Marth_Accelerated_High_Resolution_Deep_Le.pdf - application/pdf
Jazyk: English
ISSN: 1536-0210
0020-9996
DOI: 10.1097/rli.0000000000001095
DOI: 10.5167/uzh-269102
Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38960863
https://www.zora.uzh.ch/id/eprint/269102/
https://doi.org/10.5167/uzh-269102
Rights: CC BY NC ND
Přístupové číslo: edsair.doi.dedup.....795abc88ac83816c1a1bdb0d3d8a35a8
Databáze: OpenAIRE
Popis
Abstrakt:Objectives The aim of this study was to compare the image quality of 7 T turbo spin echo (TSE) knee images acquired with varying factors of parallel-imaging acceleration reconstructed with deep learning (DL)–based and conventional algorithms. Materials and Methods This was a prospective single-center study. Twenty-three healthy volunteers underwent 7 T knee magnetic resonance imaging. Two-, 3-, and 4-fold accelerated high-resolution fat-signal-suppressing proton density (PD-fs) and T1-weighted coronal 2D TSE acquisitions with an encoded voxel volume of 0.31 × 0.31 × 1.5 mm3 were acquired. Each set of raw data was reconstructed with a DL-based and a conventional Generalized Autocalibrating Partially Parallel Acquisition (GRAPPA) algorithm. Three readers rated image contrast, sharpness, artifacts, noise, and overall quality. Friedman analysis of variance and the Wilcoxon signed rank test were used for comparison of image quality criteria. Results The mean age of the participants was 32.0 ± 8.1 years (15 male, 8 female). Acquisition times at 4-fold acceleration were 4 minutes 15 seconds (PD-fs, Supplemental Video is available at http://links.lww.com/RLI/A938) and 3 minutes 9 seconds (T1, Supplemental Video available at http://links.lww.com/RLI/A939). At 4-fold acceleration, image contrast, sharpness, noise, and overall quality of images reconstructed with the DL-based algorithm were significantly better rated than the corresponding GRAPPA reconstructions (P < 0.001). Four-fold accelerated DL-reconstructed images scored significantly better than 2- to 3-fold GRAPPA-reconstructed images with regards to image contrast, sharpness, noise, and overall quality (P ≤ 0.031). Image contrast of PD-fs images at 2-fold acceleration (P = 0.087), image noise of T1-weighted images at 2-fold acceleration (P = 0.180), and image artifacts for both sequences at 2- and 3-fold acceleration (P ≥ 0.102) of GRAPPA reconstructions were not rated differently than those of 4-fold accelerated DL-reconstructed images. Furthermore, no significant difference was observed for all image quality measures among 2-fold, 3-fold, and 4-fold accelerated DL reconstructions (P ≥ 0.082). Conclusions This study explored the technical potential of DL-based image reconstruction in accelerated 2D TSE acquisitions of the knee at 7 T. DL reconstruction significantly improved a variety of image quality measures of high-resolution TSE images acquired with a 4-fold parallel-imaging acceleration compared with a conventional reconstruction algorithm.
ISSN:15360210
00209996
DOI:10.1097/rli.0000000000001095