OBJECTIVE: The aim of this study was to assess the performance of double inversion recovery (DIR) sequences accelerated by compressed sensing (CS) in a clinical setting. MATERIALS AND METHODS: We included 106 patients with MS (62 female [58%]; mean age, 44.9 ± 11.0 years) in this prospective study. In addition to a full magnetic resonance imaging protocol including a conventional SENSE accelerated DIR, we acquired a CS DIR (time reduction, 51%). We generated subtraction maps between the two DIR sequences to visualize focal intensity differences. Two neuroradiologists independently assessed these maps for intensity differences, which were categorized into definite MS lesions, possible lesions, or definite artifacts. Counts of focal intensity differences were compared using a Wilcoxon rank sum test. Moreover, conventional lesion counts were acquired for both sequences in independent readouts, and agreement between the DIR variants was assessed with intraclass correlation coefficients. RESULTS: No hyperintensity that was rated as definite lesion was missed in the CS DIR. Two possible lesions were only detected in the conventional DIR, one only in the CS DIR (no significant difference, P = 0.57). The conventional DIR showed significantly more definite artifacts within the white matter (P = 0.024) and highly significantly more at the cortical-sulcal interface (P < 0.001). For both readers, intraclass correlation coefficient between the lesion counts in the two DIR variants was near perfect (0.985 for reader 1 and 0.981 for reader 2). CONCLUSIONS: Compressed sensing can be used to substantially reduce scan time of DIR sequences without compromising diagnostic quality. Moreover, the CS accelerated DIR proved to be significantly less prone to imaging artifacts.
OBJECTIVE: The aim of this study was to assess the performance of double inversion recovery (DIR) sequences accelerated by compressed sensing (CS) in a clinical setting. MATERIALS AND METHODS: We included 106 patients with MS (62 female [58%]; mean age, 44.9 ± 11.0 years) in this prospective study. In addition to a full magnetic resonance imaging protocol including a conventional SENSE accelerated DIR, we acquired a CS DIR (time reduction, 51%). We generated subtraction maps between the two DIR sequences to visualize focal intensity differences. Two neuroradiologists independently assessed these maps for intensity differences, which were categorized into definite MS lesions, possible lesions, or definite artifacts. Counts of focal intensity differences were compared using a Wilcoxon rank sum test. Moreover, conventional lesion counts were acquired for both sequences in independent readouts, and agreement between the DIR variants was assessed with intraclass correlation coefficients. RESULTS: No hyperintensity that was rated as definite lesion was missed in the CS DIR. Two possible lesions were only detected in the conventional DIR, one only in the CS DIR (no significant difference, P = 0.57). The conventional DIR showed significantly more definite artifacts within the white matter (P = 0.024) and highly significantly more at the cortical-sulcal interface (P < 0.001). For both readers, intraclass correlation coefficient between the lesion counts in the two DIR variants was near perfect (0.985 for reader 1 and 0.981 for reader 2). CONCLUSIONS: Compressed sensing can be used to substantially reduce scan time of DIR sequences without compromising diagnostic quality. Moreover, the CS accelerated DIR proved to be significantly less prone to imaging artifacts.
Authors: Jiaen Liu; Erin S Beck; Stefano Filippini; Peter van Gelderen; Jacco A de Zwart; Gina Norato; Pascal Sati; Omar Al-Louzi; Hadar Kolb; Maxime Donadieu; Mark Morrison; Jeff H Duyn; Daniel S Reich Journal: Invest Radiol Date: 2021-07-01 Impact factor: 10.065
Authors: Thomas Sartoretti; Elisabeth Sartoretti; Árpád Schwenk; Luuk van Smoorenburg; Manoj Mannil; André Euler; Anton S Becker; Alex Alfieri; Arash Najafi; Christoph A Binkert; Michael Wyss; Sabine Sartoretti-Schefer Journal: PLoS One Date: 2020-04-29 Impact factor: 3.240
Authors: Elisabeth Sartoretti; Thomas Sartoretti; Árpád Schwenk; Alex Alfieri; David Czell; Michael Wyss; Lukas Wildi; Christoph A Binkert; Sabine Sartoretti-Schefer Journal: Tomography Date: 2022-01-24
Authors: Tom Finck; Hongwei Li; Sarah Schlaeger; Lioba Grundl; Nico Sollmann; Benjamin Bender; Eva Bürkle; Claus Zimmer; Jan Kirschke; Björn Menze; Mark Mühlau; Benedikt Wiestler Journal: Front Neurosci Date: 2022-04-26 Impact factor: 5.152
Authors: Elisabeth Sartoretti; Michael Wyss; Alex Alfieri; Christoph A Binkert; Cyril Erne; Sabine Sartoretti-Schefer; Thomas Sartoretti Journal: Sci Rep Date: 2021-06-07 Impact factor: 4.379