Deep learning reconstructed T2-weighted Dixon imaging of the spine: Impact on acquisition time and image quality

被引:1
作者
Berkarda, Zeynep [1 ]
Wiedemann, Simon [1 ]
Wilpert, Caroline [1 ]
Strecker, Ralph [2 ]
Koerzdoerfer, Gregor [3 ]
Nickel, Dominik [3 ]
Bamberg, Fabian [1 ]
Benndorf, Matthias [1 ]
Mayrhofer, Thomas [4 ,5 ,6 ]
Russe, Maximilian Frederik [1 ]
Weiss, Jakob [1 ]
Diallo, Thierno D. [1 ]
机构
[1] Univ Freiburg, Univ Med Ctr Freiburg, Fac Med, Dept Diagnost & Intervent Radiol, Hugstetter Str 55, D-79106 Freiburg, Germany
[2] Siemens Healthcare GmbH, EMEA Sci Partnerships, Erlangen, Germany
[3] Siemens Healthcare GmbH, MR Applicat Predev, Erlangen, Germany
[4] Stralsund Univ Appl Sci, Sch Business Studies, Stralsund, Germany
[5] Massachusetts Gen Hosp, Cardiovasc Imaging Res Ctr, Dept Radiol, Boston, MA USA
[6] Harvard Med Sch, Boston, MA USA
关键词
Deep learning; Magnetic resonance imaging; Spine; Diagnostic imaging; MRI;
D O I
10.1016/j.ejrad.2024.111633
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose:<bold> </bold>To assess the image quality and impact on acquisition time of a novel deep learning based T2 Dixon sequence (T2(DL)) of the spine. Methods:<bold> </bold>This prospective, single center study included n = 44 consecutive patients with a clinical indication for lumbar MRI at our university radiology department between September 2022 and March 2023. MRI examinations were performed on 1.5-T and 3-T scanners (MAGNETOM Aera and Vida; Siemens Healthineers, Erlangen, Germany) using dedicated spine coils. The MR study protocol consisted of our standard clinical protocol, including a T2 weighted standard Dixon sequence (T2(std)) and an additional T2(DL) acquisition. The latter used a conventional sampling pattern with a higher parallel acceleration factor. The individual contrasts acquired for Dixon water-fat separation were then reconstructed using a dedicated research application. After reconstruction of the contrast images from k-space data, a conventional water-fat separation was performed to provide derived water images. Two readers with 6 and 4 years of experience in interpreting MSK imaging, respectively, analyzed the images in a randomized fashion. Regarding overall image quality, banding artifacts, artifacts, sharpness, noise, and diagnostic confidence were analyzed using a 5-point Likert scale (from 1 = non-diagnostic to 5 = excellent image quality). Statistical analyses included the Wilcoxon signed-rank test and weighted Cohen's kappa statistics. Results: Forty-four patients (mean age 53 years (+/- 18), male sex: 39 %) were prospectively included. Thirty-one examinations were performed on 1.5 T and 13 examinations on 3 T scanners. A sequence was successfully acquired in all patients. The total acquisition time of T2(DL) was 93 s at 1.5-T and 86 s at 3-T, compared to 235 s, and 257 s, respectively for T2(std) (reduction of acquisition time: 60.4 % at 1.5-T, and 66.5 % at 3-T; p < 0.01). Overall image quality was rated equal for both sequences (median T2(DL): 5[3 -5], and median T2(std): 5 [2 -5]; p = 0.57). T2(DL) showed significantly reduced noise levels compared to T2(std) (5 [4 -5] versus 4 [3 -4]; p < 0.001). In addition, sharpness was rated to be significantly higher in T2(DL) (5 [4 -5] versus 4 [3 -5]; p < 0.001). Although T2(DL) displayed significantly more banding artifacts (5 [2 -5] versus 5 [4 -5]; p < 0.001), no significant impact on readers diagnostic confidence between sequences was noted (T2(std): 5 [2 -5], and T2(DL): 5 [3 -5]; p = 0.61). Substantial inter-reader and intrareader agreement was observed for T2(DL) overall image quality (kappa: 0.77, and kappa: 0.8, respectively). Conclusion: T2(DL) is feasible, yields an image quality comparable to the reference standard while substantially reducing the acquisition time.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] MRI T2-Weighted Imaging and Fat-Suppressed T2-Weighted Imaging Image Fusion Technology Improves Image Discriminablity for the Evaluation of Anal Fistulas
    Feng, Shi-Ting
    Huang, Mengqi
    Dong, Zhi
    Xu, Ling
    Li, Yin
    Jia, Yingmei
    Cai, Huasong
    Shen, Bingqi
    Li, Zi-Ping
    KOREAN JOURNAL OF RADIOLOGY, 2019, 20 (03) : 429 - 437
  • [42] Impact of Deep Learning Reconstruction Combined With a Sharpening Filter on Single-Shot Fast Spin-Echo T2-Weighted Magnetic Resonance Imaging of the Uterus
    Tsuboyama, Takahiro
    Onishi, Hiromitsu
    Nakamoto, Atsushi
    Ogawa, Kazuya
    Koyama, Yoshihiro
    Tarewaki, Hiroyuki
    Tomiyama, Noriyuki
    INVESTIGATIVE RADIOLOGY, 2022, 57 (06) : 379 - 386
  • [43] Comparison of a deep learning-accelerated T2-weighted turbo spin echo sequence and its conventional counterpart for female pelvic MRI: reduced acquisition times and improved image quality
    Jing Ren
    Yuan Li
    Fei-Shi Liu
    Chong Liu
    Jin-Xia Zhu
    Marcel Dominik Nickel
    Xiao-Ye Wang
    Xin-Yu Liu
    Jia Zhao
    Yong-Lan He
    Zheng-Yu Jin
    Hua-Dan Xue
    Insights into Imaging, 13
  • [44] Comparison of a deep learning-accelerated T2-weighted turbo spin echo sequence and its conventional counterpart for female pelvic MRI: reduced acquisition times and improved image quality
    Ren, Jing
    Li, Yuan
    Liu, Fei-Shi
    Liu, Chong
    Zhu, Jin-Xia
    Nickel, Marcel Dominik
    Wang, Xiao-Ye
    Liu, Xin-Yu
    Zhao, Jia
    He, Yong-Lan
    Jin, Zheng-Yu
    Xue, Hua-Dan
    INSIGHTS INTO IMAGING, 2022, 13 (01)
  • [45] Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection
    Luke A. Ginocchio
    Paul N. Smereka
    Angela Tong
    Vinay Prabhu
    Dominik Nickel
    Simon Arberet
    Hersh Chandarana
    Krishna P. Shanbhogue
    Abdominal Radiology, 2023, 48 : 282 - 290
  • [46] Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection
    Ginocchio, Luke A.
    Smereka, Paul N.
    Tong, Angela
    Prabhu, Vinay
    Nickel, Dominik
    Arberet, Simon
    Chandarana, Hersh
    Shanbhogue, Krishna P.
    ABDOMINAL RADIOLOGY, 2023, 48 (01) : 282 - 290
  • [47] Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T2-Weighted, PD-FLAIR and T2-FLAIR Images) With Synthetic T1-Weighted Image, T1- and T2-Maps
    Ji, Sooyeon
    Jeong, Jinhee
    Oh, Se-Hong
    Nam, Yoonho
    Choi, Seung Hong
    Shin, Hyeong-Geol
    Shin, Dongmyung
    Jung, Woojin
    Lee, Jongho
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 40 (12) : 3617 - 3626
  • [48] Image quality and cancer visibility of T2-weighted Magnetic Resonance Imaging of the prostate at 7 Tesla
    E. K. Vos
    M. W. Lagemaat
    J. O. Barentsz
    J. J. Fütterer
    P. Zámecnik
    H. Roozen
    S. Orzada
    A. K. Bitz
    M. C. Maas
    T. W. J. Scheenen
    European Radiology, 2014, 24 : 1950 - 1958
  • [49] Image quality and cancer visibility of T2-weighted Magnetic Resonance Imaging of the prostate at 7 Tesla
    Vos, E. K.
    Lagemaat, M. W.
    Barentsz, J. O.
    Fuetterer, J. J.
    Zamecnik, P.
    Roozen, H.
    Orzada, S.
    Bitz, A. K.
    Maas, M. C.
    Scheenen, T. W. J.
    EUROPEAN RADIOLOGY, 2014, 24 (08) : 1950 - 1958
  • [50] Prognostic impact of T2-weighted CMR imaging for cardiac amyloidosis
    Ralf Wassmuth
    Hassan Abdel-Aty
    Steffen Bohl
    Jeanette Schulz-Menger
    European Radiology, 2011, 21 : 1643 - 1650