360-02-006 ISMRM Abstract

Deep Learning Reconstructed Single Isotropic PD-weighted Imaging of the Knee: Impact on Acquisition Time and Image Quality

Primary: Musculoskeletal - Whole Joint

Secondary: Acquisition & Reconstruction - Image Reconstruction: AI

360-02-006 · Machine Learning for Image Reconstruction · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row A

Keywords: Acquisition Methods Joints Skeletal

Accepted

Oliver Gebler ¹, Vlad Sacalean^2,3,4, Maximilian Löffler, Balazs Bogner^4,5, Ralph Strecker^6,7,8, Dominik Paul^6,8,9,10,11, Marcel Dominik Nickel^{6,7,8,9,12,13,14,15,16,17,18,19}, Matthias Jung⁴, Fabian Bamberg^2,4, Maximilian Frederik Russe^2,3,4, Jakob Weiß^2,4, Thierno Diallo⁵

¹Medical Center - University of Freiburg, Freiburg, Germany

²Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg, Germany

³Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg, Germany

⁴University Medical Center Freiburg — Department of Diagnostic and Interventional Radiology, Freiburg, Germany

⁵University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

⁶Siemens Healthineers AG, Erlangen, Germany

⁷MR Application Predevelopment, Siemens Healthineers, Erlangen, Germany

⁸Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany

⁹Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany

¹⁰Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany

¹¹MR Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany

¹²Siemens Healthineers AG, Forchheim, Germany

¹³Equal Contribution, Switzerland

¹⁴Siemens Healthineers GmbH, Forchheim, Germany

¹⁵MR Research and Clinical Translation, Siemens Healthineers AG, Erlangen, Germany

¹⁶Siemens Healthcare GmbH SHS DI MR DL ONCO Allee am Roethelheimpark 291052 Erlangen, Germany

¹⁷Siemens Healthineers AG, Forchheim, Germany (DE), Forchheim, Germany

¹⁸MR Research & Clinical Translation, Siemens Healthineers AG, Erlangen, Germany

¹⁹Siemens Healthineers GmbH, Forchheim, Germany

Presenting Author: Oliver Gebler

Synopsis

Motivation:

Goals:

Approach:

Results:

Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

References

1. Chien, A., Weaver, J. S., Kinne, E., & Omar, I. (2020). Magnetic resonance imaging of the knee. Polish journal of radiology, 85, e509–e531. DOI: 10.5114/pjr.2020.99415 [doi]

2. Naraghi AM, White LM. Imaging of athletic injuries of knee ligaments and menisci. Radiology. 2016;281(1):23–40. doi:10.1148/radiol.2016152320. DOI: 10.1148/radiol.2016152320 [doi]

3. Gassenmaier S, Küstner T, Nickel D, Herrmann J, Hoffmann R, Almansour H, Afat S, Nikolaou K, Othman AE. Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present? Diagnostics (Basel). 2021 Nov 24;11(12):2181. DOI: 10.3390/diagnostics11122181 [doi]

4. Schlemper J, Caballero J, Hajnal JV, Price AN, Rueckert D. A deep cascade of convolutional neural networks for dynamic MR image reconstruction. IEEE Trans Med Imaging. 2018;37:491–503. DOI: 10.1109/TMI.2017.2760978 [doi]

5. Hammernik K, Klatzer T, Kobler E, et al. Learning a variational network for reconstruction of accelerated MRI data. Magn Reson Med. 2018;79:3055–3071. DOI: 10.1002/mrm.26977 [doi]

6. Lim, D., Han Lee, Y., Kim, S., Song, H. T., & Suh, J. S. (2016). Clinical value of fat-suppressed 3D volume isotropic spin-echo (VISTA) sequence compared to 2D sequence in evaluating internal structures of the knee. Acta radiologica (Stockholm, Sweden : 1987), 57(1), 66–73. DOI: 10.1177/0284185114567560 [doi]

7. El-Liethy, N.E., Rashwan, A.S. & Kamal, H. Single isotropic 3D fast spin echo sequence compared with conventional 2D sequences for detecting meniscal and cruciate ligament tears in the knee. Egypt J Radiol Nucl Med 51, 258 (2020).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/360-02-006