Abhilash Kizhakke Puliyakote1, Saman Khodaei2, Mariah L Costa1, José de Arcos, Ertan Cetingul3, Sherry S Huang4, Rolf F Schulte5, Andrew D Hahn1, Sean Fain 1,2
1Department of Radiology, University of Iowa, Iowa City, United States of America
2Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, United States of America
3GE HealthCare (Waukesha, US), Waukesha, United States of America
4GE HealthCare, Rochester, United States of America
5GE Healthcare, Munich, Germany
Presenting Author: Sean Fain
Synopsis
Motivation:
Goals:
Approach:
Hypothesis:
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.
1. Young IR, Clarke GJ, Bailes DR, Pennock JM, Doyle FH, Bydder GM. Enhancement of relaxation rate with paramagnetic contrast agents in NMR imaging. J Comput Tomogr 1981;5(6):543-7. DOI: 10.1016/0149-936x(81)90089-8. [doi]
2. Bae K, Jeon KN, Hwang MJ, et al. Comparison of lung imaging using three-dimensional ultrashort echo time and zero echo time sequences: preliminary study. Eur Radiol 2019;29(5):2253-2262. DOI: 10.1007/s00330-018-5889-x. [doi]
3. Bae K, Jeon KN, Hwang MJ, et al. Respiratory motion-resolved four-dimensional zero echo time (4D ZTE) lung MRI using retrospective soft gating: feasibility and image quality compared with 3D ZTE. Eur Radiol 2020;30(9):5130-5138. DOI: 10.1007/s00330-020-06890-x. [doi]
4. Zhu X, Chan M, Lustig M, Johnson KM, Larson PEZ. Iterative motion-compensation reconstruction ultra-short TE (iMoCo UTE) for high-resolution free-breathing pulmonary MRI. Magn Reson Med 2020;83(4):1208-1221. DOI: 10.1002/mrm.27998. [doi]
5. R. Marc Lebel P. Performance characterization of a novel deep learning-based MR image reconstruction pipeline. arXiv preprint arXiv:2008.06559 (2020). DOI: 10.48550/arXiv.2008.06559. [doi]
6. Badrinarayanan V, Kendall A, Cipolla R. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. IEEE Trans Pattern Anal Mach Intell 2017;39(12):2481-2495. DOI: 10.1109/TPAMI.2016.2644615. [doi]
7. Wasserthal J, Breit HC, Meyer MT, Pradella M, Hinck D, Sauter AW, Heye T, Boll DT, Cyriac J, Yang S, Bach M, Segeroth M. TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Radiol Artif Intell 5(5):e230024. (2020). DOI: 10.1148/ryai.230024. PMID: 37795137. [doi][pmid]
8. Wiesinger F, Ljungberg E, Engström M, Kaushik S, Wood T, Williams S, Barker G, Solana AB. PSST … Parameter mapping Swift and SilenT. Proc. Intl. Soc. Mag. Reson. Med. 28 (2020). 0882.