A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field
Aviles J, Colford K, Hall M, Marenzana M, Uus A, Giles S, Bridgen P, Rutherford MA, Malik SJ, Hajnal JV, Tomi-Tricot R, Hutter J (2022)
Publication Type: Conference contribution
Publication year: 2022
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 13575 LNCS
Pages Range: 13-24
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Singapore, SGP
ISBN: 9783031171161
DOI: 10.1007/978-3-031-17117-8_2
Abstract
Fetal Magnetic Resonance Imaging (Fetal MRI) allows insights into human development before birth, complementing conventional Ultrasound imaging with its high resolution and available numerous contrast options. Significant challenges still exist including geometric distortion caused by maternal bowel gas in echo-planar imaging, and restrictions in bore size limiting access to MRI in the obese and or claustrophobic population. Recent developments of clinical low-field scanners can meet these challenges and thus render fetal MRI more accessible. This study shows anatomical imaging and quantitative T2* mapping on a 0.55T system with an analysis pipeline for both placenta and fetal brain. Results show an expected increased overall T2* compared to higher fields, with values decreasing over gestation as shown at higher field. Future work will be directed towards exploring additional types of relaxometry and the use of the presented techniques in subjects with higher Body Mass Index. Included data and analysis code are publicly available.
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United Kingdom (GB)How to cite
APA:
Aviles, J., Colford, K., Hall, M., Marenzana, M., Uus, A., Giles, S.,... Hutter, J. (2022). A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field. In Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 13-24). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
MLA:
Aviles, Jordina, et al. "A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field." Proceedings of the 7th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, Singapore, SGP Ed. Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan, Springer Science and Business Media Deutschland GmbH, 2022. 13-24.
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