AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery.

Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue interfaces pose a significant challenge for high-precision radiation therapy modalities like stereotactic radiosurgery, necessitating sub-millimeter accuracy. To achieve this goal, we developed AutoCorNN, a...

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Bibliographic Details

Published in:	Journal of Imaging Informatics in Medicine Vol. 38; no. 1; pp. 587 - 602
Main Authors:	Hosseini, Mahboube Sadat, Aghamiri, Seyed Mahmoud Reza, Fatemi Ardekani, Ali, BagheriMofidi, Seyed Mehdi, Safari, Mojtaba
Format:	diagnostic images equations & formulas research tables/charts Journal Article
Published:	Springer Nature Feb2025
Online Access:	View this record in EBSCOhost