Accurate estimation of total intracranial volume in MRI using a multi-tasked image-to-image translation network

Mallika Singh; Eleanor Pahl; Shangxian Wang; Aaron Carass; Junghoon Lee; Jerry L. Prince

doi:10.1117/12.2582264

15 February 2021 Accurate estimation of total intracranial volume in MRI using a multi-tasked image-to-image translation network

Mallika Singh, Eleanor Pahl, Shangxian Wang, Aaron Carass, Junghoon Lee, Jerry L. Prince

Author Affiliations +

Proceedings Volume 11596, Medical Imaging 2021: Image Processing; 115960I (2021) https://doi.org/10.1117/12.2582264
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

Total intracranial volume (TIV) is the volume enclosed inside the cranium, inclusive of the meninges and the brain. TIV is extensively used to correct variations in inter-subject head size for the evaluation of neurodegen- erative diseases. In this work, we present an automatic method to generate a TIV mask from MR images while synthesizing a CT image to be used in subsequent analysis. In addition, we propose an alternative way to obtain ground truth TIV masks using a semi-manual approach, which results in significant time savings. We train a conditional generative adversarial network (cGAN) using 2D MR slices to realize our tasks. The quantitative evaluation showed that the model was able to synthesize CT and generate TIV masks that closely approximate the reference images. This study also provides a comparison of the described method against skull stripping tools that output a mask enclosing the cranial volume, using MRI scan. In particular, highlighting the deficiencies in using such tools to approximate the volume using MRI scan.

Conference Presentation

Citation Download Citation

Mallika Singh, Eleanor Pahl, Shangxian Wang, Aaron Carass, Junghoon Lee, and Jerry L. Prince "Accurate estimation of total intracranial volume in MRI using a multi-tasked image-to-image translation network", Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115960I (15 February 2021); https://doi.org/10.1117/12.2582264

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