Health AI Central
Peer-Reviewed Publication
bioRxiv2025September 23, 2025Journal Article

Automatic segmentation of medial temporal lobe subregions in multi-scanner, multi-modality magnetic resonance imaging of variable quality.

Yue Li1,2, Long Xie3, Pulkit Khandelwal1, Laura E M Wisse4, Christopher A Brown5, Karthik Prabhakaran2, M Dylan Tisdall2, Dawn Mechanic-Hamilton5,6, John A Detre5, Sandhitsu R Das1,5, David A Wolk5,6, Paul A Yushkevich1,2
1Penn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, USA.
2Department of Radiology, University of Pennsylvania, Philadelphia, USA.
3Department of Digital Technology and Innovation, Siemens Healthineers, Princeton, USA.
4Department of Diagnostic Radiology, Lund University, Lund, Sweden.
5Department of Neurology, University of Pennsylvania, Philadelphia, USA.
6Penn Memory Center, University of Pennsylvania, Philadelphia, USA.
PubMed PMC DOI PDF

Abstract

OBJECTIVES: Volumetry of subregions in the medial temporal lobe (MTL) computed from automatic segmentation in MRI can track neurodegeneration in Alzheimer's disease. However, poor quality MR images can lead to unreliable segmentation of MTL subregions. Considering that different MRI contrast mechanisms and field strengths (jointly referred to as "modalities" here) offer distinct advantages in imag…

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