Semi-automated generation of individual computational models of the human head and torso from MR images

Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine
Benjamin KallochPierre-Louis Bazin

Abstract

Simulating the interaction of the human body with electromagnetic fields is an active field of research. Individualized models are increasingly being used, as anatomical differences affect the simulation results. We introduce a processing pipeline for creating individual surface-based models of the human head and torso for application in simulation software based on unstructured grids. The pipeline is designed for easy applicability and is publicly released on figshare. The pipeline covers image acquisition, segmentation, generation of segmentation masks, and surface mesh generation of the single, external boundary of each structure of interest. Two gradient-echo sequences are used for image acquisition. Structures of the head and body are segmented using several atlas-based approaches. They consist of bone/skull, subarachnoid cerebrospinal fluid, gray matter, white matter, spinal cord, lungs, the sinuses of the skull, and a combined class of all other structures including skin. After minor manual preparation, segmentation images are processed to segmentation masks, which are binarized images per segmented structure free of misclassified voxels and without an internal boundary. The proposed workflow is applied to 2 healthy subj...Continue Reading

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Citations

Jun 24, 2020·Radiology·Alexandre BoutetAndres M Lozano
Apr 20, 2019·Frontiers in Neurology·Smadar Ovadia-CaroMaria Nazarova

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