The MARTIN model is a multimodal imaging-based detailed anatomical computer model of 29-month-old boy. A total of 86 body tissue compartments were segmented, including deep-brain structures, skull, red bone marrow, brain grey matter, brain white matter, skin, subcutaneous fat, cerebrospinal fluid, meninges, muscle, eye, blood vessels, heart, lung, liver, kidney, spinal cord, optic nerves, cranial nerves (II, V, VIII, IX). Whole-body MRIs were acquired using MPRAGE, T2 FLAIR, Inversion Recovery, T1 Spin Echo, Echo Planar Fast Spin Echo (HASTE), T2 Fast Spin Echo, Radial VIBE sequences, and dual-energy CT scans, which were used to segment the various tissue compartments. An advanced auto-segmentation tool was used on the deep-brain structures.
The MARTIN model can be used for computational modeling studies, such as fluid dynamics, electromagnetics, optics, ultrasound, thermodynamics, and mechanics. Computational modeling with virtual humans is helpful in studying the interaction of complex biological problems in silico, for source localization, radio-frequency (RF) and specific absorption rate (SAR) exposure, and neurostimulation. The accurate anatomical representation of human numerical models has become an integral part of many safety studies, such as computed tomography dosimetry and in MRI RF exposure.
Important note: The MARTIN model is available in surface (.stl) format. The raw MR and CT image data are not distributed. Please refer to the table below for a list of all the structures included in the MARTIN model.
This model version includes a total of 86 structures.The most detailed image-based anatomical whole-body representation of 29-month-old numerical model available for computational modeling studies.
This model is free of charge for everyone (except for handling fees). To obtain the MARTIN Model, please click on the DOI number above. Please address all inquiries to the Martinos Center or to the Virtual Population Group.
The models were developed in cooperation with; the Athinoula A. Martinos Center For Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; the Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA; and the Center for Devices and Radiological Health, U.S. Food and Drug Administrator, Silver Spring, MD, United States. Financial support was provided by the NIH/NIBB grant R01EB024343.
Development, Validation, and Pilot MRI Safety Study of a High-Resolution, Open Source, Whole Body Pediatric Numerical Simulation Model. H. Jeong, G. Ntolkeras, M. Alhilani, SR Atefi, L. Zöllei, K. Fujimoto, A. Pourvaziri, M. H. Lev, P. E. Grant, G. Bonmassar, PLOS ONE, 2021, doi.org/10.1371/journal.pone.0241682
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