Literature DB >> 33439896

Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model.

Hongbae Jeong1,2, Georgios Ntolkeras1,3, Michel Alhilani3,4, Seyed Reza Atefi1,2, Lilla Zöllei1,2, Kyoko Fujimoto5, Ali Pourvaziri2, Michael H Lev2, P Ellen Grant3, Giorgio Bonmassar1,2.   

Abstract

Numerical body models of children are used for designing medical devices, including but not limited to optical imaging, ultrasound, CT, EEG/MEG, and MRI. These models are used in many clinical and neuroscience research applications, such as radiation safety dosimetric studies and source localization. Although several such adult models have been reported, there are few reports of full-body pediatric models, and those described have several limitations. Some, for example, are either morphed from older children or do not have detailed segmentations. Here, we introduce a 29-month-old male whole-body native numerical model, "MARTIN", that includes 28 head and 86 body tissue compartments, segmented directly from the high spatial resolution MRI and CT images. An advanced auto-segmentation tool was used for the deep-brain structures, whereas 3D Slicer was used to segment the non-brain structures and to refine the segmentation for all of the tissue compartments. Our MARTIN model was developed and validated using three separate approaches, through an iterative process, as follows. First, the calculated volumes, weights, and dimensions of selected structures were adjusted and confirmed to be within 6% of the literature values for the 2-3-year-old age-range. Second, all structural segmentations were adjusted and confirmed by two experienced, sub-specialty certified neuro-radiologists, also through an interactive process. Third, an additional validation was performed with a Bloch simulator to create synthetic MR image from our MARTIN model and compare the image contrast of the resulting synthetic image with that of the original MRI data; this resulted in a "structural resemblance" index of 0.97. Finally, we used our model to perform pilot MRI safety simulations of an Active Implantable Medical Device (AIMD) using a commercially available software platform (Sim4Life), incorporating the latest International Standards Organization guidelines. This model will be made available on the Athinoula A. Martinos Center for Biomedical Imaging website.

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Year:  2021        PMID: 33439896      PMCID: PMC7806143          DOI: 10.1371/journal.pone.0241682

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  87 in total

1.  Calculations of B(1) distribution, SNR, and SAR for a surface coil adjacent to an anatomically-accurate human body model.

Authors:  C M Collins; M B Smith
Journal:  Magn Reson Med       Date:  2001-04       Impact factor: 4.668

2.  Automatic segmentation of MR images of the developing newborn brain.

Authors:  Marcel Prastawa; John H Gilmore; Weili Lin; Guido Gerig
Journal:  Med Image Anal       Date:  2005-10       Impact factor: 8.545

3.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

Authors:  Rahul S Desikan; Florent Ségonne; Bruce Fischl; Brian T Quinn; Bradford C Dickerson; Deborah Blacker; Randy L Buckner; Anders M Dale; R Paul Maguire; Bradley T Hyman; Marilyn S Albert; Ronald J Killiany
Journal:  Neuroimage       Date:  2006-03-10       Impact factor: 6.556

4.  elastix: a toolbox for intensity-based medical image registration.

Authors:  Stefan Klein; Marius Staring; Keelin Murphy; Max A Viergever; Josien P W Pluim
Journal:  IEEE Trans Med Imaging       Date:  2009-11-17       Impact factor: 10.048

5.  Probabilistic analysis of the specific absorption rate intersubject variability safety factor in parallel transmission MRI.

Authors:  Morgane Le Garrec; Vincent Gras; Marie-France Hang; Guillaume Ferrand; Michel Luong; Nicolas Boulant
Journal:  Magn Reson Med       Date:  2016-09-26       Impact factor: 4.668

6.  Standards for limb bone length ratios in children.

Authors:  M Robinow; W C Chumlea
Journal:  Radiology       Date:  1982-05       Impact factor: 11.105

7.  Ultrasound Elicits Behavioral Responses through Mechanical Effects on Neurons and Ion Channels in a Simple Nervous System.

Authors:  Jan Kubanek; Poojan Shukla; Alakananda Das; Stephen A Baccus; Miriam B Goodman
Journal:  J Neurosci       Date:  2018-02-20       Impact factor: 6.167

8.  Analysis of RF exposure in the head tissues of children and adults.

Authors:  J Wiart; A Hadjem; M F Wong; I Bloch
Journal:  Phys Med Biol       Date:  2008-06-19       Impact factor: 3.609

9.  Normal liver, spleen, and kidney dimensions in neonates, infants, and children: evaluation with sonography.

Authors:  O L Konuş; A Ozdemir; A Akkaya; G Erbaş; H Celik; S Işik
Journal:  AJR Am J Roentgenol       Date:  1998-12       Impact factor: 3.959

10.  Vagus nerve stimulation therapy system: in vitro evaluation of magnetic resonance imaging-related heating and function at 1.5 and 3 tesla.

Authors:  Frank G Shellock; Jason Begnaud; D Michael Inman
Journal:  Neuromodulation       Date:  2006-07
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  1 in total

1.  Numerical simulation of the radiofrequency safety of 128-channel hd-EEG nets on a 29-month-old whole-body model in a 3 Tesla MRI.

Authors:  Hongbae Jeong; Georgios Ntolkeras; P Ellen Grant; Giorgio Bonmassar
Journal:  IEEE Trans Electromagn Compat       Date:  2021-08-16       Impact factor: 2.036

  1 in total

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