Literature DB >> 25441171

Estimation of skull table thickness with clinical CT and validation with microCT.

Elizabeth M Lillie1, Jillian E Urban, Ashley A Weaver, Alexander K Powers, Joel D Stitzel.   

Abstract

Brain injuries resulting from motor vehicle crashes (MVC) are extremely common yet the details of the mechanism of injury remain to be well characterized. Skull deformation is believed to be a contributing factor to some types of traumatic brain injury (TBI). Understanding biomechanical contributors to skull deformation would provide further insight into the mechanism of head injury resulting from blunt trauma. In particular, skull thickness is thought be a very important factor governing deformation of the skull and its propensity for fracture. Current computed tomography (CT) technology is limited in its ability to accurately measure cortical thickness using standard techniques. A method to evaluate cortical thickness using cortical density measured from CT data has been developed previously. This effort validates this technique for measurement of skull table thickness in clinical head CT scans using two postmortem human specimens. Bone samples were harvested from the skulls of two cadavers and scanned with microCT to evaluate the accuracy of the estimated cortical thickness measured from clinical CT. Clinical scans were collected at 0.488 and 0.625 mm in plane resolution with 0.625 mm thickness. The overall cortical thickness error was determined to be 0.078 ± 0.58 mm for cortical samples thinner than 4 mm. It was determined that 91.3% of these differences fell within the scanner resolution. Color maps of clinical CT thickness estimations are comparable to color maps of microCT thickness measurements, indicating good quantitative agreement. These data confirm that the cortical density algorithm successfully estimates skull table thickness from clinical CT scans. The application of this technique to clinical CT scans enables evaluation of cortical thickness in population-based studies.
© 2014 Anatomical Society.

Entities:  

Keywords:  computed tomography; cortex; skull; thickness

Mesh:

Year:  2014        PMID: 25441171      PMCID: PMC4313900          DOI: 10.1111/joa.12259

Source DB:  PubMed          Journal:  J Anat        ISSN: 0021-8782            Impact factor:   2.610


  21 in total

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Journal:  J Biomech       Date:  1971-12       Impact factor: 2.712

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Authors:  G M Treece; K E S Poole; A H Gee
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Journal:  Sensors (Basel)       Date:  2019-12-12       Impact factor: 3.576

7.  Topographical mapping of the mechanical characteristics of the human neurocranium considering the role of individual layers.

Authors:  Johann Zwirner; Sarah Safavi; Mario Scholze; Kai Chun Li; John Neil Waddell; Björn Busse; Benjamin Ondruschka; Niels Hammer
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8.  Two-layer analytical model for estimation of layer thickness and flow using Diffuse Correlation Spectroscopy.

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9.  Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization.

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  9 in total

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