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Estimation of skull table thickness with clinical CT and validation with microCT
- Source :
- Journal of anatomy. 226(1)
- Publication Year :
- 2014
-
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.
- Subjects :
- Male
medicine.medical_specialty
Histology
Traumatic brain injury
Population
Computed tomography
Cadaver
medicine
Humans
education
Molecular Biology
Ecology, Evolution, Behavior and Systematics
education.field_of_study
medicine.diagnostic_test
business.industry
Head injury
Skull
Cell Biology
X-Ray Microtomography
Original Articles
medicine.disease
medicine.anatomical_structure
Mechanism of injury
Brain Injuries
Radiology
Anatomy
Nuclear medicine
business
Tomography, X-Ray Computed
Geology
Algorithms
Developmental Biology
Motor vehicle crash
Subjects
Details
- ISSN :
- 14697580
- Volume :
- 226
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of anatomy
- Accession number :
- edsair.doi.dedup.....4ac5c87fdef56038191f0e0c58d2d2a9