Creating normograms of dural sinuses in healthy persons using computer-assisted detection for analysis and comparison of cross-section dural sinuses in the brain

Reut Anconina, Dinah Zur, Anat Kesler, Svetlana Lublinsky, Ronen Toledano, Victor Novack, Elya Benkobich, Rosa Novoa, Evelyne Farkash Novic, Ilan Shelef

Research output: Contribution to journalArticlepeer-review

Abstract

Dural sinuses vary in size and shape in many pathological conditions with abnormal intracranial pressure. Size and shape normograms of dural brain sinuses are not available. The creation of such normograms may enable computer-assisted comparison to pathologic exams and facilitate diagnoses. The purpose of this study was to quantitatively evaluate normal magnetic resonance venography (MRV) studies in order to create normograms of dural sinuses using a computerized algorithm for vessel cross-sectional analysis. This was a retrospective analysis of MRV studies of 30 healthy persons. Data were analyzed using a specially developed Matlab algorithm for vessel cross-sectional analysis. The cross-sectional area and shape measurements were evaluated to create normograms. Mean cross-sectional size was 53.27 ± 13.31 for the right transverse sinus (TS), 46.87 + 12.57 for the left TS (p = 0.089) and 36.65 + 12.38 for the superior sagittal sinus. Normograms were created. The distribution of cross-sectional areas along the vessels showed distinct patterns and a parallel course for the median, 25th, 50th and 75th percentiles. In conclusion, using a novel computerized method for vessel cross-sectional analysis we were able to quantitatively characterize dural sinuses of healthy persons and create normograms.

Original languageEnglish
Pages (from-to)190-194
Number of pages5
JournalJournal of Clinical Neuroscience
Volume40
DOIs
StatePublished - Jun 2017

Keywords

  • Computer-assisted image processing
  • Intracranial pressure
  • Magnetic resonance imaging
  • Neuroimaging

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