Image processing to improve detection of mesial temporal sclerosis in adults

F. Dahi, M. S. Parsons, H. L.P. Orlowski, A. Salter, S. Dahiya, A. Sharma

Research output: Contribution to journalArticlepeer-review

Abstract

SUMMARY: In this retrospective case-control study, we investigated whether an image-processing algorithm designed to exaggerate the intensity of diseased hippocampi on FLAIR images can improve the diagnostic accuracy and interobserver reliability of radiologists in detecting mesial temporal sclerosis-related hippocampal signal alteration. Herein, we share the results of this study that showed that the image processing improved the confidence of radiologists in detecting mesial temporal sclerosis-related signal alteration, allowing an improved sensitivity, specificity, and interobserver reliability.

Original languageEnglish (US)
Pages (from-to)798-801
Number of pages4
JournalAmerican Journal of Neuroradiology
Volume40
Issue number5
DOIs
StatePublished - 2019
Externally publishedYes

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

Fingerprint

Dive into the research topics of 'Image processing to improve detection of mesial temporal sclerosis in adults'. Together they form a unique fingerprint.

Cite this