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

doi:10.3174/ajnr.A6022

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

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4 Scopus citations

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 language	English
Pages (from-to)	798-801
Number of pages	4
Journal	American Journal of Neuroradiology
Volume	40
Issue number	5
DOIs	https://doi.org/10.3174/ajnr.A6022
State	Published - 2019

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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.",

author = "F. Dahi and Parsons, {M. S.} and Orlowski, {H. L.P.} and A. Salter and S. Dahiya and A. Sharma",

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AU - Dahi, F.

AU - Parsons, M. S.

AU - Orlowski, H. L.P.

AU - Salter, A.

AU - Dahiya, S.

AU - Sharma, A.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

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EP - 801

JO - American Journal of Neuroradiology

JF - American Journal of Neuroradiology

IS - 5

ER -

Image processing to improve detection of mesial temporal sclerosis in adults

Abstract

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