Validated novel software to measure the conspicuity index of lesions in DICOM images | Zendy

Katy Szczepura | Zendy; David Manning | Zendy

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Validated novel software to measure the conspicuity index of lesions in DICOM images

Author(s) -

Katy Szczepura,

David Manning

Publication year - 2016

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.2216211

Subject(s) - dicom , measure (data warehouse) , software , lesion , computer science , artificial intelligence , computer vision , abnormality , enhanced data rates for gsm evolution , computer graphics (images) , medicine , data mining , pathology , programming language , psychiatry

A novel software programme and associated Excel spreadsheet has been developed to provide an objective measure of the expected visual detectability of focal abnormalities within DICOM images. ROIs are drawn around the abnormality, the software then fits the lesion using a least squares method to recognize the edges of the lesion based on the full width half maximum. 180 line profiles are then plotted around the lesion, giving 360 edge profiles.

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