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Abstract #4064

ACCURACY AND REPRODUCIBILITY OF AN AUTOMATED LESION SEGMENTATION TOOL-LESIONQUANT

Weidong Luo1, Kelly Leyden1, Aziz M Ulug1,2, Sebastian Magda1, Julia Albright1, Robert Haxton1, and Chris Airriess1

1CorTechs Labs, San Diego, CA, United States, 2Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey

Quantitative measures such as lesion volume and distribution have significant value for clinicians evaluating disease progression. Clinical standards for lesion evaluation include visual inspection of MRI images, or expert manual segmentation of lesions. These subjective measurements are often vulnerable to inter- and intra-rater variability, resulting in low reproducibility. CorTechs Labs’ LesionQuant is a fully-automated lesion segmentation tool for clinical use designed to provide accurate and reproducible lesion segmentations. This study objectively evaluates the segmentation results of LesionQuant compared to expert manual segmentation.

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