Presentation + Paper
4 April 2022 Assessment of manual and automated intracranial artery diameter measurements
I. N. Vos, M. E. H. Ophelders, Y. M. Ruigrok, B. K. Velthuis M.D., H. J. Kuijf
Author Affiliations +
Abstract
Automated quantification of intracranial artery morphology facilitates the identification of risk predictors for aneurysm development, as well as the detection of aneurysms. One established risk factor is the diameter of intracranial arteries which are arranged in a circulatory anastomosis, called the Circle of Willis (CoW). In this work, we assessed the performance of manual and automated measurement of intracranial artery diameters. Au- tomated measurements were obtained using a full-width-at-half-maximum (FWHM) approach. We investigated intra-and inter-rater variability, and compared manual to automatically obtained diameter measurements. The displacement error of manual measurement was assessed as another source of intra-rater variation. We used Bland–Altman plots and intra-class correlation coefficient (ICC) for analysis. Overall, the assessment revealed acceptable variation in intra- and inter-rater variability with no proportional bias. The median displacement error for repeated manual measurements (intra-rater) was 0.55 mm (IQR 0.24 – 1.06 mm). Good agreement was found between manual and automated measurements, with an ICC value of 0.76 (p<0.05, Pearson). These findings have implications for future assessment of intracranial artery diameters.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. N. Vos, M. E. H. Ophelders, Y. M. Ruigrok, B. K. Velthuis M.D., and H. J. Kuijf "Assessment of manual and automated intracranial artery diameter measurements", Proc. SPIE 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, 1203504 (4 April 2022); https://doi.org/10.1117/12.2611777
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KEYWORDS
Arteries

Aneurysms

Visualization

Error analysis

Image segmentation

Magnetic resonance angiography

Statistical analysis

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