Ms. Sabine Schmidt Profile

Sabine Schmidt

at Ctr. Hospitalier Univ. Vaudois

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Publications (3)

Proceedings Article | 29 March 2024 Poster + Paper

A foveated channelized Hotelling observer model extended to anatomical liver CT images

Laura Evans, Craig Abbey, Devi Klein, François Bochud, Sabine Schmidt, Damien Racine

Proceedings Volume 12929, 129290Z (2024) https://doi.org/10.1117/12.3005806

KEYWORDS: Liver, Computed tomography, Visual process modeling, Signal detection, Cancer detection, Image quality, Medical image visualization, Medical imaging, Visual information processing, Human vision

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SPIE Journal Paper | 24 July 2020 Open Access

Search of low-contrast liver lesions in abdominal CT: the importance of scrolling behavior

Alexandre Ba, Marwa Shams, Sabine Schmidt, Miguel Eckstein, Francis Verdun, François Bochud

JMI, Vol. 7, Issue 04, 045501, (July 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.4.045501

KEYWORDS: Electromagnetic coupling, Liver, Computed tomography, Scanners, Eye, Visualization, Signal detection, Medical imaging, Lung

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Purpose: Visual search using volumetric images is becoming the standard in medical imaging. However, we do not fully understand how eye movement strategies mediate diagnostic performance. A recent study on computed tomography (CT) images showed that the search strategies of radiologists could be classified based on saccade amplitudes and cross-quadrant eye movements [eye movement index (EMI)] into two categories: drillers and scanners. Approach: We investigate how the number of times a radiologist scrolls in a given direction during analysis of the images (number of courses) could add a supplementary variable to use to characterize search strategies. We used a set of 15 normal liver CT images in which we inserted 1 to 5 hypodense metastases of two different signal contrast amplitudes. Twenty radiologists were asked to search for the metastases while their eye-gaze was recorded by an eye-tracker device (EyeLink1000, SR Research Ltd., Mississauga, Ontario, Canada). Results: We found that categorizing radiologists based on the number of courses (rather than EMI) could better predict differences in decision times, percentage of image covered, and search error rates. Radiologists with a larger number of courses covered more volume in more time, found more metastases, and made fewer search errors than those with a lower number of courses. Our results suggest that the traditional definition of drillers and scanners could be expanded to include scrolling behavior. Drillers could be defined as scrolling back and forth through the image stack, each time exploring a different area on each image (low EMI and high number of courses). Scanners could be defined as scrolling progressively through the stack of images and focusing on different areas within each image slice (high EMI and low number of courses). Conclusions: Together, our results further enhance the understanding of how radiologists investigate three-dimensional volumes and may improve how to teach effective reading strategies to radiology residents.

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SPIE Journal Paper | 20 May 2019

Channelized Hotelling observer correlation with human observers for low-contrast detection in liver CT images

Alexandre Ba, Craig Abbey, Damien Racine, Anaïs Viry, Francis Verdun, Sabine Schmidt, François Bochud

JMI, Vol. 6, Issue 02, 025501, (May 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.025501

KEYWORDS: Computed tomography, Liver, Image quality, Signal detection, Performance modeling, Spatial frequencies, Medical imaging, Barium, Reconstruction algorithms, Data modeling

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