Multislice anthropomorphic model observer for detectability evaluation on breast cone beam CT images

Minah Han; Jongduk Baek

doi:10.1117/12.2534003

28 May 2019 Multislice anthropomorphic model observer for detectability evaluation on breast cone beam CT images

Minah Han, Jongduk Baek

Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110721P (2019) https://doi.org/10.1117/12.2534003
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States

Abstract

We predict human observer performance for lesion detection on breast cone beam computed tomography (CBCT) images using single-slice and multislice model observers with a constant internal noise level. We evaluate human observer performance on single-slice and multislice simulated breast CBCT images with 1 mm signal, and predict the performance using model observers. We use a channelized Hotelling observer (CHO) and nonprewhitening observer with eye-filter (NPWE). We employ dense difference-of-Gaussian (D-DOG) channels for CHO, and eyefilter with peak value at 7 cyc/deg for NPWE. We include channel internal noise for CHO and decision variable internal noise for NPWE. For single-slice images, D-DOG CHO and NPWE predict human observer performance well. For multislice images, D-DOG CHO overestimates human observer performance, while NPWE predict human observer performance successfully.

Citation Download Citation

Minah Han and Jongduk Baek "Multislice anthropomorphic model observer for detectability evaluation on breast cone beam CT images", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110721P (28 May 2019); https://doi.org/10.1117/12.2534003

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