Estimating the minimum SNR necessary for object detection in the projection domain

Scott S. Hsieh; Lifeng Yu; Nathan R Huber; Shuai Leng; Cynthia H. McCollough

doi:10.1117/12.2611564

4 April 2022 Estimating the minimum SNR necessary for object detection in the projection domain

Scott S. Hsieh, Lifeng Yu, Nathan R Huber, Shuai Leng, Cynthia H. McCollough

Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging; 120310T (2022) https://doi.org/10.1117/12.2611564
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

We estimate the minimum SNR necessary for object detection in the projection domain. We assume there is a set of objects O and we study an ideal observer that sequentially compares each member of O to the null hypothesis. This reduces to one-dimensional signal detection between two Gaussians. We find that for a search task of a circular 6 mm lesion in a region of interest 60 mm by 60 mm by 10 slices, and for a required sensitivity of 80% and specificity of 80%, the minimum required projection SNR is 5.1, a finding reminiscent of the Rose criterion.

Conference Presentation

Citation Download Citation

Scott S. Hsieh, Lifeng Yu, Nathan R Huber, Shuai Leng, and Cynthia H. McCollough "Estimating the minimum SNR necessary for object detection in the projection domain", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120310T (4 April 2022); https://doi.org/10.1117/12.2611564

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