A dense search challenge phantom fabricated with pixel-based 3D printing for precise detectability assessment

Scott S. Hsieh; Kai Mei; Nadav Shapira; Picha Shunhavanich; J. Webster Stayman; Cynthia H. McCollough; Grace Gang; Shuai Leng; Michael Geagen; Lifeng Yu; Peter B. Noël

doi:10.1117/12.2654336

7 April 2023 A dense search challenge phantom fabricated with pixel-based 3D printing for precise detectability assessment

Scott S. Hsieh, Kai Mei, Nadav Shapira, Picha Shunhavanich, J. Webster Stayman, Cynthia H. McCollough, Grace Gang, Shuai Leng, Michael Geagen, Lifeng Yu, Peter B. Noël

Author Affiliations +

Proceedings Volume 12463, Medical Imaging 2023: Physics of Medical Imaging; 124631D (2023) https://doi.org/10.1117/12.2654336
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

The performance of a CT scanner for detectability tasks is difficult to precisely measure. Metrics such as contrast-to-noise ratio, modulation transfer function, and noise power spectrum do not predict detectability in the context of nonlinear reconstruction. We propose to measure detectability using a dense search challenge: a phantom is embedded with hundreds of target objects at random locations, and a human or numerical observer analyzes the reconstruction and reports on suspected locations of all target objects. The reported locations are compared to ground truth to produce a figure of merit, such as area under the curve (AUC), that is sensitive to the acquisition dose and the dose efficiency of the CT scanner. We used simulations to design such a dense search challenge phantom and found that detectability could be measured with precision better than 5%. Test 3D prints using the PixelPrint technique showed the feasibility of this technique.

Conference Presentation

Citation Download Citation

Scott S. Hsieh, Kai Mei, Nadav Shapira, Picha Shunhavanich, J. Webster Stayman, Cynthia H. McCollough, Grace Gang, Shuai Leng, Michael Geagen, Lifeng Yu, and Peter B. Noël "A dense search challenge phantom fabricated with pixel-based 3D printing for precise detectability assessment", Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 124631D (7 April 2023); https://doi.org/10.1117/12.2654336

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