ArticleProceedings of SPIE--the International Society for Optical Engineering2023
A dense search challenge phantom fabricated with pixel-based 3D printing for precise detectability assessment.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- 3D printed phantom with 12 000 submillimeter lesions to improve efficiency in CT detectability assessment.Medical physics · 2024Article
- Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging.Scientific reports · 2023Article
- Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging.Research square · 2023Article
- Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging.medRxiv : the preprint server for health sciences · 2023Article
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11 authors.
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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.
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