Task-driven optimization of an experimental photon counting detector CT system for intracranial hemorrhage detection

Xu Ji; Ran Zhang; Guang-Hong Chen; Ke Li

doi:10.1117/12.2293942

9 March 2018 Task-driven optimization of an experimental photon counting detector CT system for intracranial hemorrhage detection

Xu Ji, Ran Zhang, Guang-Hong Chen, Ke Li

Author Affiliations +

Proceedings Volume 10573, Medical Imaging 2018: Physics of Medical Imaging; 105731P (2018) https://doi.org/10.1117/12.2293942
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

In this work, the potential application of photon counting detector CT (PCD-CT) in intracranial hemorrhage (ICH) imaging was investigated. An experimental PCD-CT imaging system was constructed and optimized for the detection of low contrast intraparenchymal bleeding. The system uses a CdTe-based PCD that provides 51 cm axial coverage and excellent DQE performance. A customized anthropomorphic head phantom with a built-in ICH model was used to evaluate the performance of the PCD-CT system for the ICH detection task. The nominal contrast between the ICH model and brain parenchyma is 10 HU. The phantom was also scanned by a commercial multi-detector CT (MDCT) system to obtain gold standard images. For the sake of fair comparison, radiation dose level, tube potential, slice thickness, reconstruction pixel size were matched between the two CT systems. The nonprewhitening observer detectability index d' was used as the figure-of-merit for optimizing the detector binning mode and reconstruction kernel for the PCD-CT system. Compared with the gold-standard MDCT images, the optimized PCD-CT images demonstrated higher d0 value for the detection of the ICH model in the head phantom.

Citation Download Citation

Xu Ji, Ran Zhang, Guang-Hong Chen, and Ke Li "Task-driven optimization of an experimental photon counting detector CT system for intracranial hemorrhage detection", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105731P (9 March 2018); https://doi.org/10.1117/12.2293942

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