Paper
4 April 2016 Quantification of signal detection performance degradation induced by phase-retrieval in propagation-based x-ray phase-contrast imaging
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Abstract
In propagation-based X-ray phase-contrast (PB XPC) imaging, the measured image contains a mixture of absorption- and phase-contrast. To obtain separate images of the projected absorption and phase (i.e., refractive) properties of a sample, phase retrieval methods can be employed. It has been suggested that phase-retrieval can always improve image quality in PB XPC imaging. However, when objective (task-based) measures of image quality are employed, this is not necessarily true and phase retrieval can be detrimental. In this work, signal detection theory is utilized to quantify the performance of a Hotelling observer (HO) for detecting a known signal in a known background. Two cases are considered. In the first case, the HO acts directly on the measured intensity data. In the second case, the HO acts on either the retrieved phase or absorption image. We demonstrate that the performance of the HO is superior when acting on the measured intensity data. The loss of task-specific information induced by phase-retrieval is quantified by computing the efficiency of the HO as the ratio of the test statistic signal-to-noise ratio (SNR) for the two cases. The effect of the system geometry on this efficiency is systematically investigated. Our findings confirm that phase-retrieval can impair signal detection performance in XPC imaging.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cheng-Ying Chou and Mark A. Anastasio "Quantification of signal detection performance degradation induced by phase-retrieval in propagation-based x-ray phase-contrast imaging", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97835J (4 April 2016); https://doi.org/10.1117/12.2217338
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KEYWORDS
Signal detection

Sensors

Absorption

Phase retrieval

Signal to noise ratio

X-ray imaging

Image quality

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