OBJECTIVES: Computed tomography (CT) imaging of small high-density structures, eg, calcifications, is hampered by image blur. This study aims to deconvolve calcifications in the transverse and longitudinal directions while avoiding noise amplification and edge-ringing artifacts in the surrounding low-density structures. MATERIALS AND METHODS: A method referred to as histogram-based selective deblurring (HiSD) has been developed to generate a restored image by combining the low-intensity (ie, Hounsfield Units) information of the original image with the high-intensity information of the deconvolved image. HiSD is evaluated on phantom and in vitro atherosclerotic plaque CT images by comparing the original and restored images with their corresponding reference micro-CT images both qualitatively and quantitatively. RESULTS: HiSD reduces calcification blur in the transverse and longitudinal directions without introducing noise and ringing-artifacts in the surrounding tissues. Calcification area and volume measurements are significantly improved in the restored images (reducing on average overestimation by 32% and 83%, respectively). CONCLUSIONS: HiSD significantly improves CT visualization and quantification of small high-density structures imaged in vitro.

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doi.org/10.1097/01.rli.0000248894.94242.96, hdl.handle.net/1765/15442
Investigative Radiology: a journal of clinical and laboratory research
Erasmus MC: University Medical Center Rotterdam

Rollano Hijarrubia, M.E, Niessen, W.J, Weinans, H.H, van der Lugt, A, & Stokking, R. (2007). Histogram-based selective deblurring to improve computed tomography imaging of calcifications. Investigative Radiology: a journal of clinical and laboratory research, 42(1), 8–22. doi:10.1097/01.rli.0000248894.94242.96