Our ultimate goal is to predict adverse cardiovascular events from CT calcium score exams using radiomics. Unlike the traditional whole heart Agatston score, our approach analyzes individual calcifications, creating a challenge for accurate/reproducible assessments. Optional preprocessing consisted of 3D blind deconvolution optimized on masked sharp structures, giving PSFs similar to measured ones, followed by noise reduction. In our experiment, we found that blind deconvolution improves the accuracy and reproducibility of CT calcium score evaluation. It is beneficial to use this to predict adverse cardiovascular event since it provides a robust and accurate evaluation of clinically relevant and pre-clinical calcifications. We conclude that for archived images where PSFs are unavailable, 3D blind deconvolution is a useful preprocessing step for improved radiomics assessments of CT-calcium-score images.
Liver stiffness is an essential clinical biomarker for diagnosing liver fibrosis and cirrhosis. In current clinical practice, elastography techniques are standard non-invasive diagnosis tools to assess stiffness of liver, using either Ultrasound (US) or magnetic resonance imaging (MRI). However, the US elastography yields ≈ 10 % failure rate and degraded performance on obese patients, while the MR elastography is costlier and less available. Compared with US and MRI, the computerized tomography (CT) imaging has not been widely used in measuring liver stiffness. In this paper, we performed a pilot study to assess if volumetric variations of liver can be captured from paired inspiratory-expiratory chest (PIEC) CT scans. To enable the assessment, we propose a Hierarchical Intra- Patient Organ-specific (HIPO) registration pipeline to quantify the partial liver volumetric variations with lung pressure from a respiratory cycle. The PIEC protocol is employed since it naturally provides two paired CT scans with liver deformation from regulated respiratory motions. For the subjects whose registration results passed both an automatic quantitative quality assurance (QA) and another visual qualitative QA, 6:0% average volumetric variations of liver were measured, from inspiratory phase to expiratory phase. Future clinical validations will be required to validate the findings in this pilot study.
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