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Published on: September 8, 2023
Standardization of mineral density maps of physiologic and pathologic biominerals in humans using cone-beam CT and
Sudarshan Srirangapatanam1, Misun Kang2, Yianni Ellenikiotis3
1Department of Urology, School of Medicine, University of California, San Francisco, CA, USA; College of Medicine, University of Central Florida, FL, USA.
Objectives:
The lack of standardized X-ray imaging remains a challenge for comparative studies on spatial scans acquired from different clinic-specific X-ray scanners. The central objectives of this study are: 1) to delineate mineral density (MD) values, and 2) generate spatial MD maps of various physiologic and pathologic biominerals, and 3) propose a standardization protocol within the safe-operating zone of a CT scanner that underpins normalization of absorbed dose to shape and density of tissues.
Methods:
A systematic approach to propose a standardization protocol for CT imaging in vivo included: 1) estimation of pathologic MD ranges by performing a comparative meta-analysis on 2009-2019 data from the PubMed database; 2) calibration of cone-beam CT (CBCT) and micro-CT scanners with phantoms of known mineral densities (0, 250, 500, 750 and 3000 mg/cc) and shapes (cylinders and polyhedrons); 3) scanning craniofacial bones (N = 5) and dental tissues (N = 5), and ectopic minerals from humans (N = 3 each, pulp, salivary gland, kidney and prostrate stones, and penile and vascular plaques); 4) underscoring the effect of shape-factor (surface area-to-volume ratio) on MD of biominerals.
Results:
Higher MDs of physiologic and pathologic cortical bones (504-1009 mg/cc) compared to trabecular bone (82-212 mg/cc) were observed. An increase in shape-factor increased the CBCT error in MD measurement and revealed that the scanner resolution is dependent on the absorbed dose and shape-factor of detectable features.
Significance:
CT scanners should be calibrated with phantoms containing segments of known shape-factors and mineral densities to identify safe-operating zones. The calibrated approach will narrow the gap between length-scale dependent measurements, and will permit spatiotemporal quantitative and reliable detection of pathologies.
