ArticleMedical physics2019
Precise measurement of coronary stenosis diameter with CCTA using CT number calibration.
Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Artificial intelligence of stenosis on coronary CTA: real world comparison with quantitative coronary angiography.European heart journal. Imaging methods and practice · 2025Article
- Impact of technical, patient-related and measurement variables on serial Hounsfield unit-based quantitative coronary plaque analysis in computed tomography: time for a new chapter.European heart journal. Imaging methods and practice · 2025Review
- CT coronary fractional flow reserve based on artificial intelligence using different software: a repeatability study.BMC medical imaging · 2024Article
- Using Deep Learning and B-Splines to Model Blood Vessel Lumen from 3D Images.Sensors (Basel, Switzerland) · 2024Article
- Quantitative analysis of small coronary artery calcium detectability with an accurate simulation and validation on a clinical CT scanner.Medical physics · 2023Article
- Detection of left ventricular wall motion abnormalities from volume rendering of 4DCT cardiac angiograms using deep learning.Frontiers in cardiovascular medicine · 2022Article
- Visualization of small visceral arteries on abdominal CT angiography using ultra-high-resolution CT scanner.Japanese journal of radiology · 2021Article
- Task-dependent estimability index to assess the quality of cardiac computed tomography angiography for quantifying coronary stenosis.Journal of medical imaging (Bellingham, Wash.) · 2021Article
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Authors and funding
8 authors at 6 institutions in 1 country.
Funding
Abstract
purposeCoronary x-ray computed tomography angiography (CCTA) continues to develop as a noninvasive method for the assessment of coronary vessel geometry and the identification of physiologically significant lesions. The uncertainty of quantitative lesion diameter measurement due to limited spatial resolution and vessel motion reduces the accuracy of CCTA diagnoses. In this paper, we introduce a new technique called computed tomography (CT)-number-Calibrated Diameter to improve the accuracy of the vessel and stenosis diameter measurements with CCTA.
methodsA calibration phantom containing cylindrical holes (diameters spanning from 0.8 mm through 4.0 mm) capturing the range of diameters found in human coronary vessels was three-dimensional printed. We also printed a human stenosis phantom with 17 tubular channels having the geometry of lesions derived from patient data. We acquired CT scans of the two phantoms with seven different imaging protocols. Calibration curves relating vessel intraluminal maximum voxel value (maximum CT number of a voxel, described in Hounsfield Units, HU) to true diameter, and full-width-at-half maximum (FWHM) to true diameter were constructed for each CCTA protocol. In addition, we acquired scans with a small constant motion (15 mm/s) and used a motion correction reconstruction (Snapshot Freeze) algorithm to correct motion artifacts. We applied our technique to measure the lesion diameter in the 17 lesions in the stenosis phantom and compared the performance of CT-number-Calibrated Diameter to the ground truth diameter and a FWHM estimate.
resultsIn all cases, vessel intraluminal maximum voxel value vs diameter was found to have a simple functional form based on the two-dimensional point spread function yielding a constant maximum voxel value region above a cutoff diameter, and a decreasing maximum voxel value vs decreasing diameter below a cutoff diameter. After normalization, focal spot size and reconstruction kernel were the principal determinants of cutoff diameter and the rate of maximum voxel value reduction vs decreasing diameter. The small constant motion had a significant effect on the CT number calibration; however, the motion-correction algorithm returned the maximum voxel value vs diameter curve to that of stationary vessels. The CT number Calibration technique showed better performance than FWHM estimation of diameter, yielding a high accuracy in the tested range (0.8 mm through 2.5 mm). We found a strong linear correlation between the smallest diameter in each of 17 lesions measured by CT-number-Calibrated Diameter (D
conclusionsComputed tomography-number-Calibrated Diameter is an effective method to enhance the accuracy of the estimate of small vessel diameters and degree of coronary stenosis in CCTA.
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