Quantification of coronary calcification using high-resolution photon-counting-detector CT and an image domain denoising algorithm

Patrick D. Vanmeter; Jeffery Marsh; Kishore Rajendran; Shuai Leng; Cynthia McCollough

doi:10.1117/12.2612999

Quantification of coronary calcification using high-resolution photon-counting-detector CT and an image domain denoising algorithm

Patrick D. Vanmeter, Jeffery Marsh, Kishore Rajendran, Shuai Leng, Cynthia McCollough

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Coronary artery calcification is an important indicator of coronary disease. Accurate volume quantification of coronary calcification using computed tomography (CT) is challenging due to calcium blooming. In this study, ex-vivo coronary specimens were scanned on an investigational photon-counting detector (PCD) CT scanner and the estimated coronary calcification volume were compared with a conventional energy-integrating detector (EID) CT. An image-based denoising algorithm was applied to the PCD-CT images to achieve similar noise levels as EID-CT. Calcifications were segmented to estimate the volume, with micro-CT images of the same calcifications serving as reference. PCD-CT images showed reduced calcium blooming artifacts.

Original language	English (US)
Title of host publication	Medical Imaging 2022
Subtitle of host publication	Physics of Medical Imaging
Editors	Wei Zhao, Lifeng Yu
Publisher	SPIE
ISBN (Electronic)	9781510649378
DOIs	https://doi.org/10.1117/12.2612999
State	Published - 2022
Event	Medical Imaging 2022: Physics of Medical Imaging - Virtual, Online Duration: Mar 21 2022 → Mar 27 2022

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	12031
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2022: Physics of Medical Imaging
City	Virtual, Online
Period	3/21/22 → 3/27/22

Keywords

Photon counting detector CT
calcium quantification
coronary artery disease
coronary calcifications
image domain denoising

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Biomaterials
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2612999

Cite this

Vanmeter, P. D., Marsh, J., Rajendran, K., Leng, S., & McCollough, C. (2022). Quantification of coronary calcification using high-resolution photon-counting-detector CT and an image domain denoising algorithm. In W. Zhao, & L. Yu (Eds.), Medical Imaging 2022: Physics of Medical Imaging Article 120311R (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12031). SPIE. https://doi.org/10.1117/12.2612999

Quantification of coronary calcification using high-resolution photon-counting-detector CT and an image domain denoising algorithm. / Vanmeter, Patrick D.; Marsh, Jeffery; Rajendran, Kishore et al.
Medical Imaging 2022: Physics of Medical Imaging. ed. / Wei Zhao; Lifeng Yu. SPIE, 2022. 120311R (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12031).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Vanmeter, PD, Marsh, J, Rajendran, K , Leng, S & McCollough, C 2022, Quantification of coronary calcification using high-resolution photon-counting-detector CT and an image domain denoising algorithm. in W Zhao & L Yu (eds), Medical Imaging 2022: Physics of Medical Imaging., 120311R, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12031, SPIE, Medical Imaging 2022: Physics of Medical Imaging, Virtual, Online, 3/21/22. https://doi.org/10.1117/12.2612999

Vanmeter PD, Marsh J, Rajendran K , Leng S , McCollough C. Quantification of coronary calcification using high-resolution photon-counting-detector CT and an image domain denoising algorithm. In Zhao W, Yu L, editors, Medical Imaging 2022: Physics of Medical Imaging. SPIE. 2022. 120311R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2612999

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title = "Quantification of coronary calcification using high-resolution photon-counting-detector CT and an image domain denoising algorithm",

abstract = "Coronary artery calcification is an important indicator of coronary disease. Accurate volume quantification of coronary calcification using computed tomography (CT) is challenging due to calcium blooming. In this study, ex-vivo coronary specimens were scanned on an investigational photon-counting detector (PCD) CT scanner and the estimated coronary calcification volume were compared with a conventional energy-integrating detector (EID) CT. An image-based denoising algorithm was applied to the PCD-CT images to achieve similar noise levels as EID-CT. Calcifications were segmented to estimate the volume, with micro-CT images of the same calcifications serving as reference. PCD-CT images showed reduced calcium blooming artifacts.",

keywords = "Photon counting detector CT, calcium quantification, coronary artery disease, coronary calcifications, image domain denoising",

author = "Vanmeter, {Patrick D.} and Jeffery Marsh and Kishore Rajendran and Shuai Leng and Cynthia McCollough",

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doi = "10.1117/12.2612999",

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series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

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AU - McCollough, Cynthia

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N2 - Coronary artery calcification is an important indicator of coronary disease. Accurate volume quantification of coronary calcification using computed tomography (CT) is challenging due to calcium blooming. In this study, ex-vivo coronary specimens were scanned on an investigational photon-counting detector (PCD) CT scanner and the estimated coronary calcification volume were compared with a conventional energy-integrating detector (EID) CT. An image-based denoising algorithm was applied to the PCD-CT images to achieve similar noise levels as EID-CT. Calcifications were segmented to estimate the volume, with micro-CT images of the same calcifications serving as reference. PCD-CT images showed reduced calcium blooming artifacts.

AB - Coronary artery calcification is an important indicator of coronary disease. Accurate volume quantification of coronary calcification using computed tomography (CT) is challenging due to calcium blooming. In this study, ex-vivo coronary specimens were scanned on an investigational photon-counting detector (PCD) CT scanner and the estimated coronary calcification volume were compared with a conventional energy-integrating detector (EID) CT. An image-based denoising algorithm was applied to the PCD-CT images to achieve similar noise levels as EID-CT. Calcifications were segmented to estimate the volume, with micro-CT images of the same calcifications serving as reference. PCD-CT images showed reduced calcium blooming artifacts.

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Quantification of coronary calcification using high-resolution photon-counting-detector CT and an image domain denoising algorithm

Abstract

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Keywords

ASJC Scopus subject areas

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