Renal stone characterization using high resolution imaging mode on a photon counting detector CT system

A. Ferrero; R. Gutjahr; A. Henning; S. Kappler; A. Halaweish; D. Abdurakhimova; Z. Peterson; J. Montoya; S. Leng; C. McCollough

doi:10.1117/12.2255651

Renal stone characterization using high resolution imaging mode on a photon counting detector CT system

A. Ferrero, R. Gutjahr, A. Henning, S. Kappler, A. Halaweish, D. Abdurakhimova, Z. Peterson, J. Montoya, S. Leng, C. McCollough

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

3 Scopus citations

Abstract

In addition to the standard-resolution (SR) acquisition mode, a high-resolution (HR) mode is available on a research photon-counting-detector (PCD) whole-body CT system. In the HR mode each detector consists of a 2x2 array of 0.225 mm x 0.225 mm subpixel elements. This is in contrast to the SR mode that consists of a 4x4 array of the same subelements, and results in 0.25 mm isotropic resolution at iso-center for the HR mode. In this study, we quantified ex vivo the capabilities of the HR mode to characterize renal stones in terms of morphology and mineral composition. Forty pure stones - 10 uric acid (UA), 10 cystine (CYS), 10 calcium oxalate monohydrate (COM) and 10 apatite (APA) - and 14 mixed stones were placed in a 20 cm water phantom and scanned in HR mode, at radiation dose matched to that of routine dual-energy stone exams. Data from micro CT provided a reference for the quantification of morphology and mineral composition of the mixed stones. The area under the ROC curve was 1.0 for discriminating UA from CYS, 0.89 for CYS vs COM and 0.84 for COM vs APA. The root mean square error (RMSE) of the percent UA in mixed stones was 11.0% with a medium-sharp kernel and 15.6% with the sharpest kernel. The HR showed qualitatively accurate characterization of stone morphology relative to micro CT.

Original language	English (US)
Title of host publication	Medical Imaging 2017
Subtitle of host publication	Physics of Medical Imaging
Editors	Taly Gilat Schmidt, Joseph Y. Lo, Thomas G. Flohr
Publisher	SPIE
ISBN (Electronic)	9781510607095
DOIs	https://doi.org/10.1117/12.2255651
State	Published - 2017
Event	Medical Imaging 2017: Physics of Medical Imaging - Orlando, United States Duration: Feb 13 2017 → Feb 16 2017

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10132
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2017: Physics of Medical Imaging
Country/Territory	United States
City	Orlando
Period	2/13/17 → 2/16/17

Keywords

Computed tomography (CT)
High resolution CT
Photon-counting detector CT (PCD-CT)

ASJC Scopus subject areas

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

Access to Document

10.1117/12.2255651

Cite this

Ferrero, A., Gutjahr, R., Henning, A., Kappler, S., Halaweish, A., Abdurakhimova, D., Peterson, Z., Montoya, J., Leng, S., & McCollough, C. (2017). Renal stone characterization using high resolution imaging mode on a photon counting detector CT system. In T. G. Schmidt, J. Y. Lo, & T. G. Flohr (Eds.), Medical Imaging 2017: Physics of Medical Imaging Article 101323J (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10132). SPIE. https://doi.org/10.1117/12.2255651

Renal stone characterization using high resolution imaging mode on a photon counting detector CT system. / Ferrero, A.; Gutjahr, R.; Henning, A. et al.
Medical Imaging 2017: Physics of Medical Imaging. ed. / Taly Gilat Schmidt; Joseph Y. Lo; Thomas G. Flohr. SPIE, 2017. 101323J (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10132).

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

Ferrero, A, Gutjahr, R, Henning, A, Kappler, S, Halaweish, A, Abdurakhimova, D, Peterson, Z, Montoya, J, Leng, S & McCollough, C 2017, Renal stone characterization using high resolution imaging mode on a photon counting detector CT system. in TG Schmidt, JY Lo & TG Flohr (eds), Medical Imaging 2017: Physics of Medical Imaging., 101323J, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10132, SPIE, Medical Imaging 2017: Physics of Medical Imaging, Orlando, United States, 2/13/17. https://doi.org/10.1117/12.2255651

Ferrero A, Gutjahr R, Henning A, Kappler S, Halaweish A, Abdurakhimova D et al. Renal stone characterization using high resolution imaging mode on a photon counting detector CT system. In Schmidt TG, Lo JY, Flohr TG, editors, Medical Imaging 2017: Physics of Medical Imaging. SPIE. 2017. 101323J. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2255651

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title = "Renal stone characterization using high resolution imaging mode on a photon counting detector CT system",

abstract = "In addition to the standard-resolution (SR) acquisition mode, a high-resolution (HR) mode is available on a research photon-counting-detector (PCD) whole-body CT system. In the HR mode each detector consists of a 2x2 array of 0.225 mm x 0.225 mm subpixel elements. This is in contrast to the SR mode that consists of a 4x4 array of the same subelements, and results in 0.25 mm isotropic resolution at iso-center for the HR mode. In this study, we quantified ex vivo the capabilities of the HR mode to characterize renal stones in terms of morphology and mineral composition. Forty pure stones - 10 uric acid (UA), 10 cystine (CYS), 10 calcium oxalate monohydrate (COM) and 10 apatite (APA) - and 14 mixed stones were placed in a 20 cm water phantom and scanned in HR mode, at radiation dose matched to that of routine dual-energy stone exams. Data from micro CT provided a reference for the quantification of morphology and mineral composition of the mixed stones. The area under the ROC curve was 1.0 for discriminating UA from CYS, 0.89 for CYS vs COM and 0.84 for COM vs APA. The root mean square error (RMSE) of the percent UA in mixed stones was 11.0% with a medium-sharp kernel and 15.6% with the sharpest kernel. The HR showed qualitatively accurate characterization of stone morphology relative to micro CT.",

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AU - Gutjahr, R.

AU - Henning, A.

AU - Kappler, S.

AU - Halaweish, A.

AU - Abdurakhimova, D.

AU - Peterson, Z.

AU - Montoya, J.

AU - Leng, S.

AU - McCollough, C.

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N2 - In addition to the standard-resolution (SR) acquisition mode, a high-resolution (HR) mode is available on a research photon-counting-detector (PCD) whole-body CT system. In the HR mode each detector consists of a 2x2 array of 0.225 mm x 0.225 mm subpixel elements. This is in contrast to the SR mode that consists of a 4x4 array of the same subelements, and results in 0.25 mm isotropic resolution at iso-center for the HR mode. In this study, we quantified ex vivo the capabilities of the HR mode to characterize renal stones in terms of morphology and mineral composition. Forty pure stones - 10 uric acid (UA), 10 cystine (CYS), 10 calcium oxalate monohydrate (COM) and 10 apatite (APA) - and 14 mixed stones were placed in a 20 cm water phantom and scanned in HR mode, at radiation dose matched to that of routine dual-energy stone exams. Data from micro CT provided a reference for the quantification of morphology and mineral composition of the mixed stones. The area under the ROC curve was 1.0 for discriminating UA from CYS, 0.89 for CYS vs COM and 0.84 for COM vs APA. The root mean square error (RMSE) of the percent UA in mixed stones was 11.0% with a medium-sharp kernel and 15.6% with the sharpest kernel. The HR showed qualitatively accurate characterization of stone morphology relative to micro CT.

AB - In addition to the standard-resolution (SR) acquisition mode, a high-resolution (HR) mode is available on a research photon-counting-detector (PCD) whole-body CT system. In the HR mode each detector consists of a 2x2 array of 0.225 mm x 0.225 mm subpixel elements. This is in contrast to the SR mode that consists of a 4x4 array of the same subelements, and results in 0.25 mm isotropic resolution at iso-center for the HR mode. In this study, we quantified ex vivo the capabilities of the HR mode to characterize renal stones in terms of morphology and mineral composition. Forty pure stones - 10 uric acid (UA), 10 cystine (CYS), 10 calcium oxalate monohydrate (COM) and 10 apatite (APA) - and 14 mixed stones were placed in a 20 cm water phantom and scanned in HR mode, at radiation dose matched to that of routine dual-energy stone exams. Data from micro CT provided a reference for the quantification of morphology and mineral composition of the mixed stones. The area under the ROC curve was 1.0 for discriminating UA from CYS, 0.89 for CYS vs COM and 0.84 for COM vs APA. The root mean square error (RMSE) of the percent UA in mixed stones was 11.0% with a medium-sharp kernel and 15.6% with the sharpest kernel. The HR showed qualitatively accurate characterization of stone morphology relative to micro CT.

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Renal stone characterization using high resolution imaging mode on a photon counting detector CT system

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