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

Andrea Ferrero, R. Gutjahr, A. Henning, S. Kappler, A. Halaweish, D. Abdurakhimova, Z. Peterson, J. Montoya, Shuai Leng, Cynthia H McCollough

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish (US)
Title of host publicationMedical Imaging 2017
Subtitle of host publicationPhysics of Medical Imaging
PublisherSPIE
Volume10132
ISBN (Electronic)9781510607095
DOIs
StatePublished - 2017
EventMedical Imaging 2017: Physics of Medical Imaging - Orlando, United States
Duration: Feb 13 2017Feb 16 2017

Other

OtherMedical Imaging 2017: Physics of Medical Imaging
CountryUnited States
CityOrlando
Period2/13/172/16/17

Fingerprint

Cystines
Calcium Oxalate
Cystine
Uric Acid
Photons
Calcium
Apatites
counting
Apatite
rocks
Detectors
Kidney
Imaging techniques
Minerals
Acids
uric acid
high resolution
detectors
photons
Whole-Body Counting

Keywords

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

ASJC Scopus subject areas

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

Cite this

Ferrero, A., Gutjahr, R., Henning, A., Kappler, S., Halaweish, A., Abdurakhimova, D., ... McCollough, C. H. (2017). Renal stone characterization using high resolution imaging mode on a photon counting detector CT system. In Medical Imaging 2017: Physics of Medical Imaging (Vol. 10132). [101323J] SPIE. https://doi.org/10.1117/12.2255651

Renal stone characterization using high resolution imaging mode on a photon counting detector CT system. / Ferrero, Andrea; Gutjahr, R.; Henning, A.; Kappler, S.; Halaweish, A.; Abdurakhimova, D.; Peterson, Z.; Montoya, J.; Leng, Shuai; McCollough, Cynthia H.

Medical Imaging 2017: Physics of Medical Imaging. Vol. 10132 SPIE, 2017. 101323J.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ferrero, A, Gutjahr, R, Henning, A, Kappler, S, Halaweish, A, Abdurakhimova, D, Peterson, Z, Montoya, J, Leng, S & McCollough, CH 2017, Renal stone characterization using high resolution imaging mode on a photon counting detector CT system. in Medical Imaging 2017: Physics of Medical Imaging. vol. 10132, 101323J, 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 Medical Imaging 2017: Physics of Medical Imaging. Vol. 10132. SPIE. 2017. 101323J https://doi.org/10.1117/12.2255651
Ferrero, Andrea ; Gutjahr, R. ; Henning, A. ; Kappler, S. ; Halaweish, A. ; Abdurakhimova, D. ; Peterson, Z. ; Montoya, J. ; Leng, Shuai ; McCollough, Cynthia H. / Renal stone characterization using high resolution imaging mode on a photon counting detector CT system. Medical Imaging 2017: Physics of Medical Imaging. Vol. 10132 SPIE, 2017.
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