4.6 Article

Full field-of-view, high-resolution, photon-counting detector CT: technical assessment and initial patient experience

期刊

PHYSICS IN MEDICINE AND BIOLOGY
卷 66, 期 20, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1361-6560/ac155e

关键词

x-ray computed tomography; spatial resolution; photon-counting detector; image analysis

资金

  1. National Institutes of Health [R01 EB028590, C06 RR018898]
  2. Siemens Healthineers GmbH

向作者/读者索取更多资源

The study evaluated a full field-of-view photon-counting detector computed tomography system using phantoms and patient examples, showing excellent performance in image quality and potential clinical impact.
We report a comprehensive evaluation of a full field-of-view (FOV) photon-counting detector (PCD) computed tomography (CT) system using phantoms, and qualitatively assess image quality in patient examples. A whole-body PCD-CT system with 50 cm FOV, 5.76 cm z-detector coverage and two acquisition modes (standard: 144 x 0.4 mm collimation and ultra-high resolution (UHR): 120 x 0.2 mm collimation) was used in this study. Phantoms were scanned to assess image uniformity, CT number accuracy, noise power spectrum, spatial resolution, material decomposition and virtual monoenergetic imaging (VMI) performance. Four patients were scanned on the PCD-CT system with matched or lower radiation dose than their prior clinical CT scans performed using energy-integrating detector (EID) CT, and the potential clinical impact of PCD-CT was qualitatively evaluated. Phantom results showed water CT numbers within +/- 5 HU, and image uniformity measured between peripheral and central regions-of-interests to be within +/- 5 HU. For the UHR mode using a dedicated sharp kernel, the cut-off spatial frequency was 40 line-pairs cm(-1), which corresponds to a 125 mu m limiting in-plane spatial resolution. The full-width-at-half-maximum for the section sensitivity profile was 0.33 mm for the smallest slice thickness (0.2 mm) using the UHR mode. Material decomposition in a multi-energy CT phantom showed accurate material classification, with a root-mean-squared-error of 0.3 mg cc(-1) for iodine concentrations (2-15 mg cc(-1)) and 14.2 mg cc(-1) for hydroxyapatite concentrations (200 and 400 mg cc(-1)). The average percent error for CT numbers corresponding to the iodine concentrations in VMI (40-70 keV) was 2.75%. Patient PCD-CT images demonstrated better delineation of anatomy for chest and temporal bone exams performed with the UHR mode, which allowed the use of very sharp kernels not possible with EID-CT. VMI and virtual non-contrast images generated from a patient head CT angiography exam using the standard acquisition mode demonstrated the multi-energy capability of the PCD-CT system.

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