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Abdominal Imaging with Contrast-enhanced Photon-counting CT: First Human Experience.
Amir Pourmorteza1, Rolf Symons1, Veit Sandfort1
1From Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
Radiology
|February 4, 2016
Summary
Photon-counting detector (PCD) computed tomography (CT) systems perform similarly to conventional energy-integrating detector (EID) systems for abdominal imaging. PCD offers spectral information for material decomposition, enhancing kidney tissue contrast-to-noise ratio.
Area of Science:
- Medical Imaging
- Radiology
- Detector Technology
Background:
- Conventional energy-integrating detector (EID) computed tomography (CT) systems are standard for abdominal imaging.
- Photon-counting detector (PCD) CT represents a newer technology with potential advantages.
Purpose of the Study:
- To evaluate the performance of a prototype photon-counting detector (PCD) CT system for abdominal imaging in humans.
- To compare PCD system performance against a conventional energy-integrating detector (EID) CT system.
Main Methods:
- Prospective enrollment of 15 asymptomatic volunteers.
- Radiation dose-matched spiral and axial abdominal scans acquired with both EID and PCD systems.
- Image quality, Hounsfield unit accuracy, spatial resolution, and noise-power spectrum were assessed using radiologist scoring, phantom studies, and statistical analysis.
Main Results:
- Image quality, noise, and artifact scores were similar between PCD and EID systems (P > .17).
- Hounsfield unit accuracy was comparable, except for lower values in the spinal canal with PCD due to beam hardening (P < .001).
- PCD iodine mapping improved contrast-to-noise ratio for enhanced kidney tissue compared to EID (P < .001).
Conclusions:
- PCD CT demonstrates comparable performance to EID CT in conventional abdominal scan modes.
- PCD technology offers spectral information enabling material decomposition, with potential for improved diagnostic capabilities.
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