Potential of employing a quantum iterative reconstruction algorithm for ultra-high-resolution photon-counting detector CT of the hip |
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| Affiliation: | 1. Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany;2. Institute of Anatomy and Cell Biology, University of Würzburg, Koellikerstraße 6, 97070 Würzburg, Germany;1. Computer Sciences Department, Faculty of Sciences Semlalia, Cadi Ayyad University, Morocco;2. Polydisciplinary Faculty Safi, Cadi Ayyad University, Morocco;1. Radiology, James Cook University Hospital, South Tees NHS Trust, Marton Road, Middlesbrough, TS4 3BW, UK;2. Visiting Scholar of Teesside University, School of Health & Life Sciences, Centuria Building, Tees Valley, Middlesbrough, TS1 3BX, UK;3. Faculty of Health Studies, University of Bradford, Bradford, UK;4. Radiology, Mid Yorkshire Hospitals NHS Trust, Wakefield, UK;1. Department of Medical Radiography and Radiological Sciences, Faculty of Health Sciences and Technology. College of Medicine, University of Nigeria, Enugu Campus, Enugu State, Nigeria;2. Department of Radiography and Radiological Sciences, Faculty of Health Sciences and Technology, College of Health Sciences, Nnamdi Azikiwe University, Nnewi Campus, Anambra state, Nigeria;1. Senior Radiographer, Mater Dei Hospital, Triq Dun Karm, L-Imsida, MSD 2090, Malta;2. Senior Lecturer in Psychology, School of Psychology, Newcastle University, Newcastle NE2 4DR, UK;3. Principal Lecturer, School of Health and Life Sciences, Teesside University, Middlesbrough, TS1 3BX, UK |
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| Abstract: | IntroductionThis study investigated the image quality of a new quantum iterative reconstruction algorithm (QIR) for high resolution photon-counting CT of the hip.MethodsUsing a first-generation photon-counting CT scanner, five cadaveric specimens were examined with ultra-high-resolution protocols matched for radiation dose. Images were post-processed with a sharp convolution kernel and five different strength levels of iterative reconstruction (QIR 0 – QIR 4). Subjective image quality was rated independently by three radiologists on a five-point scale. Intraclass correlation coefficients (ICC) were computed for assessing interrater agreement. Objective image quality was evaluated by means of contrast-to-noise-ratios (CNR) in bone and muscle tissue.ResultsFor osseous tissue, subjective image quality was rated best for QIR 2 reformatting (median 5 [interquartile range 5–5]). Contrarily, for soft tissue, QIR 4 received the highest ratings among compared strength levels (3 [3–4]). Both ICCbone (0.805; 95% confidence interval 0.711–0.877; p < 0.001) and ICCmuscle (0.885; 0.824–0.929; p < 0.001) suggested good interrater agreement. CNR in bone and muscle tissue increased with ascending strength levels of iterative reconstruction with the highest results recorded for QIR 4 (CNRbone 29.43 ± 2.61; CNRmuscle 8.09 ± 0.77) and lowest results without QIR (CNRbone 3.90 ± 0.29; CNRmuscle 1.07 ± 0.07) (all p < 0.001).ConclusionReconstructing photon-counting CT data with an intermediate QIR strength level appears optimal for assessment of osseous tissue, whereas soft tissue analysis benefitted from applying the highest strength level available.Implications for practiceQuantum iterative reconstruction technique can enhance image quality by significantly reducing noise and improving CNR in ultra-high resolution CT imaging of the hip. |
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| Keywords: | Photon-counting Computed tomography Iterative reconstruction Pelvic imaging CNR" },{" #name" :" keyword" ," $" :{" id" :" kwrd0035" }," $$" :[{" #name" :" text" ," _" :" contrast-to-noise ratio CTDIvol" },{" #name" :" keyword" ," $" :{" id" :" kwrd0045" }," $$" :[{" #name" :" text" ," _" :" volume computed tomography dose index EID-CT" },{" #name" :" keyword" ," $" :{" id" :" kwrd0055" }," $$" :[{" #name" :" text" ," _" :" energy-integrating detector computed tomography PCD-CT" },{" #name" :" keyword" ," $" :{" id" :" kwrd0065" }," $$" :[{" #name" :" text" ," _" :" photon-counting detector computed tomography UHR" },{" #name" :" keyword" ," $" :{" id" :" kwrd0075" }," $$" :[{" #name" :" text" ," _" :" ultra-high-resolution QIR" },{" #name" :" keyword" ," $" :{" id" :" kwrd0085" }," $$" :[{" #name" :" text" ," _" :" quantum iterative reconstruction |
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