Neurovascular Imaging with Ultra-High-Resolution Photon-Counting CT: Preliminary Findings on Image-Quality Evaluation

被引:0
|
作者
Toth, Adrienn [1 ]
Chetta, Justin A. [1 ]
Yazdani, Milad [1 ]
Matheus, M. Gisele [1 ]
O'Doherty, Jim [1 ,2 ]
Tipnis, Sameer V. [1 ]
Spampinato, M. Vittoria [1 ]
机构
[1] Med Univ South Carolina, Dept Radiol & Radiol Sci, 209D Clin Sci Bldg,96 Jonathan Lucas St, Charleston, SC 29425 USA
[2] Siemens Med Solut, Malvern, PA USA
关键词
DETECTOR CT; INTRACRANIAL ANEURYSMS; ANGIOGRAPHY; DIAGNOSIS; VOLUME;
D O I
10.3174/ajnr.A8350
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND AND PURPOSE: The first-generation photon-counting detector (PCD) CT was recently introduced into clinical practice and represents a promising innovation in high-resolution CT imaging. The purpose of this study was to assess the image quality of ultra-high-resolution (UHR) PCD-CT compared with energy-integrating detector (EID)-CT, and to explore different reconstruction kernel sharpness levels for the evaluation of intracranial aneurysms. MATERIALS AND METHODS: Ten patients with intracranial saccular aneurysms, who had previously undergone conventional EID-CT, were prospectively enrolled. CT angiograms were acquired on a clinical dual-source PCD-CT in UHR mode, and reconstructed with four vascular kernels (Bv36, Bv40, Bv44, Bv48). Quantitative and qualitative image quality parameters of the intracranial arteries were evaluated. For the quantitative analysis (image noise, SNR, CNR), regions of interest were manually placed at standard anatomical intracranial and extracranial locations by one author. In addition, vessel border sharpness was evaluated quantitatively. For the qualitative analysis, three blinded neuroradiologists rated PCD-CT and EID-CT image quality for the evaluation of the intracranial vessels (i.e., the aneurysms and nine standard vascular branching locations) on a 5-point Likert-type scale. Additionally, readers independently selected their preferred kernel among the four kernels evaluated on PCD-CT. RESULTS: In terms of quantitative image quality, Bv48, the sharpest kernel, yielded increased image noise, and decreased SNR and CNR parameters compared to Bv36, the smoothest kernel. Compared to EID-CT, the Bv48 kernel offered better quantitative image quality for the evaluation of small intracranial vessels (p < .001). Image quality ratings of the Bv48 were superior to those of the EIDCT, and not significantly different from ratings of the B44 reconstruction kernel. When comparing side-by-side all four PCD-CT reconstruction kernels, readers selected the B48 kernel as the best to visualize the aneurysms in 80% of cases. CONCLUSIONS: UHR PCD-CT provides improved image quality for neurovascular imaging. Although the less sharp kernels provided superior SNR and CNR, the sharpest kernels delivered the best subjective image quality on PCD-CT for the evaluation of intracranial aneurysms.
引用
下载
收藏
页数:8
相关论文
共 50 条
  • [31] Ultra-high-resolution spectral silicon-based photon-counting detector CT for coronary CT angiography: Initial results in a dynamic phantom
    Holmes, Thomas Wesley
    Yin, Zhye
    Stevens, Grant M.
    Slavic, Scott
    Okerlund, Darin R.
    Maltz, Jonathan S.
    Pourmorteza, Amir
    JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 2023, 17 (05) : 341 - 344
  • [32] CARDIAC THORAX-Ultra-high resolution coronary CTA with photon-counting CT
    Krome, Susanne
    ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2023, 195 (08): : 669 - 669
  • [33] Spectral Shaping Via Tin Prefiltration in Ultra-High-Resolution Photon-Counting and Energy-Integrating Detector CT of the Temporal Bone
    Grunz, Jan-Peter
    Heidenreich, Julius Frederik
    Lennartz, Simon
    Weighardt, Jens Philipp
    Bley, Thorsten Alexander
    Erguen, Sueleyman
    Petritsch, Bernhard
    Huflage, Henner
    INVESTIGATIVE RADIOLOGY, 2022, 57 (12) : 819 - 825
  • [34] Ultra-high-resolution imaging of the shoulder and pelvis using photon-counting-detector CT: a feasibility study in patients
    Baffour, Francis, I
    Rajendran, Kishore
    Glazebrook, Katrina N.
    Thorne, Jamison E.
    Larson, Nicholas B.
    Leng, Shuai
    McCollough, Cynthia H.
    Fletcher, Joel G.
    EUROPEAN RADIOLOGY, 2022, 32 (10) : 7079 - 7086
  • [35] Ultra-high-resolution imaging of the shoulder and pelvis using photon-counting-detector CT: a feasibility study in patients
    Francis I. Baffour
    Kishore Rajendran
    Katrina N. Glazebrook
    Jamison E. Thorne
    Nicholas B. Larson
    Shuai Leng
    Cynthia H. McCollough
    Joel G. Fletcher
    European Radiology, 2022, 32 : 7079 - 7086
  • [36] Dedicated convolutional neural network for noise reduction in ultra-high-resolution photon-counting detector computed tomography
    Huber, Nathan R.
    Ferrero, Andrea
    Rajendran, Kishore
    Baffour, Francis
    Glazebrook, Katrina N.
    Diehn, Felix E.
    Inoue, Akitoshi
    Fletcher, Joel G.
    Yu, Lifeng
    Leng, Shuai
    McCollough, Cynthia H.
    PHYSICS IN MEDICINE AND BIOLOGY, 2022, 67 (17):
  • [37] Low dose and high image quality tomosynthesis with a photon-counting imaging technology
    Francke, T
    Maidment, A
    Thunberg, S
    Adelow, L
    Blom, O
    Egerstrom, J
    Eklund, M
    Jordung, U
    Kristoffersson, T
    Lidman, K
    Lindqvist, L
    Marchal, D
    Olla, H
    Penton, E
    Ratanen, J
    Sokolov, S
    Ullberg, C
    Weber, N
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2005, 184 (04) : 42 - 42
  • [38] Qualitative and quantitative image quality of coronary CT angiography using photon-counting computed tomography: Standard and Ultra-high resolution protocols
    Vattay, Borbala
    Boussoussou, Melinda
    Vecsey-Nagy, Milan
    Kolossvary, Marton
    Juhasz, Denes
    Kerkovits, Nora
    Balogh, Hanna
    Nagy, Norbert
    Vertes, Miklos
    Kiss, Mate
    Kubovje, Aniko
    Merkely, Bela
    Horvat, Pal Maurovich
    Szilveszter, Balint
    EUROPEAN JOURNAL OF RADIOLOGY, 2024, 175
  • [39] Low Dose Ultra-High Resolution Sinus Imaging Using Photon-Counting Detector CT with Tin Filter
    Rajendran, K.
    Zhou, W.
    Tao, S.
    Voss, B.
    Bruesewitz, M.
    Weaver, J.
    DeLone, D.
    Fletcher, J.
    McCollough, C.
    Leng, S.
    MEDICAL PHYSICS, 2019, 46 (06) : E409 - E409
  • [40] Investigating the Small Pixel Effect in Ultra-High Resolution Photon-Counting CT of the Lung
    Huflage, Henner
    Hendel, Robin
    Kunz, Andreas Steven
    Ergun, Sueleyman
    Afat, Saif
    Petri, Nils
    Hartung, Viktor
    Gruschwitz, Philipp
    Bley, Thorsten Alexander
    Grunz, Jan-Peter
    INVESTIGATIVE RADIOLOGY, 2024, 59 (04) : 293 - 297