Advanced Imaging of Shunt Valves in Cranial CT Scans with Photon-Counting Scanner

被引:0
|
作者
Klempka, Anna [1 ]
Ackermann, Eduardo [1 ]
Brehmer, Stefanie [2 ]
Clausen, Sven [3 ]
Groden, Christoph [1 ]
机构
[1] Heidelberg Univ, Univ Med Ctr Mannheim, Med Fac Mannheim, Dept Neuroradiol, D-68167 Mannheim, Germany
[2] Heidelberg Univ, Univ Med Ctr Mannheim, Med Fac Mannheim, Dept Neurosurg, D-68167 Mannheim, Germany
[3] Heidelberg Univ, Univ Med Ctr Mannheim, Med Fac Mannheim, Dept Radiat Oncol, D-68167 Mannheim, Germany
关键词
photon counting; computer tomography; shunt valves;
D O I
10.3390/tomography10050050
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
This brief report aimed to show the utility of photon-counting technology alongside standard cranial imaging protocols for visualizing shunt valves in a patient's cranial computed tomography scan. Photon-counting CT scans with cranial protocols were retrospectively surveyed and four types of shunt valves were encountered: proGAV 2.0 (R), M.blue (R), Codman Certas (R), and proSA (R). These scans were compared with those obtained from non-photon-counting scanners at different time points for the same patients. The analysis of these findings demonstrated the usefulness of photon-counting technology for the clear and precise visualization of shunt valves without any additional radiation or special reconstruction patterns. The enhanced utility of photon-counting is highlighted by providing superior spatial resolution compared to other CT detectors. This technology facilitates a more accurate characterization of shunt valves and may support the detection of subtle abnormalities and a precise assessment of shunt valves.
引用
收藏
页码:654 / 659
页数:6
相关论文
共 50 条
  • [31] Multicolour imaging with spectral photon-counting CT: a phantom study
    Si-Mohamed S.
    Bar-Ness D.
    Sigovan M.
    Tatard-Leitman V.
    Cormode D.P.
    Naha P.C.
    Coulon P.
    Rascle L.
    Roessl E.
    Rokni M.
    Altman A.
    Yagil Y.
    Boussel L.
    Douek P.
    European Radiology Experimental, 2 (1)
  • [32] New Horizons in Vascular Imaging With Photon-Counting Detector CT
    Wildberger, Joachim E.
    Alkadhi, Hatem
    INVESTIGATIVE RADIOLOGY, 2023, 58 (07) : 499 - 504
  • [33] DOSE REDUCTION IN QUANTITATIVE IODINE IMAGING WITH PHOTON-COUNTING CT
    Rodesch, Pierre-Antoine
    Richtsmeier, Devon
    Bazalova-Carter, Magdalena
    RADIOTHERAPY AND ONCOLOGY, 2023, 186 : S104 - S105
  • [34] Optimizing Photon-Counting Detector CT for Imaging Intracranial Aneurysms
    Rajendran, Kishore
    Madhavan, Ajay A.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2024, 45 (10) : 1458 - 1460
  • [35] Photon-Counting Detector CT for Musculoskeletal Imaging: A Clinical Perspective
    Baffour, Francis I.
    Glazebrook, Katrina N.
    Ferrero, Andrea
    Leng, Shuai
    McCollough, Cynthia H.
    Fletcher, Joel G.
    Rajendran, Kishore
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2023, 220 (04) : 551 - 560
  • [36] Advanced Imaging Technology: Photon Counting CT
    Jalal, Sabeena
    Nicolaou, Savvas
    CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2024, 75 (01): : 20 - 21
  • [37] Creating a Foundation for the Visualization of Intracranial Cerebrospinal Fluid Using Photon-Counting Technology in Spectral Imaging for Cranial CT
    Klempka, Anna
    Neumayer, Philipp
    Schroeder, Alexander
    Ackermann, Eduardo
    Hetjens, Svetlana
    Clausen, Sven
    Groden, Christoph
    DIAGNOSTICS, 2024, 14 (22)
  • [38] Photon-counting CT: Embracing the Change
    Ananthakrishnan, Lakshmi
    RADIOGRAPHICS, 2023, 43 (05)
  • [39] Abdominal applications of photon-counting CT
    Khanungwanitkul, Khanin
    Sliwicka, Olga
    Schwartz, Fides Regina
    BRITISH JOURNAL OF RADIOLOGY, 2024,
  • [40] Photon-counting CT versus conventional CT for COPD quantifications: intra-scanner optimization and inter-scanner assessments using virtual imaging trials
    Sotoudeh-Paima, Saman
    Segars, W. Paul
    Samei, Ehsan
    Abadi, Ehsan
    MEDICAL IMAGING 2022: PHYSICS OF MEDICAL IMAGING, 2022, 12031