Metal artifacts and artifact reduction of neurovascular coils in photon-counting detector CT versus energy-integrating detector CT - in vitro comparison of a standard brain imaging protocol

被引:13
|
作者
Schmitt, Niclas [1 ]
Wucherpfennig, Lena [2 ]
Rotkopf, Lukas T. [3 ]
Sawall, Stefan [4 ]
Kauczor, Hans-Ulrich [2 ]
Bendszus, Martin [1 ]
Moehlenbruch, Markus A. [1 ]
Schlemmer, Heinz-Peter [3 ]
Vollherbst, Dominik F. [1 ]
机构
[1] Heidelberg Univ Hosp, Dept Neuroradiol, Neuenheimer Feld 400, D-69120 Heidelberg, Germany
[2] Heidelberg Univ Hosp, Dept Diagnost & Intervent Radiol, Neuenheimer Feld 420, D-69120 Heidelberg, Germany
[3] German Canc Res Ctr, Div Radiol, Neuenheimer Feld 280, D-69120 Heidelberg, Germany
[4] German Canc Res Ctr, Div Xray Imaging & Computed Tomog, Neuenheimer Feld 280, D-69120 Heidelberg, Germany
关键词
Metal artifact reduction; Coils; Photon-counting CT; Aneurysm; Brain imaging; COMPUTED-TOMOGRAPHY;
D O I
10.1007/s00330-022-09073-y
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
Objectives Photon-counting detector computed tomography (PCD-CT) is a promising new technique for CT imaging. The aim of the present study was the in vitro comparison of coil-related artifacts in PCD-CT and conventional energy-integrating detector CT (EID-CT) using a comparable standard brain imaging protocol before and after metal artifact reduction (MAR). Methods A nidus-shaped rubber latex, resembling an aneurysm of the cerebral arteries, was filled with neurovascular platinum coils and inserted into a brain imaging phantom. Image acquisition and reconstruction were repeatedly performed for PCD-CT and EID-CT (n = 10, respectively) using a standard brain imaging protocol. Moreover, linear interpolation MAR was performed for PCD-CT and EID-CT images. The degree of artifacts was analyzed quantitatively (standard deviation in a donut-shaped region of interest) and qualitatively (5-point scale analysis). Results Quantitative and qualitative analysis demonstrated a lower degree of metal artifacts in the EID-CT images compared to the total-energy PCD-CT images (e.g., 82.99 +/- 7.89 Hounsfield units (HU) versus 90.35 +/- 6.28 HU; p < 0.001) with no qualitative difference between the high-energy bin PCD-CT images and the EID-CT images (4.18 +/- 0.37 and 3.70 +/- 0.64; p = 0.575). After MAR, artifacts were more profoundly reduced in the PCD-CT images compared to the EID-CT images in both analyses (e.g., 2.35 +/- 0.43 and 3.18 +/- 0.34; p < 0.001). Conclusion PCD-CT in combination with MAR have the potential to provide an improved option for reduction of coil-related artifacts in cerebral imaging in this in vitro study.
引用
收藏
页码:803 / 811
页数:9
相关论文
共 50 条
  • [1] Metal artifacts and artifact reduction of neurovascular coils in photon-counting detector CT versus energy-integrating detector CT — in vitro comparison of a standard brain imaging protocol
    Niclas Schmitt
    Lena Wucherpfennig
    Lukas T. Rotkopf
    Stefan Sawall
    Hans-Ulrich Kauczor
    Martin Bendszus
    Markus A. Möhlenbruch
    Heinz-Peter Schlemmer
    Dominik F. Vollherbst
    European Radiology, 2023, 33 : 803 - 811
  • [2] Metal Artifact Reduction in Photon-Counting Detector CT Quantitative Evaluation of Artifact Reduction Techniques
    Skornitzke, Stephan
    Mergen, Victor
    Biederer, Juergen
    Alkadhi, Hatem
    Do, Thuy D.
    Stiller, Wolfram
    Frauenfelder, Thomas
    Kauczor, Hans-Ulrich
    Euler, Andre
    INVESTIGATIVE RADIOLOGY, 2024, 59 (06) : 442 - 449
  • [3] A New Iterative Metal Artifact Reduction Algorithm for Both Energy-Integrating and Photon-Counting CT Systems
    Anhaus, Julian A.
    Heider, Maximilian
    Killermann, Philipp
    Hofmann, Christian
    Mahnken, Andreas H.
    INVESTIGATIVE RADIOLOGY, 2024, 59 (07) : 526 - 537
  • [4] Comparison of Photon-counting Detector and Energy-integrating Detector CT for Visual Estimation of Coronary Percent Luminal Stenosis
    Mccollough, Cynthia H.
    Rajiah, Prabhakar
    Bois, John P.
    Winfree, Tim N.
    Carter, Rickey E.
    Rajendran, Kishore
    Williamson, Eric E.
    Thorne, Jamison E.
    Leng, Shuai
    RADIOLOGY, 2023, 309 (03)
  • [5] Infrapopliteal Segments on Lower Extremity CTA: Prospective Intraindividual Comparison of Energy-Integrating Detector CT and Photon-Counting Detector CT
    Yalon, Mariana
    Inoue, Akitoshi
    Thorne, Jamison E.
    Lee, Yong S.
    Johnson, Matthew P.
    Esquivel, Andrea
    Leng, Shuai
    McCollough, Cynthia H.
    Fletcher, Joel G.
    Rajiah, Prabhakar Shantha
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2024, 222 (03)
  • [6] A nonlinear scaling-based normalized metal artifact reduction to reduce low-frequency artifacts in energy-integrating and photon-counting CT
    Anhaus, Julian A.
    Killermann, Philipp
    Mahnken, Andreas H.
    Hofmann, Christian
    MEDICAL PHYSICS, 2023, 50 (08) : 4721 - 4733
  • [7] Contrast-Enhanced Abdominal CT with Clinical Photon-Counting Detector CT: Assessment of Image Quality and Comparison with Energy-Integrating Detector CT
    Higashigaito, Kai
    Euler, Andre
    Eberhard, Matthias
    Flohr, Thomas G.
    Schmidt, Bernhard
    Alkadhi, Hatem
    ACADEMIC RADIOLOGY, 2022, 29 (05) : 689 - 697
  • [8] Intra-individual comparison of coronary artery stenosis measurements between energy-integrating detector CT and photon-counting detector CT
    Wolf, Elias V.
    Gnasso, Chiara
    Schoepf, U. Joseph
    Halfmann, Moritz C.
    O'Doherty, Jim
    Zsarnoczay, Emese
    Varga-Szemes, Akos
    Emrich, Tilman
    Fink, Nicola
    IMAGING, 2023, 15 (02): : 61 - 68
  • [9] Intra-individual comparison of image quality of the coronary arteries between photon-counting detector and energy-integrating detector CT systems
    Pinos, Daniel
    Griffith III, Joseph
    Emrich, Tilman
    Schoepf, U. Joseph
    O'Doherty, Jim
    Zsarnoczay, Emese
    Fink, Nicola
    Vecsey-Nagy, Milan
    Suranyi, Pal
    Tesche, Christian
    Aquino, Gilberto J.
    Varga-Szemes, Akos
    Brandt, Verena
    EUROPEAN JOURNAL OF RADIOLOGY, 2023, 166
  • [10] Photon-Counting Detector CT Virtual Monoengergetic Images for Cochlear Implant Visualization-A Head to Head Comparison to Energy-Integrating Detector CT
    Waldeck, Stephan
    Overhoff, Daniel
    Alizadeh, Leona
    Becker, Benjamin, V
    Port, Matthias
    Froelich, Matthias F.
    Brockmann, Marc A.
    Schumann, Sven
    Vogl, Thomas J.
    Schoenberg, Stefan O.
    Schmidt, Sandra
    TOMOGRAPHY, 2022, 8 (04) : 1642 - 1648