Spatial resolution measurement for iterative reconstruction by use of image-averaging techniques in computed tomography

被引:38
|
作者
Urikura A. [1 ,2 ]
Ichikawa K. [3 ]
Hara T. [4 ]
Nishimaru E. [5 ]
Nakaya Y. [1 ]
机构
[1] Department of Diagnostic Radiology, Shizuoka Cancer Center, Sunto, Shizuoka 411-8777, 1007 Shimonagakubo, Nagaizumi
[2] Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa 920-0942
[3] Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Ishikawa 920-0942
[4] Department of Medical Technology, Nakatsugawa Municipal General Hospital, Nakatsugawa, Gifu 508-0011
[5] Department of Radiology, Hiroshima University Hospital, Minami-ku, Hiroshima 734-8551
关键词
Computed tomography; Dose reduction; Image noise; Iterative reconstruction; MTF; Spatial resolution;
D O I
10.1007/s12194-014-0273-2
中图分类号
学科分类号
摘要
The purpose of our study was to investigate the validity of a spatial resolution measuring method that uses a combination of a bar-pattern phantom and an image-averaging technique, and to evaluate the spatial resolution property of iterative reconstruction (IR) images with middle-contrast (50 HU) objects. We used computed tomography (CT) images of the bar-pattern phantom reconstructed by the IR technology Adaptive Iterative Dose Reduction 3D (AIDR 3D), which was installed in the multidetector CT system Aquilion ONE (Toshiba Medical Systems, Otawara, Japan). The contrast of the bar-pattern image was set to 50 HU, which is considered to be a middle contrast that requires higher spatial resolution clinically. We employed an image-averaging technique to eliminate the influence of image noise, and we obtained averaged images of the bar-pattern phantom with sufficiently low noise. Modulation transfer functions (MTFs) were measured from the images. The conventional wire method was also used for comparison; in this method, AIDR 3D showed MTF values equivalent to those of filtered back projection. For the middle-contrast condition, the results showed that the MTF of AIDR 3D decreased with the strength of IR processing. Further, the MTF of AIDR 3D decreased with dose reduction. The image-averaging technique used was effective for correct evaluation of the spatial resolution for middle-contrast objects in IR images. The results obtained by our method clarified that the resolution preservation of AIDR 3D was not sufficient for middle-contrast objects. © 2014 Japanese Society of Radiological Technology and Japan Society of Medical Physics.
引用
收藏
页码:358 / 366
页数:8
相关论文
共 50 条
  • [21] Characterization of a computed tomography iterative reconstruction algorithm by image quality evaluations with an anthropomorphic phantom
    Rampado, O.
    Bossi, L.
    Garabello, D.
    Davini, O.
    Ropolo, R.
    EUROPEAN JOURNAL OF RADIOLOGY, 2012, 81 (11) : 3172 - 3177
  • [22] Iterative image reconstruction techniques: Applications for cardiac CT
    Renker, Matthias
    Ramachandra, Ashok
    Schoepf, U. Joseph
    Raupach, Rainer
    Apfaltrer, Paul
    Rowe, Garrett W.
    Vogt, Sebastian
    Flohr, Thomas G.
    Kerl, J. Matthias
    Bauer, Ralf W.
    Fink, Christian
    Henzler, Thomas
    JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 2011, 5 (04) : 225 - 230
  • [23] Tube current reduction and iterative image reconstruction for computed tomography myelography
    Paprottka, Karolin J.
    Schultz, Vivian
    Kupfer, Karina
    Beer, Meinrad
    Zimmer, Claus
    Kirschke, Jan S.
    Baum, Thomas
    Sollmann, Nico
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [24] On the assessment of spatial resolution of PET systems with iterative image reconstruction
    Gong, Kuang
    Cherry, Simon R.
    Qi, Jinyi
    PHYSICS IN MEDICINE AND BIOLOGY, 2016, 61 (05) : N193 - N202
  • [25] The use of artificial intelligence in computed tomography image reconstruction - A literature review
    Zhang, Ziyu
    Seeram, Euclid
    JOURNAL OF MEDICAL IMAGING AND RADIATION SCIENCES, 2020, 51 (04) : 671 - 677
  • [26] High-Resolution Computed Tomography Examinations for Chronic Suppurative Lung Disease in Early Childhood: Radiation Exposure and Image Quality Evaluations With Iterative Reconstruction Algorithm Use
    Smarda, Magdalini
    Efstathopoulos, Efstathios
    Mazioti, Argyro
    Kordolaimi, Sofia
    Ploussi, Agapi
    Priftis, Konstantinos
    Kelekis, Nikolaos
    Alexopoulou, Efthymia
    CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2016, 67 (03): : 218 - 224
  • [27] Noise reduction and image quality in ultra-high resolution computed tomography of the temporal bone using advanced modeled iterative reconstruction
    Hempel, Johann-Martin
    Bongers, Malte Niklas
    Braun, Katharina
    Ernemann, Ulrike
    Bier, Georg
    ACTA RADIOLOGICA, 2019, 60 (09) : 1135 - 1143
  • [28] Spatial Resolution Enhancement in CT Iterative Reconstruction
    Zeng, Kai
    De Man, Bruno
    Thibault, Jean-Baptiste
    Yu, Zhou
    Bouman, Charles
    Sauer, Ken
    2009 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-5, 2009, : 3748 - +
  • [29] Effects of pure and hybrid iterative reconstruction algorithms on high-resolution computed tomography in the evaluation of interstitial lung disease
    Katsura, Masaki
    Sato, Jiro
    Akahane, Masaaki
    Mise, Yoko
    Sumida, Kaoru
    Abe, Osamu
    EUROPEAN JOURNAL OF RADIOLOGY, 2017, 93 : 243 - 251
  • [30] Computed Tomography Radiation Dose Reduction: Effect of Different Iterative Reconstruction Algorithms on Image Quality
    Willemink, Martin J.
    Takx, Richard A. P.
    de Jong, Pim A.
    Budde, Ricardo P. J.
    Bleys, Ronald L. A. W.
    Das, Marco
    Wildberger, Joachim E.
    Prokop, Mathias
    Buls, Nico
    de Mey, Johan
    Leiner, Tim
    Schilham, Arnold M. R.
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2014, 38 (06) : 815 - 823