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 28 条
[1]  
Nishii T., Kono A.K., Negi N., Hashimura H., Uotani K., Okita Y., Sugimura K., The feasibility of a 64-slice MDCT for detection of the Adamkiewicz artery: Comparison of the detection rate of intravenous injection CT angiography using a 64-slice MDCT versus intra-arterial and intravenous injection CT angiography using a 16-slice MDCT, Int J Cardiovasc Imaging, 29, pp. 127-133, (2013)
[2]  
Hurlock G.S., Higashino H., Mochizuki T., History of cardiac computed tomography: Single to 320-detector row multislice computed tomography, Int J Cardiovasc Imaging, 25, pp. 31-42, (2009)
[3]  
Komissarova M., Chong S., Frey K., Sundaram B., Imaging of acute pulmonary embolism, Emerg Radiol, 20, pp. 89-101, (2013)
[4]  
Brenner D.J., Hall E.J., Computed tomography - An increasing source of radiation exposure, New England Journal of Medicine, 357, 22, pp. 2277-2284, (2007)
[5]  
Fleischmann D., Boas F.E., Computed tomography - Old ideas and new technology, Eur Radiol, 21, pp. 510-517, (2011)
[6]  
Hara A.K., Paden R.G., Silva A.C., Kujak J.L., Lawder H.J., Pavlicek W., Iterative reconstruction technique for reducing body radiation dose at CT: Feasibility study, Am J Roentgenol, 193, pp. 764-771, (2009)
[7]  
Singh S., Kalra M.K., Hsieh J., Licato P.E., Do S., Pien H.H., Blake M.A., Abdominal CT: Comparison of adaptive statistical iterative and filtered back projection reconstruction techniques, Radiology, 257, pp. 373-383, (2010)
[8]  
Gervaise A., Osemont B., Lecocq S., Noel A., Micard E., Felblinger J., Blum A., CT image quality improvement using adaptive iterative dose reduction with wide-volume acquisition on 320-detector CT, Eur Radiol, 22, pp. 295-301, (2012)
[9]  
Irwan B., Nakanishi S., Blum A., AIDR 3D - Reduces Dose and Simultaneously Improves Image Quality, (2012)
[10]  
Willemink M.J., De Jong P.A., Leiner T., De Heer L.M., Nievelstein R.A., Budde R.P., Schilham A.M., Iterative reconstruction techniques for computed tomography part 1: Technical principles, Eur Radiol, 23, pp. 1623-1631, (2013)