Magnetic induction tomography: evaluation of the point spread function and analysis of resolution and image distortion

被引:13
|
作者
Merwa, Robert [1 ]
Scharfetter, Hermann [1 ]
机构
[1] Graz Univ Technol, Inst Med Engn, A-8010 Graz, Austria
关键词
magnetic induction tomography; point spread function; resolution; inverse problem; regularization;
D O I
10.1088/0967-3334/28/7/S24
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Magnetic induction tomography (MIT) is a low-resolution imaging modality used for reconstructing the changes of the passive electrical properties in a target object. For an imaging system, it is very important to give forecasts about the image quality. Both the maximum resolution and the correctness of the location of the inhomogeneities are of major interest. Furthermore, the smallest object which can be detected for a certain noise level is a criterion for the diagnostic value of an image. The properties of an MIT image are dependent on the position inside the object, the conductivity distribution and of course on the location and the number of excitation coils and receiving coils. Quantitative statements cannot be made in general but it is feasible to predict the image quality for a selected problem. For electrical impedance tomography (EIT), the theoretical limits of image quality have been studied carefully and a comprehensive analysis for MIT is necessary. Thus, a simplified analysis on resolution, dimensions and location of an inhomogeneity was carried out by means of an evaluation of the point spread function (PSF). In analogy to EIT the PSF depends strongly on the location, showing the broadest distribution in the centre of the object. Increasing the amount of regularization according to increasing measurement noise, the PSF broadens and its centre is shifted towards the borders of the object. The resolution is indirectly proportional to the width of the PSF and increases when moving from the centre towards the border of the object and decreases with increasing noise.
引用
收藏
页码:S313 / S324
页数:12
相关论文
共 50 条
  • [31] Experimental evaluation of computerised tomography point spread function variability within the field of view:: parametric models
    Doré, S
    Kearney, RE
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2004, 42 (05) : 591 - 597
  • [32] Experimental evaluation of computerised tomography point spread function variability within the field of view: Parametric models
    S. Doré
    R. E. Kearney
    Medical and Biological Engineering and Computing, 2004, 42 : 591 - 597
  • [33] Measurement of the point spread function of seawater with method of image transmission
    Yu, Yifan
    Chen, Weizhen
    Huang, Hailong
    Liu, Zhishen
    Guangxue Xuebao/Acta Optica Sinica, 2000, 20 (12): : 1647 - 1651
  • [34] A Modified Method On The Point Spread Function Of Motion Blur Image
    Duan, Zewei
    Qin, Lei
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING 2015 (ICMMCCE 2015), 2015, 39 : 2212 - 2217
  • [35] Conservation of energy between pupil and image for point spread function
    Shibuya, Masato
    Tanabe, Takao
    Toyoda, Mitsunori
    OPTIK, 2022, 249
  • [36] Distorted point spread function and image reconstruction for ghost imaging
    Li, Zijie
    Zhao, Qing
    Gong, Wenlin
    OPTICS AND LASERS IN ENGINEERING, 2021, 139
  • [37] Point-spread function indentification in the image restoration problem
    Kravchenko, VF
    Rvachev, VA
    Pustovoit, VI
    DOKLADY AKADEMII NAUK, 1996, 348 (03) : 310 - 312
  • [38] Sensitivity analysis for magnetic induction tomography
    Soleimani, M
    Jersey-Willuhn, K
    PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2004, 26 : 1368 - 1371
  • [39] Improvement on Conductivity Image Reconstruction in Magnetic Induction Tomography
    Yazdanian, Hassan
    Jafari, Reza
    2018 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA), 2018, : 864 - 868
  • [40] Approaches for improving image quality in magnetic induction tomography
    Maimaitijiang, Y.
    Roula, M. A.
    Kahlert, J.
    PHYSIOLOGICAL MEASUREMENT, 2010, 31 (08) : S147 - S156