Progress in Medical Physics (한국의학물리학회지:의학물리)

Korean Society of Medical Physics (한국의학물리학회)
권호 표지
DOI QR코드

DOI QR Code

SPECT Image Analysis Using Computational ROC Curve Based on Threshold Setup

  • Kim, Moo-Sub (Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea) ;
  • Shin, Han-Back (Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea) ;
  • Kim, Sunmi (Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea) ;
  • Shim, Jae Goo (Department of Radiologic Technology Daegu Health College) ;
  • Yoon, Do-Kun (Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea) ;
  • Suh, Tae Suk (Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea)
  • Received : 2017.07.21
  • Accepted : 2017.09.01
  • Published : 2017.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

We proposed the objective ROC analysis method based on the setting of threshold value for evaluation of single photon emission computed tomography (SPECT) image. This proposed ROC analysis method uses the quantification computational threshold value to each signal on the SPECT image. The SPECT images for this study were acquired by using Monte Carlo n-particle extended simulation code (MCNPX, Ver. 2.6.0, Los Alamos National Laboratory, USA). The basic SPECT detectors and specific water phantom were realized in the simulation, and we could get the simulation results by the simulation operation. We tried to analyze the reconstructed images using threshold value application based objective ROC method. We can get the accuracy information of reconstructed region in the image. This proposed ROC technique can be helpful when we have to evaluate the weak signal for the NM image. In this study, the proposed threshold value based computational ROC analysis method can provide better objectivity than the conventional ROC analysis method.

Keywords

References

  1. R. B. Mazess, H. M. Wahner, Nuclear medicine and densitometry. Osteoporosis 1988.
  2. J. J. Conway, M. Maizels, The"well tempered" diuretic renogram: a standard method to examine the asymptomatic neonate with hydronephrosis or hydroureteronephrosis. A report from combined meetings of The Society for Fetal Urology and members of The Pediatric Nuclear Medicine Council--The Society of Nuclear Medicine. Journal of nuclear medicine: official publication, Society of Nuclear Medicine 1992;33:2047-2051.
  3. C. Gabriela, M. Chianelli, A. Signore, Nuclear medicine imaging of diabetic foot infection: results of meta-analysis. Nuclear medicine communications 2006;27:757-764. https://doi.org/10.1097/01.mnm.0000230065.85705.b3
  4. H. Kitagawa, A. G. Farman, M. Wakoh, et al. Objective and subjective assessments of Kodak Ektaspeed plus new dental X-ray film: a comparison with other conventional X-ray films. The Bulletin of Tokyo Dental College 1955;36:61-67.
  5. Y. Ojima, A. Tsujikawa, M. Hangai, et al. Retinal sensitivity measured with the micro perimeter 1 after resolution of central serous chorioretinopathy. American journal of ophthalmology 2008;146:77-84. https://doi.org/10.1016/j.ajo.2008.02.016
  6. J. Eng, Receiver operating characteristic analysis. Academic radiology 2005;12:909-916. https://doi.org/10.1016/j.acra.2005.04.005
  7. M. Greiner, P. Dirk, R. D. Smith, Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. Preventive veterinary medicine 200;45:23-41. https://doi.org/10.1016/S0167-5877(00)00115-X
  8. K. H. Zou, A. J. O'Malley, L. Mauri, Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Circulation 2007;115:654-657. https://doi.org/10.1161/CIRCULATIONAHA.105.594929
  9. A. T. Peterson, M. Papeş, J. Soberon, Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecological modelling 2008;213:63-72. https://doi.org/10.1016/j.ecolmodel.2007.11.008
  10. Yoon DK, Jung JY, Jo Hong K, et al. GPU‐based prompt gamma ray imaging from boron neutron capture therapy. Medical physics 2015;42:165-169.
  11. Yoon D-K, Jung J-Y, Jo Hong K, et al. Tomographic image of prompt gamma ray from boron neutron capture therapy: A Monte Carlo simulation study. Applied Physics Letters 2014;104:083521. https://doi.org/10.1063/1.4867338
  12. Shin HB, Yoon DK, Jung JY, et al. Prompt gamma ray imaging for verification of proton boron fusion therapy: A Monte Carlo study. Physica medica 2016;32:1271-1275. https://doi.org/10.1016/j.ejmp.2016.05.053