Simplified Method for FROC Observer Study to Evaluate the Diagnostic Accuracy of a Digital Breast Imaging System by Using a CDMAM Phantom

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• 关键词：FROC observer study ; CDMAM ; Digital mammography ; Jackknife free ; response receiver operating characteristic (JAFROC)
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9699
• 期：1
• 页码：83-88
• 全文大小：991 KB
• 参考文献：1.Bijkerk, K.R., Thijssen, M.A.O., Arnoldussen, T.H.J.M.: Modification of the CDMAM contrast-detail phantom for image quality of Full Field Digital Mammography systems. In: Yaffe, M. (ed.) Proceedings of IWDM 2000, pp. 633–640. Medical Physics Publishing, Madison (2000)
  2.Karssemeijer, N., Thijssen, M.A.O.: Determination of contrast-detail curves of mammography systems by automated image analysis. In: Proceedings of the 3rd International Workshop on Digital Mammography 1996, pp. 155–160 (1996)
  3.Veldkamp, W.J., Thijssen, M.A., Karssemeijer, N.: The value of scatter removal by a grid in full field digital mammography. Med. Phys. 30, 1712–1718 (2003)CrossRef
  4.Visser, R., Karssemeijer, N.: CDCOM Manual: software for automated readout of CDMAM 3.4 images. (note: CDCOM software, manual and sample images are posted at http://​www.​euref.​org )
  5.Young, K.C., Cook, J.J.H., Oduko, J.M., Bosmans, H.: Comparison of software and human observers in reading images of the CDMAM test object to assess digital mammography systems. In: Flynn, M.J., Hsieh, J. (eds.) Proceedings of SPIE Medical Imaging 2006, vol. 614206, pp. 1–13 (2006)
  6.Young, K.C., Alsager, A., Oduko, J.M., Bosmans, H., Verbrugge, B., Geerste, T., et al.: Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems. In: Proceedings of SPIE Medical Imaging 2008, vol. 69131C, pp. 1–10 (2008)
  7.Figl, M., Hoffmann, R., Kaar, M., Semturs, F., Brasik, N., Birkfellner, W., et al.: Factors for conversion between human and automatic read-outs of CDMAM images. Med. Phys. 38, 5090–5093 (2011)CrossRef
  8.Delakis, I., Wise, R., Morris, L., Kulama, E.: Performance evaluation of contrast-detail in full field digital mammography systems using ideal (Hotelling) observer vs. conventional automated analysis of CDMAM images for quality control of contrast-detail characteristics. Phys. Med. 31, 741–746 (2015)CrossRef
  9.Chakraborty, D.P., Berbaum, K.S.: Observer studies involving detection and localization: modeling, analysis, and validation. Med. Phys. 31, 2313–2330 (2004)CrossRef
  10.European Commission (EC): 2006 European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis, 4th edn. Office for Official Publications of the European Communities, Luxembourg (2006)
  11.Shiraishi, J., Fukuoka, D., Hara, T., Abe, H.: Basic concepts and development of an all-purpose computer interface for ROC/FROC observer study. Radiol. Phys. Technol. 6(1), 35–41 (2013)CrossRef
  12.Oberhofer, N., Paruccini, N., Moroder, E.: Image quality assessment and equipment optimisation with automated phantom evaluation in Full Field Digital Mammography (FFDM). In: Krupinski, E.A. (ed.) IWDM 2008. LNCS, vol. 5116, pp. 235–242. Springer, Heidelberg (2008)CrossRef
  
• 作者单位：Rie Tanaka (16)
  Fujiyo Akita (17)
  Daisuke Fukuoka (18)
  Yusuke Bamba (19)
  Junji Shiraishi (20)
  
  16. School of Health Sciences, College of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
  17. Department of Diagnostic Imaging, Shizuoka Cancer Center, Sunto-gun, Japan
  18. Department of Technology Education, Faculty of Education, Gifu University, Gifu, Japan
  19. R&D, Visual Technologies (ASIC), EIZO Corporation, Hakusan, Japan
  20. Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
  
• 丛书名：Breast Imaging
• ISBN：978-3-319-41546-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9699

文摘

We propose a simplified method for performing an FROC observer study by using regions of interest (ROIs) of CDMAM phantom images as case sample images. This new method would help researchers to plan and perform FROC observer studies in shorter time, with smaller errors and reduced complexity. As examples of experimental procedure, the digital images obtained by a direct-conversion flat-panel detector (FPD) system in three imaging conditions with different levels of patient dose were used to compare the diagnostic accuracies for low-contrast signal detection. There was a high correlation between the average figure of merit (FOM) obtained by our proposed method and inverse image quality figure (inv. IQF) calculated by CDMAM Analyser 1.55 in each dose level (r = 0.98).