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Objective: The present study developed a user-centered 3D virtual liver surgery planning (VLSP) system called Dr. Liver to provide preoperative information for safe and rational surgery.
Background: Preoperative 3D VLSP is needed for patients" safety in liver surgery. Existing systems either do not provide functions specialized for liver surgery planning or do not provide functions for cross-check of the accuracy of analysis results.
Method: Use scenarios of Dr. Liver were developed through literature review, benchmarking, and interviews with surgeons. User interfaces of Dr. Liver with various user-friendly features (e.g., context-sensitive hotkey menu and 3D view zavigation box) was designed. Novel image processing algorithms (e.g., hybrid semi-automatic algorithm for liver extraction and customized region growing algorithm for vessel extraction) were developed for accurate and efficient liver surgery planning. Usability problems of a preliminary version of Dr. Liver were identified by surgeons and system developers and then design changes were made to resolve the identified usability problems.
Results: A usability testing showed that the revised version of Dr. Liver achieved a high level of satisfaction (6.1 ± 0.8 out of 7) and an acceptable time efficiency (26.7 ± 0.9 min) in liver surgery planning.
Conclusion: Involvement of usability testing in system development process from the beginning is useful to identify potential usability problems to improve for shortening system development period and cost.
Application: The development and evaluation process of Dr. Liver in this study can be referred in designing a user-centered system.
Background: Preoperative 3D VLSP is needed for patients" safety in liver surgery. Existing systems either do not provide functions specialized for liver surgery planning or do not provide functions for cross-check of the accuracy of analysis results.
Method: Use scenarios of Dr. Liver were developed through literature review, benchmarking, and interviews with surgeons. User interfaces of Dr. Liver with various user-friendly features (e.g., context-sensitive hotkey menu and 3D view zavigation box) was designed. Novel image processing algorithms (e.g., hybrid semi-automatic algorithm for liver extraction and customized region growing algorithm for vessel extraction) were developed for accurate and efficient liver surgery planning. Usability problems of a preliminary version of Dr. Liver were identified by surgeons and system developers and then design changes were made to resolve the identified usability problems.
Results: A usability testing showed that the revised version of Dr. Liver achieved a high level of satisfaction (6.1 ± 0.8 out of 7) and an acceptable time efficiency (26.7 ± 0.9 min) in liver surgery planning.
Conclusion: Involvement of usability testing in system development process from the beginning is useful to identify potential usability problems to improve for shortening system development period and cost.
Application: The development and evaluation process of Dr. Liver in this study can be referred in designing a user-centered system.
목차
1. Introduction
2. System Development
3. Usability Testing
4. Discussion
References
참고문헌 (17)
참고문헌 신청
Chen, Y.-W., Kaibori, M., Shindo, T., Miyawaki, K., Foruzan, A.H., Tateyama, T., Han, X.-H., Matsui, K., Tsuda, T. and Kwon, A-H., Computer-aided liver surgical planning system using CT volumes. In: Proceedings of International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, pp. 2360-2363, 2013.
Couinaud, C., Le foie: Etudes anatomiques et chirurgicales. Masson, Paris, France, 1957.
Debarba, H.G., Zanchet, D.J., Fracaro, D., Maciel, A. and Kalil, A.N., Efficient liver surgery planning in 3D based on functional segment classification and volumetric information. In: Proceedings of 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, NY, IEEE Engineering in Medicine and Biology Society, pp. 4797-4800, 2010.
Ferrero, A., Vigano, L., Polastri, R., Muratore, A., Eminefendic, H., Regge, D. and Capussotti, L., Postoperative liver dysfunction and future remnant liver: where is the limit? Results of a prospective study. World Journal of Surgery, 31(8), 1643-1651, 2007.
Hsu, C.-Y., Yang, C.-H. and Wang, H.-C., Multi-threshold level set model for image segmentation. EURASIP Journal on Advances in Signal Processing, 1-9, 2010.
Debarba, H.G., Zanchet, D.J., Fracaro, D., Maciel, A. and Kalil, A.N., Efficient liver surgery planning in 3D based on functional segment classification and volumetric information. In: Proceedings of 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, NY, IEEE Engineering in Medicine and Biology Society, pp. 4797-4800, 2010.
Ferrero, A., Vigano, L., Polastri, R., Muratore, A., Eminefendic, H., Regge, D. and Capussotti, L., Postoperative liver dysfunction and future remnant liver: where is the limit? Results of a prospective study. World Journal of Surgery, 31(8), 1643-1651, 2007.
Hsu, C.-Y., Yang, C.-H. and Wang, H.-C., Multi-threshold level set model for image segmentation. EURASIP Journal on Advances in Signal Processing, 1-9, 2010.
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UCI(KEPA) : I410-ECN-0101-2018-020-000866316