Image processing methodology for patient-specific instrument design
Autor: | Emin Faruk Kececi, Majid Mohammad Sadeghi |
---|---|
Rok vydání: | 2020 |
Předmět: |
030222 orthopedics
Preoperative planning business.industry Computer science Biophysics Reverse shoulder Image processing Patient specific Computer Science Applications 03 medical and health sciences 0302 clinical medicine Software Image Processing Computer-Assisted Software design Humans Surgery Instrumentation (computer programming) Instrument design Software engineering business 030217 neurology & neurosurgery |
Zdroj: | The international journal of medical robotics + computer assisted surgery : MRCAS. 16(6) |
ISSN: | 1478-596X |
Popis: | BACKGROUND Patient-specific instrumentation (PSI) improves accuracy of surgical operations. PSI needs software for preoperative planning and instrument design. In this study, we explain the methodology of developing a software tool for PSI guide design and preoperative planning in reverse shoulder arthroplasty (RSA). METHODS Approaches used to prepare input data, transform them into meaningful features and use of those features to create special guide geometries are explained by describing different algorithms and libraries. RESULTS The developed software is tested on three different patients' data. Preoperative planning is performed and guides designed by software and the patients' bones are manufactured and tested for RSA. The method of building a software is presented to do the preoperative planning and designing specific guides for each patient are shown to be properly functional. CONCLUSIONS This study proves processes in the development of the PSI software and the design of a specific guide for RSA. |
Databáze: | OpenAIRE |
Externí odkaz: |