Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
courses:456:2023:projects:456-2023-07:project-07 [2023/05/15 17:28] โ€“ [Result and Discussion] zshe1courses:456:2023:projects:456-2023-07:project-07 [2023/05/15 17:31] (current) โ€“ [Real-time Integration of 2D-3D Pelvic Registration with Robotic X-ray Acquisition] zshe1
Line 1: Line 1:
 ======Real-time Integration of 2D-3D Pelvic Registration with Robotic X-ray Acquisition====== ======Real-time Integration of 2D-3D Pelvic Registration with Robotic X-ray Acquisition======
-**Last updated: 2023/2/9**+**Last updated: 2023/5/15**
  
  
Line 144: Line 144:
  
 ======Conclusion and future work====== ======Conclusion and future work======
 +In conclusion, our key contributions in this project includes:
 +      We have successfully built a new unified and modularized architecture in Python that provides developer interfaces for future modularization and development.
 +     - By integrating SyntheX and xReg into our program, we have demonstrated our program's compatibility and effectiveness, and have highlighted the potential for its use in a wide range of medical imaging applications.
 +     - The package can be easily installed and utilized with simple terminal commands, making it accessible to users of different levels.
 +  To ensure that users can effectively leverage the package to accelerate their research, we have created detailed documentation for both SyntheX and XREGI. This documentation provides users with the necessary resources to effectively use the package.
  
 +In the future, we will keep maintaining XREGI and make it more versatile. We seek to incorporating our implementation with robotics medical imaging platforms to realize real-time image acquisition and registration. Moreover, we plan to employ the registration result derived by XREGI in mixed reality area, such as the use of HoloLens, to facilitate its clinical applications in intraoperative processes. Additionally, we plan to submit our work to a peer-reviewed conference or journal to further validate the effectiveness and potential of our package.
 ======Dependencies====== ======Dependencies======
 {{ :courses:456:2023:projects:456-2023-07:depe2.png?600 |}} {{ :courses:456:2023:projects:456-2023-07:depe2.png?600 |}}
courses/456/2023/projects/456-2023-07/project-07.1684171701.txt.gz ยท Last modified: by zshe1




ERC CISST    LCSR    WSE    JHU