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#مشاريع_التخرج
Reconstruction and segmentation of 2D medical images, such as CT or MRI scans, have become increasingly important in surgical planning and intervention. The process involves the conversion of raw image data into a 3D model, which can be used to visualize the anatomy and pathology of a patient's tissues and organs. This 3D model can also be segmented to isolate specific structures or regions of interest, such as tumors or blood vessels.

Surgical planning using 3D models allows for greater accuracy and precision, reducing the risk of complications and improving patient outcomes. Surgeons can use the model to simulate the surgical procedure and plan the optimal approach, as well as to practice and refine their technique. In addition, the model can be used to guide surgical navigation during the procedure itself, providing real-time feedback and improved visualization.

However, the process of reconstructing and segmenting 2D images can be complex and time-consuming, requiring specialized software and expertise. Furthermore, the accuracy and quality of the model depend on various factors, such as the quality of the original images and the segmentation algorithm used. Despite these challenges, the potential benefits of 3D surgical planning and guidance make it a valuable tool for improving patient care and outcomes.

فيديو مشروع التخرج
   • July 25, 2023  

اعضاء التيم
يوسف القرشي نظير يوسف
مصطفى عماد مصطفى هلال
روان محمد السيد شامخ
يسرا محمد عبدالعليم محمد
ندى هشام محمد مدين
ريم عبدالغنى عباس عطوه