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Area of Science:

  • Medical imaging
  • Surgical technology
  • Biomedical engineering

Background:

  • Computer-aided surgery (CAS) integrates diverse technologies for enhanced medical interventions.
  • A key challenge in CAS is adapting methods for deformable tissues, such as blood vessels, during endovascular procedures.
  • Existing CAS methods face difficulties with the introduction of rigid or flexible instruments into vessels.

Purpose of the Study:

  • To examine the application of CAS across three critical stages of endovascular surgery: sizing, planning, and intraoperative assistance.
  • To develop and validate an optimized approach for utilizing imaging data in CAS for endovascular interventions.
  • To enhance decision-making and procedural security in computer-aided endovascular surgery.

Main Methods:

  • Optimized integration of pre- and intraoperative imaging data.
  • Utilization of lightweight, user-transparent computer equipment.
  • Systematic analysis of CAS application in sizing, planning, and intraoperative assistance phases.

Main Results:

  • The proposed approach effectively leverages imaging data for endovascular procedures.
  • Lightweight computer systems provide necessary and sufficient information at critical junctures.
  • Enhanced information delivery aids surgical decision-making and improves procedural safety.

Conclusions:

  • Optimized use of imaging data with user-friendly technology is crucial for advancing computer-aided endovascular surgery.
  • This approach enhances the security and efficacy of endovascular interventions.
  • CAS can be effectively applied to deformable tissues, improving patient outcomes.