EPSRC Reference: |
GR/M52847/01 |
Title: |
AUTOMATIC GENERATION OF 3D ANATOMICAL MODELS:TRANING & DECISION MAKING IN KEYHOLE VASCULAR INTERVENTION |
Principal Investigator: |
Berry, Dr E |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Medicine |
Organisation: |
University of Leeds |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 July 1999 |
Ends: |
31 August 2001 |
Value (£): |
145,537
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EPSRC Research Topic Classifications: |
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EPSRC Industrial Sector Classifications: |
No relevance to Underpinning Sectors |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The minimally invasive procedure for endovascular repair of abdominal aortic aneurysms (AAA) is rapidly diffusing from a few specialist centres. Patient assessment for the procedure is a three-step process (also AAA: Access, Anchorage, Adequate). For Access the size, path and composition of the vessels must be suitable; for Anchoring an endovascular device there must be sufficient healthy vessel wall and an Adequate blood supply to the digestive organs must be available after device deployment. If the procedure is feasible (as it may be for only 10% of patients assessed), measurements are made to find the size of the endovascular device required. We shall develop an automated segmentation and measurement tool to support this pre-procedure process. The segmentation results will also be applied to enhance an existing prototype simulator for training and planning. The new segmentation methodology develops our existing 3D deformable model for branching anatomy. The enhancements are:1) Inclusion of knowledge from anatomical date2) Addition of further image-based parameters and,3) A surface optimisation stage to remove errors.Validation is an essential part of the project, and tools will be developed and applied to validate the segmentation results and the tools for patient assessment and stent design.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.leeds.ac.uk |