SepFeldmar

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Systementwicklungsprojekt: 2D/3D Registration using ICP and Bitangent Invariants

Thesis by:
Advisor: Nassir Navab
Supervision by: Martin Groher
Due date:

Abstract

Registration of 2D medical images to 3D volumes of a patient is a crucial issue for locating injected instruments in 3D and helping an operating physician to guide a way through the patient’s anatomy. An algorithm shall be developed to register extracted blood vessels from 2D and 3D images represented as 2D and 3D curves. This can be achieved by using an Iterative Closest Point (ICP) algorithm adapted to the 2D-3D projective case. The work includes following steps:
  • Implementation of projective invariants and a MatchFinder using these
  • Implementation of an ICP procedure
  • Testing the algorithm on curve data from Computed Tomography Images and X-Ray projections




a 2D and 3D curve extracted from X-ray and Computed Tomography Data

Resources

Literature

[Jacques Feldmar, Nicholas Ayache, Fabienne Betting: 3D-2D Projective Registration of Free-Form Curves and Surfaces, INRIA Technical Report no 2434, France, 1994]


Students.ProjectForm
Title: 2D/3D Registration using ICP and Bitangent Invariants
Abstract: Registration of 2D medical images to 3D volumes of a patient is a crucial issue for locating injected instruments in 3D and helping an operating physician to guide a way through the patient’s anatomy. An algorithm shall be developed to register extracted blood vessels from 2D and 3D images represented as 2D and 3D curves. This can be achieved by using an Iterative Closest Point (ICP) algorithm adapted to the 2D-3D projective case.
Student:  
Director: Nassir Navab
Supervisor: Martin Groher
Type: SEP
Area:  
Status: draft
Start:  
Finish:  


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 09 Jan 2008 - 14:20 - MartinGroher