DaCoupledCurvesSegmentation

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

Diplomarbeit / Masterarbeit / Bachelor thesis (DA/MA/BA): Coupled Curves Segmentation

[Subtitle]
Thesis by:
Advisor: Professor Nassir Navab
Supervision by: Abouzar Eslami, Athanasios Karamalis

Abstract

The term of coupled curves refers to two or more boundaries bounded biomechanically or anatomically. Some examples are luminal and outer borders of the vessel in intravascular ultrasound images, the myocardial borders of heart in different cardiac modalities like Echocardiography and MRI, retinal layers in optical coherent tomography of eye etc. Coupling these boundaries and taking into account their interdependency efficiently assists segmentation of weaker boundaries by the guide of stronger ones.

This project is an extension to our recently developed segmentation approaches by modifying the formulation to segment coupled curves. The primary deliverable is segmentation of double boundaries and can be followed to the secondary deliverable, i.e. segmentation of multiple boundaries depending on the performance of the researcher. Platform of the project is visual programing with mevislab. Preferred coding language is C++ Nevertheless matlab coding can be used for development. There are plenty of applications to the segmentation of coupled curves in medical image processing and the project has significant contribution with high impact to the community.

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Requirements

  • MATLAB and/or C++ knowledge
  • Interest in medical image segmentation.

What do we offer

  • Experience different fields of research in Medical Image Segmentation: Computer Vision, Visualization, Software Engineering.
  • A possibility of solving a still-pending clinical problem.
  • Your thesis and degree. (and also submission to prestigious conferences/journals depending on student performance)

Contact

If you are interested please contact Abouzar Eslami


ProjectForm
Title: Coupled Curves Segmentation
Abstract: The term of coupled curves refers to two or more boundaries bounded biomechanically or anatomically. Some examples are luminal and outer borders of the vessel in intravascular ultrasound images, the myocardial borders of heart in different cardiac modalities like Echocardiography and MRI, retinal layers in optical coherent tomography of eye etc. Coupling these boundaries and taking into account their interdependency efficiently assists segmentation of weaker boundaries by the guide of stronger ones. This project is an extension to our recently developed segmentation approaches by modifying the formulation to segment coupled curves. The primary deliverable is segmentation of double boundaries and can be followed to the secondary deliverable, i.e. segmentation of multiple boundaries depending on the performance of the researcher. Platform of the project is visual programing with mevislab. Preferred coding language is C++ Nevertheless matlab coding can be used for development. There are plenty of applications to the segmentation of coupled curves in medical image processing and the project has significant contribution with high impact to the community.
Student:  
Director: Nassir Navab
Supervisor: Abouzar Eslami; Athanasios Karamalis
Type: DA/MA/BA
Area:  
Status: draft
Start: 20/1/2012
Finish:  
Thesis (optional):  
Picture:  


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