DaAnatomicalLandmarkDetect

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

Automatic Anatomical Landmark Detection

Advisor: Nassir Navab
Supervision by: Dr. Lichao Wang

* Example Cardiac Landmarks in MRIs:
Example Cardiac Landmarks in MRIs

Overview

Fast and accurate detection of anatomical landmarks is highly desired for both clinical decision-making and higher-level image processing algorithms. This project aims at building a fully automatic method for such a purpose. The main methods that will be explored include image registration and machine learning.

If you are interested please send your updated CV (including practical project experience) to Dr. Lichao Wang. If you have worked with any other people from the chair, please also include them as references.

Requirements

  • Experience of image processing and machine learning is required.
  • Good experience with C++ is required.
  • Experience with Matlab is preferred.


Students.ProjectForm
Title: Master IDP: Automatic Anatomical Landmark Detection
Abstract: Fast and accurate detection of anatomical landmarks is highly desired for both clinical decision-making and higher-level image processing algorithms. This project aims at building a fully automatic method for such a purpose. The main methods that will be explored include image registration and machine learning.
Student:  
Director: Prof. Dr. Nassir Navab
Supervisor: Dr. Lichao Wang
Type: IDP
Area:  
Status: finished
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.3 - 02 Jan 2019 - 11:43 - TobiasLasser