Computer aided detection of lymph nodes in MR lymphography

From UMCN Radiology Research

Reliable determination of lymph node metastases is crucial in the management of prostate cancer. Detecting and assessing all lymph nodes is a laborious task, requiring extensive expertise and may not detect all lymph nodes. It is hypothesized that computer aided detection methods can aid radiologists in improving detection and shortening reading times.

Research topics are

• (semi-) automatic detection of lymph nodes
• training and assessing detected lymph nodes by machine learning techniques
• visualization for communication to surgeon
• image registration with CT for radiotherapy treatment planning.

This project is part of the larger research program Exploring the clinical value of novel high resolution anatomic, molecular and functional MR imaging in prostate cancer. The work is performed within the research group Computer Aided Diagnosis in close collaboration with the Clinical Research group on prostate cancer.

The researcher currently involved in this project is Debats, O