Urographical Analysis of 4D-MR Images

This project is a continuation of my bachelor thesis. The abstract of which can be found here (PDF).


The software passes four stages:

1. Segmentation
First, the kidneys have to be detected from the surrounding tissue. This is done by matching the voxel signals to a reference signal from different kidney parts. The matching yields a correlation coefficient for each voxel (from which it is possible to create heatmaps):

Right Kidney - Collecting System
Right Kidney - Cortex
2. Filteringfiltered
This step aims to clean up the segmentation from the previous step and generate a useful 3D model of the kidney.
3. Analysis


The analysis step evaluates flow rates in each part of the kidney. This is done using two techniques called Area-under-the-curve method1 and the Rutland-Patlak method2.

4. Results & Report
1 Tofts, P. S. (2010). T1-weighted DCE Imaging Concepts : Modelling , Acquisition and Analysis. MAGNETOM Flash, 1–5
2 Hackstein, N., Heckrodt, J., & Rau, W. S. (2003). Measurement of Single-Kidney Glomerular Filtration Rate Using a Contrast-Enhanced Dynamic Gradient-Echo Sequence and the Rutland-Patlak Plot Technique. Journal of Magnetic Resonance Imaging, 18(6), 714–725.

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