Instructor: Giovanni Naldi
Project description
Computed tomography images are becoming an invaluable mean for abdominal organ investigation. In the field of medical image processing, some of the current interests are the automatic diagnosis of pathologies, and the 3D volume rendering of these abdominal organs. Their automatic segmentation is the first and fundamental step in all these studies, but it is still an open problem.
Also in the Radiotherapy planning for the treatment of cancer the geometrical information about the disposition of the structures of interest in a patient could increase the efficacy and risk assessment of the process.
The Problem
We would like to reconstruct 3D organ from CT slices. As a basic step we want to develop an automatic method in order to compute the 2D contour of the organ in each plane. As a working data we consider CT data of bladder adapted from Medical Physics Unit, Fondazione IRCCS Istituto Nazionale Tumori (Milano, Italy). The stack of all contours is the boundary of the 3D volume. The problem involves the following steps: reduce the original image, denoising of the image in order to have a first almost piecewise image, detecting the contour of the organ in the slice, collecting all the contours in order to reconstruct the organ volume.
For this project is expected to know basic facts about image processing, MATLAB programming, basic numerical algorithms for partial differential equations.
Preferred mathematical background: MATLAB programming, basic numerical algorithms for partial diﬀerential equations.
