Lung volume estimation based on chest X-ray images

OData support
Supervisor:
Dr. Horváth Gábor
Department of Measurement and Information Systems

The thesis is divided to four parts; each of these sections builds upon the results of the previous ones. The first part describes the problem, and sets the goals for the thesis. The second part describes a CT reconstruction algorithm (SART), with it's background theory and implementation. The role of reconstruction algorithms is to merge ordinary X-ray chest radiographs into a pseudo-3D voxel array. The implementation uses classic GPGPU approach with the Microsoft DirectX 11 API to achieve acceptable performance (for clinical use).

The third part describes a segmentation method, which will be capable of segmenting the lungs in the voxel array. It will use a Level Set Method based approach. One advantage of the Level Set Method approach, that it could be generalized to 3D volumes with the same algorithmic complexity as the 2D (slice-by-slice) approach.

The fourth part will describe the algorithm which is capable of measuring the lung volume based on the segmentation of the previous algorithm.

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