|
|
MRI Data Processing Acceleration on GPU
Kešner, Filip ; Nečas, Ondřej (referee) ; Polok, Lukáš (advisor)
This BSc Thesis was performed during a study stay at the Universita della Svizzera italiana, Swiss. The identification of trajectories of neuron fibres within the human brain is of great importance in many medical applications as the neural diagnostics, neuronavigation, treatment of epilepsy, surgical removal of tumors and etc. By using diffusion MRI-data as input, and by employing Monte-Carlo like methods, possible trajectories are generated and the most likely ones can be visualized. These can serve as input for advanced medical diagnosis and treatments. Due to the huge amount of data to be analyzed and many iterations, this is a time consuming process. For the purposes such as statistical analysis and comparsion over several datasets or several patients, computational time requirements are enourmous. Faster diagnosis can improve routine throughput and provide earlier treatment of illness. At this time, there exists only a very few implementations of neural tractography sof tware. For probabilistic neural tractography is the list of software even thiner. Today's implementations using standard serial CPU execution suffer from high time consumption. The goal is to provide an efficient implementation which makes use of GPGPUs and exploits parallelism in the method. For the GPU implementation, a comparsion of CUDA and OpenCL technologies will be provided, using the more suitable one.
|
|
|
Software for retinal image processing
Magula, Filip ; Fiala, Jiří (referee) ; Kolář, Radim (advisor)
This thesis deals with practical solutions of software for retinal images digital processing. The theoretic part describes human eye and retinal anatomy and also glaucoma disease. It is also focused on description of method for retinal nerve fiber layer enhancement and analysis. These enhancement are then used for designing of automated image processing. One chapter is devoted to detection and analysis of retinal nerve fibers layer. The practical part includes the user manual for application Image Blockz, which was established within this thesis. Further practical part contains the programmer's manual describing the basic structure of the program and its possible extensions.
|
|
|
MRI Data Processing Acceleration on GPU
Kešner, Filip ; Nečas, Ondřej (referee) ; Polok, Lukáš (advisor)
This BSc Thesis was performed during a study stay at the Universita della Svizzera italiana, Swiss. The identification of trajectories of neuron fibres within the human brain is of great importance in many medical applications as the neural diagnostics, neuronavigation, treatment of epilepsy, surgical removal of tumors and etc. By using diffusion MRI-data as input, and by employing Monte-Carlo like methods, possible trajectories are generated and the most likely ones can be visualized. These can serve as input for advanced medical diagnosis and treatments. Due to the huge amount of data to be analyzed and many iterations, this is a time consuming process. For the purposes such as statistical analysis and comparsion over several datasets or several patients, computational time requirements are enourmous. Faster diagnosis can improve routine throughput and provide earlier treatment of illness. At this time, there exists only a very few implementations of neural tractography sof tware. For probabilistic neural tractography is the list of software even thiner. Today's implementations using standard serial CPU execution suffer from high time consumption. The goal is to provide an efficient implementation which makes use of GPGPUs and exploits parallelism in the method. For the GPU implementation, a comparsion of CUDA and OpenCL technologies will be provided, using the more suitable one.
|
|
|
Software for retinal image processing
Magula, Filip ; Fiala, Jiří (referee) ; Kolář, Radim (advisor)
This thesis deals with practical solutions of software for retinal images digital processing. The theoretic part describes human eye and retinal anatomy and also glaucoma disease. It is also focused on description of method for retinal nerve fiber layer enhancement and analysis. These enhancement are then used for designing of automated image processing. One chapter is devoted to detection and analysis of retinal nerve fibers layer. The practical part includes the user manual for application Image Blockz, which was established within this thesis. Further practical part contains the programmer's manual describing the basic structure of the program and its possible extensions.
|
guest ::
