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Using GPGPU in MR Data Processing
Mikulka, J. ; Slíž, J. ; Bartušek, Karel
The main tissue parameters targeted by MR tomography include, among others, relaxation times T-1 and T-2. This paper focuses on the computation of the relaxation time T-2 measured with the Spin Echo method. The maxima of measured echoes must be interleaved with an exponential function to compute the T2 relaxation. As this procedure needs to be repeated for each pixel of the scanned tissue, the processing of large images then becomes very intensive. This paper introduces the results provided by accelerated computation based on parallelization and carried out with a graphics card. By using the simple method of linear regression, we obtain a processing time of less than 36 ms. In the case of the Levenberg-Marquardt algorithm, the reconstruction was done in 96 ms. This period is at least 900 times shorter than that achievable with professional software.
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Statistics-based Diagnostics of Brain Tumors
Marcon, P. ; Bartušek, Karel ; Dohnal, P. ; Širůčková, K.
Currently, the increasing number of reported cancer cases has become a serious indicator of persisting low curability rates characterizing certain prominent diseases. An early tumor diagnosis constitutes a vital prerequisite for any potentially successful therapy, in this context, the present paper discusses the improvement of accuracy in the overall diagnostics related to brain tumors. The proposed measures include, for example, maximizing the use of image modifications and decreasing the radiation doses received by a patient's body. The wider project is centered on the diagnostics of pathological tissues in the brain, it describes and compares the classification and identification of particular brain tumors. For the given purpose, images were acquired via magnetic resonance tomography.
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