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Медико-биологические дисциплины          Автор Sarah M.          Издательство Книга по Требованию

Diffusion Simulation Based Tracking. And Optimized Gradient Encoding Schemes For Diffusion Magnetic Resonance Imaging
192 стр. мягкая обложка

автор:Sarah M.
издательство: Книга по Требованию
цена:3619 руб
- нет в наличии

A new diffusion simulation based fiber tracking method that uses time-of- arrival maps to reconstruct the tracts is presented. Classical methods cannot handle voxels that contain multiple fiber orientations, for example fiber crossings. More advanced diffusion models, such as higher order tensors require extensive measurement time for the data acquisition. This method is able to solve problems of the commonly used methods. The results show, that 21 directions are the minimal required number of encoding directions for the higher order tensor hierarchy model and that the paired off force minimizing gradient encoding scheme is the best all purpose scheme for diffusion evaluation with second or higher order tensor models. For the reconstruction of the course of neuronal fibers, fiber tracking methods were developed. DTI allows the distinction of matter anatomy, because the measured diffusion is stronger in parallel with boundaries; such as for example cell membranes. To reduce this time, the required number of encoding directions and the distribution of the directions for higher order tensor estimations was investigated and evaluated with several quality measures.

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Real-Time Concepts for Embedded Systems

Before any memory has been allocated, one large free block is present, which consists of all 12 units of available memory. The allocation array uses a simple encoding scheme to keep track of allocated and free blocks of memory. To indicate a range of contiguous free blocks, a positive number is placed in the first and last entry representing the range. This number is equal to the number of free blocks in the range. For example, in the first array shown on the left, the number of free units (12 in this case) is placed in the entries at index 0 and index 11. Placing a negative number in the first entry and a zero in the last entry indicates a range of allocated blocks. The number placed in the first entry is equal to -1 times the number of allocated blocks. In this example, the first allocation request is for three units. The array labeled 1 in Figure 13.3 represents the state of the allocation array after this first allocation request is made. The value of -3 at index 9 and the value of 0 at index 11 marks the range of the allocated block ...

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