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Acceleration of medical imaging algorithms using programmable graphics hardware [Elektronische Ressource] / Thomas Schiwietz

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Institutfur¨ InformatikTechnischeUniversitat¨ Munchen¨AccelerationofMedicalImagingAlgorithmsUsingProgrammableGraphicsHardwareThomas SchiwietzVollstandiger¨ Abdruck der von der Fakultat¨ fur¨ Informatik der Technischen Universitat¨Munchen¨ zur Erlangung des akademischen Grades einesDoktorderNaturwissenschaften(Dr. rer. nat.)genehmigten Dissertation.Vorsitzender: Univ.-Prof. Nassir Navab, Ph.D.Prufer¨ der Dissertation: 1. Univ.-Prof. Dr. Rudiger¨ Westermann2. Univ.-Prof. Dr. Bernhard Preim,Otto-von-Guericke-Universitat¨ MagdeburgDie Dissertation wurde am 30.01.2008 bei der Technischen Universitat¨ Munchen¨eingereicht und durch die Fakultat¨ fur¨ Informatik am 21.05.2008 angenommen.To my family and friendsAbstractThis thesis presents acceleration techniques for medical imaging algorithms. The rapiddevelopment of medical scanning devices produces huge amounts of raw data. Onthe one hand, high-resolution images can be computed from the raw data and, thus,providing the physicians better basis for diagnosis. On the other hand, the amount ofraw data leads to longer processing times. About three years ago, graphics processingunits (GPUs) have become programmable and can be used for other tasks than graphics.GPUs are very suitable for medical imaging algorithms – they are fast, relatively cheap,the instruction set is powerful enough for many of algorithms, and with standard APIseasy to program.

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Published 01 January 2008
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Language English
Document size 8 MB