HARDWARE-ACCELERATED AUTOMATIC 3D NONRIGID IMAGE REGISTRATION

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dc.contributor.advisorShekhar, Rajen_US
dc.contributor.authorHemaraj, Yashwanthen_US
dc.contributor.departmentElectrical Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2007-06-22T05:37:28Z
dc.date.available2007-06-22T05:37:28Z
dc.date.issued2007-05-02
dc.description.abstractSoftware implementations of 3D nonrigid image registration, an essential tool in medical applications like radiotherapies and image-guided surgeries, run excessively slow on traditional computers. These algorithms can be accelerated using hardware methods by exploiting parallelism at different levels in the algorithm. We present here, an implementation of a free-form deformation-based algorithm on a field programmable gate array (FPGA) with a customized, parallel and pipelined architecture. We overcome the performance bottlenecks and gain speedups of up to 40x over traditional computers while achieving accuracies comparable to software implementations. In this work, we also present a method to optimize the deformation field using a gradient descent-based optimization scheme and solve the problem of mesh folding, commonly encountered during registration using free-form deformations, using a set of linear constraints. Finally, we present the use of novel dataflow modeling tools to automatically map registration algorithms to hardware like FPGAs while allowing for dynamic reconfiguration.en_US
dc.format.extent1779431 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6922
dc.language.isoen_US
dc.subject.pqcontrolledEngineering, Electronics and Electricalen_US
dc.subject.pqcontrolledHealth Sciences, Radiologyen_US
dc.subject.pqcontrolledHealth Sciences, Medicine and Surgeryen_US
dc.subject.pquncontrollednonrigid image registrationen_US
dc.subject.pquncontrolledmesh folding preventionen_US
dc.subject.pquncontrolledgradient descent based optimizationen_US
dc.subject.pquncontrolledmodel based mappingen_US
dc.subject.pquncontrolledFPGAen_US
dc.subject.pquncontrolledhardware acceleration,en_US
dc.titleHARDWARE-ACCELERATED AUTOMATIC 3D NONRIGID IMAGE REGISTRATIONen_US
dc.typeThesisen_US

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