IEEE Trans Image Process - Fast model-based X-ray CT reconstruction using spatially nonhomogeneous ICD optimization.

Tópicos

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Resumo

Recent applications of model-based iterative reconstruction (MBIR) algorithms to multislice helical CT reconstructions have shown that MBIR can greatly improve image quality by increasing resolution as well as reducing noise and some artifacts. However, high computational cost and long reconstruction times remain as a barrier to the use of MBIR in practical applications. Among the various iterative methods that have been studied for MBIR, iterative coordinate descent (ICD) has been found to have relatively low overall computational requirements due to its fast convergence. This paper presents a fast model-based iterative reconstruction algorithm using spatially nonhomogeneous ICD (NH-ICD) optimization. The NH-ICD algorithm speeds up convergence by focusing computation where it is most needed. The NH-ICD algorithm has a mechanism that adaptively selects voxels for update. First, a voxel selection criterion VSC determines the voxels in greatest need of update. Then a voxel selection algorithm VSA selects the order of successive voxel updates based upon the need for repeated updates of some locations, while retaining characteristics for global convergence. In order to speed up each voxel update, we also propose a fast 1-D optimization algorithm that uses a quadratic substitute function to upper bound the local 1-D objective function, so that a closed form solution can be obtained rather than using a computationally expensive line search algorithm. We examine the performance of the proposed algorithm using several clinical data sets of various anatomy. The experimental results show that the proposed method accelerates the reconstructions by roughly a factor of three on average for typical 3-D multislice geometries.

Resumo Limpo

recent applic modelbas iter reconstruct mbir algorithm multislic helic ct reconstruct shown mbir can great improv imag qualiti increas resolut well reduc nois artifact howev high comput cost long reconstruct time remain barrier use mbir practic applic among various iter method studi mbir iter coordin descent icd found relat low overal comput requir due fast converg paper present fast modelbas iter reconstruct algorithm use spatial nonhomogen icd nhicd optim nhicd algorithm speed converg focus comput need nhicd algorithm mechan adapt select voxel updat first voxel select criterion vsc determin voxel greatest need updat voxel select algorithm vsa select order success voxel updat base upon need repeat updat locat retain characterist global converg order speed voxel updat also propos fast d optim algorithm use quadrat substitut function upper bound local d object function close form solut can obtain rather use comput expens line search algorithm examin perform propos algorithm use sever clinic data set various anatomi experiment result show propos method acceler reconstruct rough factor three averag typic d multislic geometri

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