Multiresolution Reconstruction for Cone-Beam Tomography from Raw Data Projections Using 3D Ridgelets

被引：0
作者：
Francisco Gómez
Cristina Santa Marta
Eduardo Romero
机构：
[1] Universidad Nacional de Colombia,Bioingenium Research Group, Cra 30 No 45 03
[2] Universidad Nacional de Educación a Distancia,Ciudad Universitaria, Facultad de Medicina
[3] National University of Colombia,Departamento de Física Matemática y Fluidos, Facultad de Ciencias
来源：
Journal of Digital Imaging | 2011年 / 24卷
关键词：
Computed tomography; 3D ridgelet; Spherical wavelets;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a novel method which reconstructs any desired 3D image resolution from raw cone-beam CT data. X-ray attenuation through the object is approximated using ridgelet basis functions which allow us to have multiresolution representation levels. Since the Radon data have preferential orientations by nature, a spherical wavelet transform is used to compute the ridgelet coefficients from the Radon shell data. The whole method uses the classical Grangeat’s relation for computing derivatives of the Radon data which are then integrated and projected to a spherical wavelet representation and back-reconstructed using a modified version of the well known back-projection algorithm. Unlike previous reconstruction methods, this proposal uses a multiscale representation of the Radon data and therefore allows fast display of low-resolution data level.
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收藏
页码：1087 / 1095
页数：8
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