X-ray micro-CT with a displaced detector array: Application to helical cone-beam reconstruction

2003 ◽  
Vol 30 (10) ◽  
pp. 2758-2761 ◽  
Author(s):  
Vinson Liu ◽  
Nicholas R. Lariviere ◽  
Ge Wang
1999 ◽  
Vol 5 (S2) ◽  
pp. 940-941
Author(s):  
Shih Ang ◽  
Wang Ge ◽  
Cheng Ping-Chin

Due to the penetration ability and absorption contrast mechanism, cone-beam X-ray microtomography is a powerful tool in studying 3D microstructures in opaque specimens. In contrast to the conventional parallel and fan-beam geometry, the cone-beam tomography set up is highly desirable for faster data acquisition, build-in magnification, better radiation utilization and easier hardware implementation. However, the major draw back of the cone-beam reconstruction is its computational complexity. In an effort to maximize the reconstruction speed, we have developed a generalized Feldkamp cone-beam reconstruction algorithm to optimize the reconstruction process. We report here the use of curved voxels in a cylindrical coordinate system and mapping tables to further improve the reconstruction efficiency.The generalized Feldkamp cone-beam image reconstruction algorithm is reformulated utilizing mapping table in the discrete domain as: , where .


2015 ◽  
Vol 9 (1) ◽  
pp. 60-68 ◽  
Author(s):  
Nobuyuki Miyahara ◽  
Toshiaki Kokubo ◽  
Yukihiro Hara ◽  
Ayuta Yamada ◽  
Takafumi Koike ◽  
...  

2009 ◽  
Vol 2009 ◽  
pp. 1-9 ◽  
Author(s):  
Shouping Zhu ◽  
Jie Tian ◽  
Guorui Yan ◽  
Chenghu Qin ◽  
Jinchao Feng

A prototype cone-beam micro-CT system for small animal imaging has been developed by our group recently, which consists of a microfocus X-ray source, a three-dimensional programmable stage with object holder, and a flat-panel X-ray detector. It has a large field of view (FOV), which can acquire the whole body imaging of a normal-size mouse in a single scan which usually takes about several minutes or tens of minutes. FDK method is adopted for 3D reconstruction with Graphics Processing Unit (GPU) acceleration. In order to reconstruct images with high spatial resolution and low artifacts, raw data preprocessing and geometry calibration are implemented before reconstruction. A method which utilizes a wire phantom to estimate the residual horizontal offset of the detector is proposed, and 1D point spread function is used to assess the performance of geometric calibration quantitatively. System spatial resolution, image uniformity and noise, and low contrast resolution have been studied. Mouse images with and without contrast agent are illuminated in this paper. Experimental results show that the system is suitable for small animal imaging and is adequate to provide high-resolution anatomic information for bioluminescence tomography to build a dual modality system.


1998 ◽  
Vol 43 (4) ◽  
pp. 929-940 ◽  
Author(s):  
Roger H Johnson ◽  
Hui Hu ◽  
Steven T Haworth ◽  
Paul S Cho ◽  
Christopher A Dawson ◽  
...  

1990 ◽  
Vol 217 ◽  
Author(s):  
P. Sire ◽  
P. Grangeat ◽  
P. Lemasson ◽  
P. Mélennec ◽  
P. Rizo

ABSTRACTThe paper describes our 3D X-ray CT algorithm “RADON” using attenuation measurements acquired with a bidimensional detector. Our inversion diagram uses the first derivative of the Radon transform synthesis then its inversion. The potentiality of that new method, particularly for the large aperture, prompted us to develop an optimized software offering convenience and high performances on a modem scientific computer. After a brief recall of the basic principle of X-ray imaging processing, we will introduce the theoretical developments resulting in the present inversion diagram. A general algorithm structure will be proposed afterwards. As a conclusion we will present the performances and the results obtained with ceramic rotors examination.


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