An efficient algorithm to compute the X-ray transform
Chen, Chong2; Wang, Runqian3; Bajaj, Chandrajit4; Oktem, Ozan1
刊名INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
2021-08-31
页码19
关键词X-ray transform intersection length projection matrix non-vanishing intersectability ambiguity and flexibility tomographic image reconstruction
ISSN号0020-7160
DOI10.1080/00207160.2021.1969017
英文摘要We propose a new algorithm to compute the X-ray transform of an image represented by unit (pixel/voxel) basis functions. The fundamental task is equivalently calculating the intersection lengths of the ray with associated units. For the given ray, we derive the sufficient and necessary condition for non-vanishing intersectability. By this condition, we can distinguish the units that produce valid intersections with the ray. Only for those units, we calculate the intersection lengths by the obtained analytic formula. The proposed algorithm is adapted to various two-dimensional (2D)/three-dimensional (3D) scanning geometries, and its several issues are also discussed, including the intrinsic ambiguity, flexibility, computational cost and parallelization. The proposed method is fast and easy to implement, more complete and flexible than the existing alternatives with respect to different scanning geometries and different basis functions. Finally, we validate the correctness of the algorithm.
资助项目Beijing Natural Science Foundation[Z180002] ; Swedish Foundation of Strategic Research[AM13-0049]
WOS研究方向Mathematics
语种英语
出版者TAYLOR & FRANCIS LTD
WOS记录号WOS:000690307600001
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/59180]  
专题中国科学院数学与系统科学研究院
通讯作者Chen, Chong
作者单位1.KTH Royal Inst Technol, Dept Math, Stockholm, Sweden
2.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100190, Peoples R China
3.Princeton Int Sch Math & Sci, Princeton, NJ USA
4.Univ Texas Austin, Dept Comp Sci, Oden Inst Computat Engn & Sci, Austin, TX 78712 USA
推荐引用方式
GB/T 7714
Chen, Chong,Wang, Runqian,Bajaj, Chandrajit,et al. An efficient algorithm to compute the X-ray transform[J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS,2021:19.
APA Chen, Chong,Wang, Runqian,Bajaj, Chandrajit,&Oktem, Ozan.(2021).An efficient algorithm to compute the X-ray transform.INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS,19.
MLA Chen, Chong,et al."An efficient algorithm to compute the X-ray transform".INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS (2021):19.
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