Analytic reconstruction algorithms for triple‐source CT with horizontal data truncation. Issue 10 (25th September 2015)

• Record Type: Journal Article
• Authors: Chen, Ming; Yu, Hengyong
• Is Part Of: Medical physics. Volume 42:Issue 10(2015)
• Page Start: 6062
• Page End: 6073
• Publication Date: 2015-09-25
• Subjects: computerised tomography -- diagnostic radiography -- image coding -- image enhancement -- image reconstruction -- medical image processing -- numerical analysis -- object detection; Computed tomography -- Reconstruction -- Image enhancement; Computerised tomographs -- Biological material, e.g. blood, urine; Haemocytometers -- Digital computing or data processing equipment or methods, specially adapted for specific applications -- Image data processing or generation, in general -- Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image -- Image coding, e.g. from bit‐mapped to non bit‐mapped; multisource scheme -- big object imaging problem -- triple‐source scanning configuration -- enlarged field of view -- analytic reconstruction algorithm; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4931408
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: This paper explores a triple‐source imaging method with horizontal data truncation to enlarge the field of view (FOV) for big objects. Methods: The study is conducted by using theoretical analysis, mathematical deduction, and numerical simulations. The proposed algorithms are implemented in c + + andmatlab . While the basic platform is constructed inmatlab, the computationally intensive segments are coded in c + +, which are linked via amex interface. Results: A triple‐source circular scanning configuration with horizontal data truncation is developed, where three pairs of x‐ray sources and detectors are unevenly distributed on the same circle to cover the whole imaging object. For this triple‐source configuration, a fan‐beam filtered backprojection‐type algorithm is derived for truncated full‐scan projections without data rebinning. The algorithm is also extended for horizontally truncated half‐scan projections and cone‐beam projections in a Feldkamp‐type framework. Using their method, the FOV is enlarged twofold to threefold to scan bigger objects with high speed and quality. The numerical simulation results confirm the correctness and effectiveness of the developed algorithms. Conclusions: The triple‐source scanning configuration with horizontal data truncation cannot only keep most of the advantages of a traditional multisource system but also cover a larger FOV for big imaging objects. In addition, because the filtering is shift‐invariant, the proposed algorithms are very fast and easily parallelized on graphic processing units.