Analytic reconstruction algorithms for triple‐source CT with horizontal data truncation

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...

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Veröffentlicht in:	Medical physics (Lancaster) Jg. 42; H. 10; S. 6062 - 6073
Hauptverfasser:	Chen, Ming, Yu, Hengyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States American Association of Physicists in Medicine 01.10.2015
Schlagworte:	60 APPLIED LIFE SCIENCES ALGORITHMS analytic reconstruction algorithm big object imaging problem Biological material, e.g. blood, urine; Haemocytometers BIOMEDICAL RADIOGRAPHY Computed tomography Computerised tomographs computerised tomography COMPUTERIZED SIMULATION COMPUTERIZED TOMOGRAPHY diagnostic radiography Digital computing or data processing equipment or methods, specially adapted for specific applications enlarged field of view image coding Image coding, e.g. from bit‐mapped to non bit‐mapped Image data processing or generation, in general image enhancement Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image IMAGE PROCESSING Image Processing, Computer-Assisted - methods image reconstruction medical image processing Models, Theoretical multisource scheme numerical analysis object detection Phantoms, Imaging Reconstruction Tomography, X-Ray Computed triple‐source scanning configuration VELOCITY X-RAY SOURCES
ISSN:	0094-2405, 2473-4209, 2473-4209
Online-Zugang:	Volltext
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