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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
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
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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 + + and matlab. While the basic platform is constructed in matlab, the computationally intensive segments are coded in c + +, which are linked via a mex 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.
Bibliographie:hengyong‐yu@ieee.org
Author to whom correspondence should be addressed. Electronic mail
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0094-2405
2473-4209
2473-4209
DOI:10.1118/1.4931408