Super resolution in CT

Ziye Yan; Jianwu Li; Yao Lu; Hongxia Yan; Yanfeng Zhao

doi:10.1002/ima.22125

Super resolution in CT

Ziye Yan, Jianwu Li^*, Yao Lu, Hongxia Yan, Yanfeng Zhao

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

Abstract

The general framework of super resolution in computed tomography (CT) system is introduced. Two data acquisition ways before or after the reconstruction respectively are described. Three models including the sinogram model, the in-plane model and the z-axis model, are addressed to adapt super resolution to CT system. The improved iterative back projection algorithm is used in this work. Experimental results based on simulated data, GE performance phantom scanned by GE LightSpeed VCT system, one patient volunteer scanned by TOSHIBA Aquilion system, and a special experimental apparatus demonstrate that super resolution is effective to improve the resolution of CT images. The sinogram model is suitable for future CT system; the in-plane model is restricted to some special clinical diagnoses; and the z-axis model is practicable for current general clinical CT images.

Original language	English
Pages (from-to)	92-101
Number of pages	10
Journal	International Journal of Imaging Systems and Technology
Volume	25
Issue number	1
DOIs	https://doi.org/10.1002/ima.22125
Publication status	Published - 1 Mar 2015

Keywords

computed tomography
in-plane resolution
sinogram
slice thickness
super resolution

Access to Document

10.1002/ima.22125

Cite this

@article{d6318c72d4bd4bb9b2df05444397f9b7,

title = "Super resolution in CT",

abstract = "The general framework of super resolution in computed tomography (CT) system is introduced. Two data acquisition ways before or after the reconstruction respectively are described. Three models including the sinogram model, the in-plane model and the z-axis model, are addressed to adapt super resolution to CT system. The improved iterative back projection algorithm is used in this work. Experimental results based on simulated data, GE performance phantom scanned by GE LightSpeed VCT system, one patient volunteer scanned by TOSHIBA Aquilion system, and a special experimental apparatus demonstrate that super resolution is effective to improve the resolution of CT images. The sinogram model is suitable for future CT system; the in-plane model is restricted to some special clinical diagnoses; and the z-axis model is practicable for current general clinical CT images.",

keywords = "computed tomography, in-plane resolution, sinogram, slice thickness, super resolution",

author = "Ziye Yan and Jianwu Li and Yao Lu and Hongxia Yan and Yanfeng Zhao",

note = "Publisher Copyright: {\textcopyright} 2015 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 25, 92-101, 2015 {\textcopyright} 2015 Wiley Periodicals, Inc.",

year = "2015",

month = mar,

day = "1",

doi = "10.1002/ima.22125",

language = "English",

volume = "25",

pages = "92--101",

journal = "International Journal of Imaging Systems and Technology",

issn = "0899-9457",

publisher = "John Wiley and Sons Inc.",

number = "1",

}

TY - JOUR

T1 - Super resolution in CT

AU - Yan, Ziye

AU - Li, Jianwu

AU - Lu, Yao

AU - Yan, Hongxia

AU - Zhao, Yanfeng

PY - 2015/3/1

Y1 - 2015/3/1

N2 - The general framework of super resolution in computed tomography (CT) system is introduced. Two data acquisition ways before or after the reconstruction respectively are described. Three models including the sinogram model, the in-plane model and the z-axis model, are addressed to adapt super resolution to CT system. The improved iterative back projection algorithm is used in this work. Experimental results based on simulated data, GE performance phantom scanned by GE LightSpeed VCT system, one patient volunteer scanned by TOSHIBA Aquilion system, and a special experimental apparatus demonstrate that super resolution is effective to improve the resolution of CT images. The sinogram model is suitable for future CT system; the in-plane model is restricted to some special clinical diagnoses; and the z-axis model is practicable for current general clinical CT images.

AB - The general framework of super resolution in computed tomography (CT) system is introduced. Two data acquisition ways before or after the reconstruction respectively are described. Three models including the sinogram model, the in-plane model and the z-axis model, are addressed to adapt super resolution to CT system. The improved iterative back projection algorithm is used in this work. Experimental results based on simulated data, GE performance phantom scanned by GE LightSpeed VCT system, one patient volunteer scanned by TOSHIBA Aquilion system, and a special experimental apparatus demonstrate that super resolution is effective to improve the resolution of CT images. The sinogram model is suitable for future CT system; the in-plane model is restricted to some special clinical diagnoses; and the z-axis model is practicable for current general clinical CT images.

KW - computed tomography

KW - in-plane resolution

KW - sinogram

KW - slice thickness

KW - super resolution

UR - http://www.scopus.com/inward/record.url?scp=84922446275&partnerID=8YFLogxK

U2 - 10.1002/ima.22125

DO - 10.1002/ima.22125

M3 - Article

AN - SCOPUS:84922446275

SN - 0899-9457

VL - 25

SP - 92

EP - 101

JO - International Journal of Imaging Systems and Technology

JF - International Journal of Imaging Systems and Technology

IS - 1

ER -

Super resolution in CT

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this