Combination of detection and estimation tasks using channelized scanning linear observer for CT imaging systems

Hsin Wu Tseng; Jiahua Fan; Matthew A. Kupinski

doi:10.1117/12.2081035

Combination of detection and estimation tasks using channelized scanning linear observer for CT imaging systems

Hsin Wu Tseng, Jiahua Fan, Matthew A. Kupinski

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Maintaining or even improving image quality while lowering patient dose is always the desire in clinical CT imaging. Iterative reconstruction (IR) algorithms have been designed to help reduce dose and/or provide better image quality. In this work, the channelized scanning linear observer (CSLO) is applied to study the combination of detection and estimation task performance using CT image data. The purpose of this work is to design a task-based approach to quantitatively evaluate image-quality for different reconstruction algorithms. Low-contrast objects embedded in head-size and body-size phantoms are imaged multiple times and reconstructed by FBP and an IR algorithm for this study. Independent signal present and absent ROIs cropped from images are channelized by Difference of Gauss channels for CSLO training and testing. Estimation receiver operating characteristic (EROC) curves and the area under EROC curve (EAUC) are calculated by CSLO as the figure of merit. The One-Shot method is used to compute the variance of the EAUC values. Results suggest that the IR algorithm studied in this work could efficiently reduce the dose approximately 54% to achieve an image quality comparable to conventional FBP reconstruction for the combined detection and estimation tasks.

Original language	English (US)
Title of host publication	Medical Imaging 2015
Subtitle of host publication	Image Perception, Observer Performance, and Technology Assessment
Editors	Claudia R. Mello-Thoms, Matthew A. Kupinski
Publisher	SPIE
ISBN (Electronic)	9781628415063
DOIs	https://doi.org/10.1117/12.2081035
State	Published - 2015
Event	Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment - Orlando, United States Duration: Feb 25 2015 → Feb 26 2015

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	9416

Other

Other	Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment
Country/Territory	United States
City	Orlando
Period	2/25/15 → 2/26/15

Keywords

CT
EAUC
EROC
IR
channelized scanning linear observer (CSLO)
detection
estimation

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Biomaterials
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2081035

Cite this

Tseng, H. W., Fan, J., & Kupinski, M. A. (2015). Combination of detection and estimation tasks using channelized scanning linear observer for CT imaging systems. In C. R. Mello-Thoms, & M. A. Kupinski (Eds.), Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment Article 94160H (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9416). SPIE. https://doi.org/10.1117/12.2081035

Combination of detection and estimation tasks using channelized scanning linear observer for CT imaging systems. / Tseng, Hsin Wu; Fan, Jiahua; Kupinski, Matthew A.
Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment. ed. / Claudia R. Mello-Thoms; Matthew A. Kupinski. SPIE, 2015. 94160H (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9416).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tseng, HW, Fan, J & Kupinski, MA 2015, Combination of detection and estimation tasks using channelized scanning linear observer for CT imaging systems. in CR Mello-Thoms & MA Kupinski (eds), Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment., 94160H, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 9416, SPIE, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, Orlando, United States, 2/25/15. https://doi.org/10.1117/12.2081035

Tseng HW, Fan J, Kupinski MA. Combination of detection and estimation tasks using channelized scanning linear observer for CT imaging systems. In Mello-Thoms CR, Kupinski MA, editors, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment. SPIE. 2015. 94160H. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2081035

Tseng, Hsin Wu ; Fan, Jiahua ; Kupinski, Matthew A. / Combination of detection and estimation tasks using channelized scanning linear observer for CT imaging systems. Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment. editor / Claudia R. Mello-Thoms ; Matthew A. Kupinski. SPIE, 2015. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

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title = "Combination of detection and estimation tasks using channelized scanning linear observer for CT imaging systems",

abstract = "Maintaining or even improving image quality while lowering patient dose is always the desire in clinical CT imaging. Iterative reconstruction (IR) algorithms have been designed to help reduce dose and/or provide better image quality. In this work, the channelized scanning linear observer (CSLO) is applied to study the combination of detection and estimation task performance using CT image data. The purpose of this work is to design a task-based approach to quantitatively evaluate image-quality for different reconstruction algorithms. Low-contrast objects embedded in head-size and body-size phantoms are imaged multiple times and reconstructed by FBP and an IR algorithm for this study. Independent signal present and absent ROIs cropped from images are channelized by Difference of Gauss channels for CSLO training and testing. Estimation receiver operating characteristic (EROC) curves and the area under EROC curve (EAUC) are calculated by CSLO as the figure of merit. The One-Shot method is used to compute the variance of the EAUC values. Results suggest that the IR algorithm studied in this work could efficiently reduce the dose approximately 54% to achieve an image quality comparable to conventional FBP reconstruction for the combined detection and estimation tasks.",

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author = "Tseng, {Hsin Wu} and Jiahua Fan and Kupinski, {Matthew A.}",

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AB - Maintaining or even improving image quality while lowering patient dose is always the desire in clinical CT imaging. Iterative reconstruction (IR) algorithms have been designed to help reduce dose and/or provide better image quality. In this work, the channelized scanning linear observer (CSLO) is applied to study the combination of detection and estimation task performance using CT image data. The purpose of this work is to design a task-based approach to quantitatively evaluate image-quality for different reconstruction algorithms. Low-contrast objects embedded in head-size and body-size phantoms are imaged multiple times and reconstructed by FBP and an IR algorithm for this study. Independent signal present and absent ROIs cropped from images are channelized by Difference of Gauss channels for CSLO training and testing. Estimation receiver operating characteristic (EROC) curves and the area under EROC curve (EAUC) are calculated by CSLO as the figure of merit. The One-Shot method is used to compute the variance of the EAUC values. Results suggest that the IR algorithm studied in this work could efficiently reduce the dose approximately 54% to achieve an image quality comparable to conventional FBP reconstruction for the combined detection and estimation tasks.

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Combination of detection and estimation tasks using channelized scanning linear observer for CT imaging systems

Abstract

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Keywords

ASJC Scopus subject areas

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