Parameter space visualizer: An interactive parameter selection interface for iterative CT reconstruction algorithms

Wei Xu; Klaus Mueller

doi:10.1117/12.844401

Parameter space visualizer: An interactive parameter selection interface for iterative CT reconstruction algorithms

Wei Xu
, Klaus Mueller

Computer Science

Stony Brook University

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

3 Scopus citations

Abstract

Previous work indicated that using ordered subsets (OS-SIRT) for iterative CT can optimize the reconstruction performance once optimal settings for parameters such as number of subsets and relaxation factor have been identified. However, recent work also indicated that the optimal settings have dependent relations with regards to the quality of the projection data (such as SNR-level), which are hard to obtain a-priori. In addition, users may also have preferences in trading off between the dependent parameters, such as reconstruction speed and quality, which makes these (independent) parameters even more difficult to determine in an automated manner. Therefore, we devise an effective parameter space navigation interface allowing users to interactively assist parameter selection for iterative CT reconstruction algorithms (here for OS-SIRT). It is based on a 2D scatter plot with six display modes to show different features of the reconstruction results based on the user preferences. It also enables a dynamic visualization by gradual parameter alteration for illustrating the rate of impact of a given parameter constellation. Finally, we note the generality of our approach, which could be applied to assist any parameter selection related systems.

Original language	English
Title of host publication	Medical Imaging 2010
Subtitle of host publication	Visualization, Image-Guided Procedures, and Modeling
Editors	Kenneth H. Wong, Michael I. Miga
Publisher	SPIE
ISBN (Electronic)	9780819480262
DOIs	https://doi.org/10.1117/12.844401
State	Published - 2010
Event	Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling - San Diego, United States Duration: Feb 14 2010 → Feb 16 2010

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	7625
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Country/Territory	United States
City	San Diego
Period	02/14/10 → 02/16/10

Keywords

Computed tomography
GPU
Iterative CT reconstruction
Parameter space visualization
User interactive visualization

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10.1117/12.844401

Cite this

Xu, W., & Mueller, K. (2010). Parameter space visualizer: An interactive parameter selection interface for iterative CT reconstruction algorithms. In K. H. Wong, & M. I. Miga (Eds.), Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling Article 76251Q (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7625). SPIE. https://doi.org/10.1117/12.844401

@inproceedings{42c860b0e685407fa4888e1554597a12,

title = "Parameter space visualizer: An interactive parameter selection interface for iterative CT reconstruction algorithms",

abstract = "Previous work indicated that using ordered subsets (OS-SIRT) for iterative CT can optimize the reconstruction performance once optimal settings for parameters such as number of subsets and relaxation factor have been identified. However, recent work also indicated that the optimal settings have dependent relations with regards to the quality of the projection data (such as SNR-level), which are hard to obtain a-priori. In addition, users may also have preferences in trading off between the dependent parameters, such as reconstruction speed and quality, which makes these (independent) parameters even more difficult to determine in an automated manner. Therefore, we devise an effective parameter space navigation interface allowing users to interactively assist parameter selection for iterative CT reconstruction algorithms (here for OS-SIRT). It is based on a 2D scatter plot with six display modes to show different features of the reconstruction results based on the user preferences. It also enables a dynamic visualization by gradual parameter alteration for illustrating the rate of impact of a given parameter constellation. Finally, we note the generality of our approach, which could be applied to assist any parameter selection related systems.",

keywords = "Computed tomography, GPU, Iterative CT reconstruction, Parameter space visualization, User interactive visualization",

author = "Wei Xu and Klaus Mueller",

note = "Publisher Copyright: {\textcopyright} 2010 SPIE.; Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling ; Conference date: 14-02-2010 Through 16-02-2010",

year = "2010",

doi = "10.1117/12.844401",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Wong, \{Kenneth H.\} and Miga, \{Michael I.\}",

booktitle = "Medical Imaging 2010",

}

Xu, W & Mueller, K 2010, Parameter space visualizer: An interactive parameter selection interface for iterative CT reconstruction algorithms. in KH Wong & MI Miga (eds), Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling., 76251Q, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 7625, SPIE, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, San Diego, United States, 02/14/10. https://doi.org/10.1117/12.844401

Parameter space visualizer: An interactive parameter selection interface for iterative CT reconstruction algorithms. / Xu, Wei; Mueller, Klaus.
Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling. ed. / Kenneth H. Wong; Michael I. Miga. SPIE, 2010. 76251Q (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7625).

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

TY - GEN

T1 - Parameter space visualizer

T2 - Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling

AU - Xu, Wei

AU - Mueller, Klaus

PY - 2010

Y1 - 2010

N2 - Previous work indicated that using ordered subsets (OS-SIRT) for iterative CT can optimize the reconstruction performance once optimal settings for parameters such as number of subsets and relaxation factor have been identified. However, recent work also indicated that the optimal settings have dependent relations with regards to the quality of the projection data (such as SNR-level), which are hard to obtain a-priori. In addition, users may also have preferences in trading off between the dependent parameters, such as reconstruction speed and quality, which makes these (independent) parameters even more difficult to determine in an automated manner. Therefore, we devise an effective parameter space navigation interface allowing users to interactively assist parameter selection for iterative CT reconstruction algorithms (here for OS-SIRT). It is based on a 2D scatter plot with six display modes to show different features of the reconstruction results based on the user preferences. It also enables a dynamic visualization by gradual parameter alteration for illustrating the rate of impact of a given parameter constellation. Finally, we note the generality of our approach, which could be applied to assist any parameter selection related systems.

AB - Previous work indicated that using ordered subsets (OS-SIRT) for iterative CT can optimize the reconstruction performance once optimal settings for parameters such as number of subsets and relaxation factor have been identified. However, recent work also indicated that the optimal settings have dependent relations with regards to the quality of the projection data (such as SNR-level), which are hard to obtain a-priori. In addition, users may also have preferences in trading off between the dependent parameters, such as reconstruction speed and quality, which makes these (independent) parameters even more difficult to determine in an automated manner. Therefore, we devise an effective parameter space navigation interface allowing users to interactively assist parameter selection for iterative CT reconstruction algorithms (here for OS-SIRT). It is based on a 2D scatter plot with six display modes to show different features of the reconstruction results based on the user preferences. It also enables a dynamic visualization by gradual parameter alteration for illustrating the rate of impact of a given parameter constellation. Finally, we note the generality of our approach, which could be applied to assist any parameter selection related systems.

KW - Computed tomography

KW - GPU

KW - Iterative CT reconstruction

KW - Parameter space visualization

KW - User interactive visualization

UR - https://www.scopus.com/pages/publications/84884420110

U2 - 10.1117/12.844401

DO - 10.1117/12.844401

M3 - Conference contribution

AN - SCOPUS:84884420110

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2010

A2 - Wong, Kenneth H.

A2 - Miga, Michael I.

PB - SPIE

Y2 - 14 February 2010 through 16 February 2010

ER -

Parameter space visualizer: An interactive parameter selection interface for iterative CT reconstruction algorithms

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