Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM

Liyang Wei; Dinggang Shen; Dinesh Kumar; Ram Turlapati; Jasjit S. Suri

doi:10.1117/12.765520

Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM

Liyang Wei^*
, Dinggang Shen
, Dinesh Kumar
, Ram Turlapati
, Jasjit S. Suri

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

DSA images suffer from challenges like system X-ray noise and artifacts due to patient movement. In this paper, we present a two-step strategy to improve DSA image quality. First, a hierarchical deformable registration algorithm is used to register the mask frame and the bolus frame before subtraction. Second, the resulted DSA image is further enhanced by background diffusion and nonlinear normalization for better visualization. Two major changes are made in the hierarchical deformable registration algorithm for DSA images: 1) B-Spline is used to represent the deformation field in order to produce the smooth deformation field; 2) two features are defined as the attribute vector for each point in the image, i.e., original image intensity and gradient. Also, for speeding up the 2D image registration, the hierarchical motion compensation algorithm is implemented by a multi-resolution framework. The proposed method has been evaluated on a database of 73 subjects by quantitatively measuring signal-to-noise (SNR) ratio. DSA embedded with proposed strategies demonstrates an improvement of 74.1% over conventional DSA in terms of SNR. Our system runs on Eigen's DSA workstation using C++ in Windows environment.

Original language	English
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging -Image Processing
Subtitle of host publication	Algorithms and Systems VI
DOIs	https://doi.org/10.1117/12.765520
Publication status	Published - 2008
Event	Image Processing: Algorithms and Systems VI - San Jose, CA, United States Duration: 2008 Jan 28 → 2008 Jan 29

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6812
ISSN (Print)	0277-786X

Other

Other	Image Processing: Algorithms and Systems VI
Country/Territory	United States
City	San Jose, CA
Period	08/1/28 → 08/1/29

Keywords

DSA
Diffusion
Hierarchical deformable registration
Nonlinear normalization

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.765520

Cite this

Wei, L., Shen, D., Kumar, D., Turlapati, R., & Suri, J. S. (2008). Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM. In Proceedings of SPIE-IS and T Electronic Imaging -Image Processing: Algorithms and Systems VI Article 68120Z (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6812). https://doi.org/10.1117/12.765520

Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM. / Wei, Liyang; Shen, Dinggang; Kumar, Dinesh et al.
Proceedings of SPIE-IS and T Electronic Imaging -Image Processing: Algorithms and Systems VI. 2008. 68120Z (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6812).

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

Wei, L, Shen, D, Kumar, D, Turlapati, R & Suri, JS 2008, Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM. in Proceedings of SPIE-IS and T Electronic Imaging -Image Processing: Algorithms and Systems VI., 68120Z, Proceedings of SPIE - The International Society for Optical Engineering, vol. 6812, Image Processing: Algorithms and Systems VI, San Jose, CA, United States, 08/1/28. https://doi.org/10.1117/12.765520

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title = "Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM",

abstract = "DSA images suffer from challenges like system X-ray noise and artifacts due to patient movement. In this paper, we present a two-step strategy to improve DSA image quality. First, a hierarchical deformable registration algorithm is used to register the mask frame and the bolus frame before subtraction. Second, the resulted DSA image is further enhanced by background diffusion and nonlinear normalization for better visualization. Two major changes are made in the hierarchical deformable registration algorithm for DSA images: 1) B-Spline is used to represent the deformation field in order to produce the smooth deformation field; 2) two features are defined as the attribute vector for each point in the image, i.e., original image intensity and gradient. Also, for speeding up the 2D image registration, the hierarchical motion compensation algorithm is implemented by a multi-resolution framework. The proposed method has been evaluated on a database of 73 subjects by quantitatively measuring signal-to-noise (SNR) ratio. DSA embedded with proposed strategies demonstrates an improvement of 74.1\% over conventional DSA in terms of SNR. Our system runs on Eigen's DSA workstation using C++ in Windows environment.",

keywords = "DSA, Diffusion, Hierarchical deformable registration, Nonlinear normalization",

author = "Liyang Wei and Dinggang Shen and Dinesh Kumar and Ram Turlapati and Suri, \{Jasjit S.\}",

year = "2008",

doi = "10.1117/12.765520",

language = "English",

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AU - Wei, Liyang

AU - Shen, Dinggang

AU - Kumar, Dinesh

AU - Turlapati, Ram

AU - Suri, Jasjit S.

PY - 2008

Y1 - 2008

N2 - DSA images suffer from challenges like system X-ray noise and artifacts due to patient movement. In this paper, we present a two-step strategy to improve DSA image quality. First, a hierarchical deformable registration algorithm is used to register the mask frame and the bolus frame before subtraction. Second, the resulted DSA image is further enhanced by background diffusion and nonlinear normalization for better visualization. Two major changes are made in the hierarchical deformable registration algorithm for DSA images: 1) B-Spline is used to represent the deformation field in order to produce the smooth deformation field; 2) two features are defined as the attribute vector for each point in the image, i.e., original image intensity and gradient. Also, for speeding up the 2D image registration, the hierarchical motion compensation algorithm is implemented by a multi-resolution framework. The proposed method has been evaluated on a database of 73 subjects by quantitatively measuring signal-to-noise (SNR) ratio. DSA embedded with proposed strategies demonstrates an improvement of 74.1% over conventional DSA in terms of SNR. Our system runs on Eigen's DSA workstation using C++ in Windows environment.

AB - DSA images suffer from challenges like system X-ray noise and artifacts due to patient movement. In this paper, we present a two-step strategy to improve DSA image quality. First, a hierarchical deformable registration algorithm is used to register the mask frame and the bolus frame before subtraction. Second, the resulted DSA image is further enhanced by background diffusion and nonlinear normalization for better visualization. Two major changes are made in the hierarchical deformable registration algorithm for DSA images: 1) B-Spline is used to represent the deformation field in order to produce the smooth deformation field; 2) two features are defined as the attribute vector for each point in the image, i.e., original image intensity and gradient. Also, for speeding up the 2D image registration, the hierarchical motion compensation algorithm is implemented by a multi-resolution framework. The proposed method has been evaluated on a database of 73 subjects by quantitatively measuring signal-to-noise (SNR) ratio. DSA embedded with proposed strategies demonstrates an improvement of 74.1% over conventional DSA in terms of SNR. Our system runs on Eigen's DSA workstation using C++ in Windows environment.

KW - DSA

KW - Diffusion

KW - Hierarchical deformable registration

KW - Nonlinear normalization

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DO - 10.1117/12.765520

M3 - Conference contribution

AN - SCOPUS:43249117165

SN - 9780819469847

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Proceedings of SPIE-IS and T Electronic Imaging -Image Processing

T2 - Image Processing: Algorithms and Systems VI

Y2 - 28 January 2008 through 29 January 2008

ER -

Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM

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Keywords

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