A feasibility study of image registration using volumetrically classified, motion-free bony landmarks in thoracic 4DCT images for image-guided patient setup

Guang Li; Huchen Xie; Holly Ning; Deborah Citrin; Jacek Capala; Jason Cheng; Barbara C. Arora; C. Norman Coleman; Kevin Camphausen; Robert W. Miller

doi:10.1504/IJBET.2012.046090

A feasibility study of image registration using volumetrically classified, motion-free bony landmarks in thoracic 4DCT images for image-guided patient setup

Guang Li, Huchen Xie, Holly Ning, Deborah Citrin, Jacek Capala, Jason Cheng, Barbara C. Arora, C. Norman Coleman, Kevin Camphausen, Robert W. Miller

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

4 Scopus citations

Abstract

As rigid image registration becomes unreliable in the presence of involuntary organ motion, we present a novel approach to register CT images using stable bony landmarks for image-guided patient setup. Using 3D Volumetric Image Registration (3DVIR) technique, bony anatomy is volumetrically-classified as registration landmark, while soft tissues are ignored. Based on 4DCT, it was found that the spine, posterior ribs and clavicles do not move with respiration and remain registered throughout the breathing cycle. However, mutual information based registration produces an error of 1-2 mm due to moving soft tissues. It is suggested that the 3DVIR can improve image-guided setup.

Original language	English (US)
Pages (from-to)	259-273
Number of pages	15
Journal	International Journal of Biomedical Engineering and Technology
Volume	8
Issue number	2-3
DOIs	https://doi.org/10.1504/IJBET.2012.046090
State	Published - 2012
Externally published	Yes

Keywords

3D volumetric image registration
3DVIR
4DCT registration
IGRT
Image-guided patient setup
Image-guided radiation therapy

ASJC Scopus subject areas

Biomedical Engineering

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10.1504/IJBET.2012.046090

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Li, G., Xie, H., Ning, H., Citrin, D., Capala, J., Cheng, J., Arora, B. C., Coleman, C. N., Camphausen, K., & Miller, R. W. (2012). A feasibility study of image registration using volumetrically classified, motion-free bony landmarks in thoracic 4DCT images for image-guided patient setup. International Journal of Biomedical Engineering and Technology, 8(2-3), 259-273. https://doi.org/10.1504/IJBET.2012.046090

A feasibility study of image registration using volumetrically classified, motion-free bony landmarks in thoracic 4DCT images for image-guided patient setup. / Li, Guang; Xie, Huchen; Ning, Holly et al.
In: International Journal of Biomedical Engineering and Technology, Vol. 8, No. 2-3, 2012, p. 259-273.

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

Li, G, Xie, H, Ning, H, Citrin, D, Capala, J, Cheng, J, Arora, BC, Coleman, CN, Camphausen, K & Miller, RW 2012, 'A feasibility study of image registration using volumetrically classified, motion-free bony landmarks in thoracic 4DCT images for image-guided patient setup', International Journal of Biomedical Engineering and Technology, vol. 8, no. 2-3, pp. 259-273. https://doi.org/10.1504/IJBET.2012.046090

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title = "A feasibility study of image registration using volumetrically classified, motion-free bony landmarks in thoracic 4DCT images for image-guided patient setup",

abstract = "As rigid image registration becomes unreliable in the presence of involuntary organ motion, we present a novel approach to register CT images using stable bony landmarks for image-guided patient setup. Using 3D Volumetric Image Registration (3DVIR) technique, bony anatomy is volumetrically-classified as registration landmark, while soft tissues are ignored. Based on 4DCT, it was found that the spine, posterior ribs and clavicles do not move with respiration and remain registered throughout the breathing cycle. However, mutual information based registration produces an error of 1-2 mm due to moving soft tissues. It is suggested that the 3DVIR can improve image-guided setup.",

keywords = "3D volumetric image registration, 3DVIR, 4DCT registration, IGRT, Image-guided patient setup, Image-guided radiation therapy",

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AU - Capala, Jacek

AU - Cheng, Jason

AU - Arora, Barbara C.

AU - Coleman, C. Norman

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AB - As rigid image registration becomes unreliable in the presence of involuntary organ motion, we present a novel approach to register CT images using stable bony landmarks for image-guided patient setup. Using 3D Volumetric Image Registration (3DVIR) technique, bony anatomy is volumetrically-classified as registration landmark, while soft tissues are ignored. Based on 4DCT, it was found that the spine, posterior ribs and clavicles do not move with respiration and remain registered throughout the breathing cycle. However, mutual information based registration produces an error of 1-2 mm due to moving soft tissues. It is suggested that the 3DVIR can improve image-guided setup.

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A feasibility study of image registration using volumetrically classified, motion-free bony landmarks in thoracic 4DCT images for image-guided patient setup

Abstract

Keywords

ASJC Scopus subject areas

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