Deformable image registration for multimodal lung-cancer staging

Ronnarit Cheirsilp; Xiaonan Zang; Rebecca Bascom; Thomas Allen; Rickhesvar Mahraj; William Evan Higgins

doi:10.1117/12.2208482

Deformable image registration for multimodal lung-cancer staging

Ronnarit Cheirsilp, Xiaonan Zang, Rebecca Bascom, Thomas Allen, Rickhesvar Mahraj, William Evan Higgins

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

Abstract

Positron emission tomography (PET) and X-ray computed tomography (CT) serve as major diagnostic imaging modalities in the lung-cancer staging process. Modern scanners provide co-registered whole-body PET/CT studies, collected while the patient breathes freely, and high-resolution chest CT scans, collected under a brief patient breath hold. Unfortunately, no method exists for registering a PET/CT study into the space of a high-resolution chest CT scan. If this could be done, vital diagnostic information offered by the PET/CT study could be brought seamlessly into the procedure plan used during live cancer-staging bronchoscopy. We propose a method for the deformable registration of whole-body PET/CT data into the space of a high-resolution chest CT study. We then demonstrate its potential for procedure planning and subsequent use in multimodal image-guided bronchoscopy.

Original language	English (US)
Title of host publication	Medical Imaging 2016
Subtitle of host publication	Image Processing
Editors	Martin A. Styner, Elsa D. Angelini, Elsa D. Angelini
Publisher	SPIE
ISBN (Electronic)	9781510600195
DOIs	https://doi.org/10.1117/12.2208482
State	Published - 2016
Event	Medical Imaging 2016: Image Processing - San Diego, United States Duration: Mar 1 2016 → Mar 3 2016

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	9784
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2016: Image Processing
Country/Territory	United States
City	San Diego
Period	3/1/16 → 3/3/16

All Science Journal Classification (ASJC) codes

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1117/12.2208482

Cite this

Cheirsilp, R., Zang, X., Bascom, R., Allen, T., Mahraj, R., & Higgins, W. E. (2016). Deformable image registration for multimodal lung-cancer staging. In M. A. Styner, E. D. Angelini, & E. D. Angelini (Eds.), Medical Imaging 2016: Image Processing Article 97843Z (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9784). SPIE. https://doi.org/10.1117/12.2208482

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title = "Deformable image registration for multimodal lung-cancer staging",

abstract = "Positron emission tomography (PET) and X-ray computed tomography (CT) serve as major diagnostic imaging modalities in the lung-cancer staging process. Modern scanners provide co-registered whole-body PET/CT studies, collected while the patient breathes freely, and high-resolution chest CT scans, collected under a brief patient breath hold. Unfortunately, no method exists for registering a PET/CT study into the space of a high-resolution chest CT scan. If this could be done, vital diagnostic information offered by the PET/CT study could be brought seamlessly into the procedure plan used during live cancer-staging bronchoscopy. We propose a method for the deformable registration of whole-body PET/CT data into the space of a high-resolution chest CT study. We then demonstrate its potential for procedure planning and subsequent use in multimodal image-guided bronchoscopy.",

author = "Ronnarit Cheirsilp and Xiaonan Zang and Rebecca Bascom and Thomas Allen and Rickhesvar Mahraj and Higgins, {William Evan}",

note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Medical Imaging 2016: Image Processing ; Conference date: 01-03-2016 Through 03-03-2016",

year = "2016",

doi = "10.1117/12.2208482",

language = "English (US)",

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

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Cheirsilp, R, Zang, X, Bascom, R , Allen, T, Mahraj, R & Higgins, WE 2016, Deformable image registration for multimodal lung-cancer staging. in MA Styner, ED Angelini & ED Angelini (eds), Medical Imaging 2016: Image Processing., 97843Z, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 9784, SPIE, Medical Imaging 2016: Image Processing, San Diego, United States, 3/1/16. https://doi.org/10.1117/12.2208482

Deformable image registration for multimodal lung-cancer staging. / Cheirsilp, Ronnarit; Zang, Xiaonan; Bascom, Rebecca et al.
Medical Imaging 2016: Image Processing. ed. / Martin A. Styner; Elsa D. Angelini; Elsa D. Angelini. SPIE, 2016. 97843Z (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9784).

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

TY - GEN

T1 - Deformable image registration for multimodal lung-cancer staging

AU - Cheirsilp, Ronnarit

AU - Zang, Xiaonan

AU - Bascom, Rebecca

AU - Allen, Thomas

AU - Mahraj, Rickhesvar

AU - Higgins, William Evan

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N2 - Positron emission tomography (PET) and X-ray computed tomography (CT) serve as major diagnostic imaging modalities in the lung-cancer staging process. Modern scanners provide co-registered whole-body PET/CT studies, collected while the patient breathes freely, and high-resolution chest CT scans, collected under a brief patient breath hold. Unfortunately, no method exists for registering a PET/CT study into the space of a high-resolution chest CT scan. If this could be done, vital diagnostic information offered by the PET/CT study could be brought seamlessly into the procedure plan used during live cancer-staging bronchoscopy. We propose a method for the deformable registration of whole-body PET/CT data into the space of a high-resolution chest CT study. We then demonstrate its potential for procedure planning and subsequent use in multimodal image-guided bronchoscopy.

AB - Positron emission tomography (PET) and X-ray computed tomography (CT) serve as major diagnostic imaging modalities in the lung-cancer staging process. Modern scanners provide co-registered whole-body PET/CT studies, collected while the patient breathes freely, and high-resolution chest CT scans, collected under a brief patient breath hold. Unfortunately, no method exists for registering a PET/CT study into the space of a high-resolution chest CT scan. If this could be done, vital diagnostic information offered by the PET/CT study could be brought seamlessly into the procedure plan used during live cancer-staging bronchoscopy. We propose a method for the deformable registration of whole-body PET/CT data into the space of a high-resolution chest CT study. We then demonstrate its potential for procedure planning and subsequent use in multimodal image-guided bronchoscopy.

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Deformable image registration for multimodal lung-cancer staging

Abstract

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