3D CT-Video Fusion for Image-Guided Bronchoscopy

William E. Higgins; James P. Helferty; Kongkuo Lu; Scott A. Merritt; Lav Rai; Kun Chang Yu

doi:10.1016/j.compmedimag.2007.11.001

3D CT-Video Fusion for Image-Guided Bronchoscopy

William E. Higgins, James P. Helferty, Kongkuo Lu, Scott A. Merritt, Lav Rai, Kun Chang Yu

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

78 Scopus citations

Abstract

Bronchoscopic biopsy of the central-chest lymph nodes is an important step for lung-cancer staging. Before bronchoscopy, the physician first visually assesses a patient's three-dimensional (3D) computed tomography (CT) chest scan to identify suspect lymph-node sites. Next, during bronchoscopy, the physician guides the bronchoscope to each desired lymph-node site. Unfortunately, the physician has no link between the 3D CT image data and the live video stream provided during bronchoscopy. Thus, the physician must essentially perform biopsy blindly, and the skill levels between different physicians differ greatly. We describe an approach that enables synergistic fusion between the 3D CT data and the bronchoscopic video. Both the integrated planning and guidance system and the internal CT-video registration and fusion methods are described. Phantom, animal, and human studies illustrate the efficacy of the methods.

Original language	English (US)
Pages (from-to)	159-173
Number of pages	15
Journal	Computerized Medical Imaging and Graphics
Volume	32
Issue number	3
DOIs	https://doi.org/10.1016/j.compmedimag.2007.11.001
State	Published - Apr 2008

All Science Journal Classification (ASJC) codes

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Computer Vision and Pattern Recognition
Health Informatics
Computer Graphics and Computer-Aided Design

UN SDGs

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

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10.1016/j.compmedimag.2007.11.001

Cite this

@article{38857fc153314ee5b61f6728149c0375,

title = "3D CT-Video Fusion for Image-Guided Bronchoscopy",

abstract = "Bronchoscopic biopsy of the central-chest lymph nodes is an important step for lung-cancer staging. Before bronchoscopy, the physician first visually assesses a patient's three-dimensional (3D) computed tomography (CT) chest scan to identify suspect lymph-node sites. Next, during bronchoscopy, the physician guides the bronchoscope to each desired lymph-node site. Unfortunately, the physician has no link between the 3D CT image data and the live video stream provided during bronchoscopy. Thus, the physician must essentially perform biopsy blindly, and the skill levels between different physicians differ greatly. We describe an approach that enables synergistic fusion between the 3D CT data and the bronchoscopic video. Both the integrated planning and guidance system and the internal CT-video registration and fusion methods are described. Phantom, animal, and human studies illustrate the efficacy of the methods.",

author = "Higgins, {William E.} and Helferty, {James P.} and Kongkuo Lu and Merritt, {Scott A.} and Lav Rai and Yu, {Kun Chang}",

note = "Funding Information: This work was partially supported by grants #CA074325 and #CA091534 from the National Cancer Institute of the NIH and by grant #EB000305 from the National Institute of Biomedical Imaging and Bioengineering of the NIH. We would like to thank Atilla Kiraly, Anthony Sherbondy, Janice Turlington, David Zhang, Allen Austin, Dirk Padfield, James Ross, Tao Yang, Shu-Yen Wan, Nicholas Linger, Pinyo Taeprasartsit, Mike Graham, and Duane Cornish from Penn State University, who helped construct the system and participated in many of the tests. We would also like to thank Rebecca Bascom, Milos Tucakovic, Rickhesvar Mahraj, Jenn Toth, Marina Dolina, Christopher Cope, and Larisa Buyantseva from Penn State{\textquoteright}s Hershey Medical Center, who provided data and participated in some of the tests. Finally, we would like to thank Eric Hoffman, Geoffrey McLennan, Janice Cook-Granroth, Angela Delsing, Curt Wolf, Osama Saba, Deokiee Chon, Jered Sieren, Karl Thomas, Scott Ferguson, and Alan Ross, from the University of Iowa, who participated in some of the tests. Portions of this work appeared in preliminary form at two conferences [35,56] . ",

year = "2008",

month = apr,

doi = "10.1016/j.compmedimag.2007.11.001",

language = "English (US)",

volume = "32",

pages = "159--173",

journal = "Computerized Medical Imaging and Graphics",

issn = "0895-6111",

publisher = "Elsevier Limited",

number = "3",

}

TY - JOUR

T1 - 3D CT-Video Fusion for Image-Guided Bronchoscopy

AU - Higgins, William E.

AU - Helferty, James P.

AU - Lu, Kongkuo

AU - Merritt, Scott A.

AU - Rai, Lav

AU - Yu, Kun Chang

N1 - Funding Information: This work was partially supported by grants #CA074325 and #CA091534 from the National Cancer Institute of the NIH and by grant #EB000305 from the National Institute of Biomedical Imaging and Bioengineering of the NIH. We would like to thank Atilla Kiraly, Anthony Sherbondy, Janice Turlington, David Zhang, Allen Austin, Dirk Padfield, James Ross, Tao Yang, Shu-Yen Wan, Nicholas Linger, Pinyo Taeprasartsit, Mike Graham, and Duane Cornish from Penn State University, who helped construct the system and participated in many of the tests. We would also like to thank Rebecca Bascom, Milos Tucakovic, Rickhesvar Mahraj, Jenn Toth, Marina Dolina, Christopher Cope, and Larisa Buyantseva from Penn State’s Hershey Medical Center, who provided data and participated in some of the tests. Finally, we would like to thank Eric Hoffman, Geoffrey McLennan, Janice Cook-Granroth, Angela Delsing, Curt Wolf, Osama Saba, Deokiee Chon, Jered Sieren, Karl Thomas, Scott Ferguson, and Alan Ross, from the University of Iowa, who participated in some of the tests. Portions of this work appeared in preliminary form at two conferences [35,56] .

PY - 2008/4

Y1 - 2008/4

N2 - Bronchoscopic biopsy of the central-chest lymph nodes is an important step for lung-cancer staging. Before bronchoscopy, the physician first visually assesses a patient's three-dimensional (3D) computed tomography (CT) chest scan to identify suspect lymph-node sites. Next, during bronchoscopy, the physician guides the bronchoscope to each desired lymph-node site. Unfortunately, the physician has no link between the 3D CT image data and the live video stream provided during bronchoscopy. Thus, the physician must essentially perform biopsy blindly, and the skill levels between different physicians differ greatly. We describe an approach that enables synergistic fusion between the 3D CT data and the bronchoscopic video. Both the integrated planning and guidance system and the internal CT-video registration and fusion methods are described. Phantom, animal, and human studies illustrate the efficacy of the methods.

AB - Bronchoscopic biopsy of the central-chest lymph nodes is an important step for lung-cancer staging. Before bronchoscopy, the physician first visually assesses a patient's three-dimensional (3D) computed tomography (CT) chest scan to identify suspect lymph-node sites. Next, during bronchoscopy, the physician guides the bronchoscope to each desired lymph-node site. Unfortunately, the physician has no link between the 3D CT image data and the live video stream provided during bronchoscopy. Thus, the physician must essentially perform biopsy blindly, and the skill levels between different physicians differ greatly. We describe an approach that enables synergistic fusion between the 3D CT data and the bronchoscopic video. Both the integrated planning and guidance system and the internal CT-video registration and fusion methods are described. Phantom, animal, and human studies illustrate the efficacy of the methods.

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3D CT-Video Fusion for Image-Guided Bronchoscopy

Abstract

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