Method for continuous guidance of endoscopy

Merritt, Scott A.; Rai, Lav; Gibbs, Jason D.; Yu, Kun Chang; Higgins, William E.

doi:10.1117/12.708532

Cited by 8 publications

(11 citation statements)

References 32 publications

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“…But by registering and fusing the MDCT and video sources, our system can provide a view of these extraluminal ROIs on the live video. Refer to [38] for further discussion.…”

Section: Efficiency Of the Live-wire Methodsmentioning

confidence: 98%

“…This procedure requires prior off-line 3D MDCT-based preplanning followed by live bronchoscopic guidance. For the past several years, we have been devising a system for MDCT-based planning and guidance of bronchoscopy [37,38]. A substantial aspect of this problem is the definition of the 3D centralchest lymph nodes.…”

Section: Efficiency Of the Live-wire Methodsmentioning

confidence: 99%

“…The tool can be run on transverse, sagittal, and coronal sections and constitutes part of a system we have been devising for MDCT-based planning and guidance of bronchoscopy [37,38] (see Sect. "Application to the planning and guidance of bronchoscopy").…”

Section: Computer Implementationmentioning

confidence: 99%

“…Finally, we describe an interactive tool that incorporates these methods. The tool constitutes part of a large system we have been devising for 3D chest image assessment and for planning and guiding bronchoscopy [37,38].…”

Section: Introductionmentioning

confidence: 99%

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Interactive segmentation based on the live wire for 3D CT chest image analysis

Lü

Higgins

2007

Int J CARS

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Object The definition of regions of interest (ROIs) such as suspect cancer nodules or lymph nodes in 3D MDCT chest images is often difficult because of the complexity of the phenomena that give rise to them. Manual slice tracing has been used commonly for such problems, but it is extremely time consuming, subject to operator biases, and does not enable reproducible results. Proposed automated 3D imagesegmentation methods are generally application dependent, and even the most robust methods have difficulty in defining complex ROIs. Materials and methods The semi-automatic interactive paradigm known as live wire has been proposed by researchers, whereby the human operator interactively defines an ROI's boundary, guided by an active automated method. We propose 2D and 3D live-wire methods that improve upon previously proposed techniques. The 2D method gives improved robustness and incorporates a search region to improve computational efficiency. The 3D method requires the operator to only consider a few 2D slices, with an automated procedure performing the bulk of the analysis. Results For tests run with five human operators on both 2D and 3D ROIs in 3D MDCT chest images, the reproducibility was >97% and the ground-truth correspondence was at least 97%. The 2D live-wire approach was ≥14 times faster than manual slice tracing, while the 3D method was ≥28 times faster than manual slice tracing. Finally, we describe a computer-based tool and its application to 3D MDCT-based planning and follow-on live guidance of bronchoscopy. Conclusion The live-wire methods are efficient, reliable, easy to use, and applicable to a wide range of circumstances.

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“…But by registering and fusing the MDCT and video sources, our system can provide a view of these extraluminal ROIs on the live video. Refer to [38] for further discussion.…”

Section: Efficiency Of the Live-wire Methodsmentioning

confidence: 98%

Section: Efficiency Of the Live-wire Methodsmentioning

confidence: 99%

Section: Computer Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Interactive segmentation based on the live wire for 3D CT chest image analysis

Lü

Higgins

2007

Int J CARS

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“…But more definitive 3D MDCT-based path planning would offer a more exhaustive and straightforward means for preplanning appropriate endobronchial routes for maneuvering the bronchoscope through the complex airway tree and would specify the final biopsy site (often invisible in current practice) definitively [66]. Finally, recent developments in real-time continuous CTvideo registration during bronchoscopy could potentially further improve image-based guidance [67,68].…”

Section: Discussionmentioning

confidence: 99%

3D CT-Video Fusion for Image-Guided Bronchoscopy

Higgins¹,

Helferty²,

Lü³

et al. 2008

Computerized Medical Imaging and Graphics

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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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Image-Based Reporting for Bronchoscopy

Yu¹,

Gibbs

Graham

et al. 2008

J Digit Imaging

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Bronchoscopy is often performed for staging lung cancer. The recent development of multidetector computed tomography (MDCT) scanners and ultrathin bronchoscopes now enable the bronchoscopic biopsy and treatment of peripheral diagnostic regions of interest (ROIs). Because these ROIs are often located several generations within the airway tree, careful planning and interpretation of the bronchoscopic route is required prior to a procedure. The current practice for planning bronchoscopic procedures, however, is difficult, error prone, and time consuming. To alleviate these issues, we propose a method for producing and previewing reports for bronchoscopic procedures using patient-specific MDCT chest scans. The reports provide quantitative data about the bronchoscopic routes and both static and dynamic previews of the proper airway route. The previews consist of virtual bronchoscopic endoluminal renderings along the route and three-dimensional cues for a final biopsy site. The reports require little storage space and computational resources, enabling physicians to view the reports on a portable tablet PC. To evaluate the efficacy of the reporting system, we have generated reports for 22 patients in a human lung cancer patient pilot study. For 17 of these patients, we used the reports in conjunction with live image-based bronchoscopic guidance to direct physicians to central chest and peripheral ROIs for subsequent diagnostic evaluation. Our experience shows that the tool enabled useful procedure preview and an effective means for planning strategy prior to a live bronchoscopy.

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Method for continuous guidance of endoscopy

Cited by 8 publications

References 32 publications

Interactive segmentation based on the live wire for 3D CT chest image analysis

Interactive segmentation based on the live wire for 3D CT chest image analysis

3D CT-Video Fusion for Image-Guided Bronchoscopy

Image-Based Reporting for Bronchoscopy

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