Three-dimensional imaging of thoracic diseases with multi-detector row CT

Ueno, Junji; Murase, Tomoya; Yoneda, Kazunari; Tsujikawa, Tetsuya; Shoji, Shuichi; Kondoh, Kazuya

doi:10.2152/jmi.51.163

Cited by 25 publications

(20 citation statements)

References 15 publications

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“…In particular, all of these systems link the preprocedure MDCT scan and live bronchoscopic video via MDCT-based virtual bronchoscopy (VB) [2], [10], [18], [24]. VB involves deriving simulated endoluminal airway views, or VB views, along an airway.…”

Section: Introductionmentioning

confidence: 99%

Optimal Procedure Planning and Guidance System for Peripheral Bronchoscopy

Gibbs

Graham

Bascom

et al. 2014

IEEE Trans. Biomed. Eng.

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With the development of multidetector computed-tomography (MDCT) scanners and ultrathin bronchoscopes, the use of bronchoscopy for diagnosing peripheral lung-cancer nodules is becoming a viable option. The work flow for assessing lung cancer consists of two phases: 1) 3-D MDCT analysis and 2) live bronchoscopy. Unfortunately, the yield rates for peripheral bronchoscopy have been reported to be as low as 14%, and bronchoscopy performance varies considerably between physicians. Recently, proposed image-guided systems have shown promise for assisting with peripheral bronchoscopy. Yet, MDCT-based route planning to target sites has relied on tedious error-prone techniques. In addition, route planning tends not to incorporate known anatomical, device, and procedural constraints that impact a feasible route. Finally, existing systems do not effectively integrate MDCT-derived route information into the live guidance process. We propose a system that incorporates an automatic optimal route-planning method, which integrates known route constraints. Furthermore, our system offers a natural translation of the MDCT-based route plan into the live guidance strategy via MDCT/video data fusion. An image-based study demonstrates the route-planning method’s functionality. Next, we present a prospective lung-cancer patient study in which our system achieved a successful navigation rate of 91% to target sites. Furthermore, when compared to a competing commercial system, our system enabled bronchoscopy over two airways deeper into the airway-tree periphery with a sample time that was nearly 2 min shorter on average. Finally, our system’s ability to almost perfectly predict the depth of a bronchoscope’s navigable route in advance represents a substantial benefit of optimal route planning.

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Section: Introductionmentioning

confidence: 99%

Optimal Procedure Planning and Guidance System for Peripheral Bronchoscopy

Gibbs

Graham

Bascom

et al. 2014

IEEE Trans. Biomed. Eng.

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show abstract

“…Figures 2 and 3 illustrate other views that can appear in the GUI's display panel 3D airway tree's interior surface to define a set of airway central axes and bifurcations specifying the airway tree's complete centerline structure. Next, for each ROI, an optimization method locates a route traversing the airway tree centerline structure that is: (1) closest to the ROI and (2) enables the bronchoscope to fit through all points along the route toward the ROI. Constraint (2) simultaneously takes into account the diameter and bending properties of the bronchoscope along with the diameters of the traversed airways.…”

Section: Methodsmentioning

confidence: 99%

“…Current multi-detector computed tomography (MDCT) scanners are able to produce 3D chest scans having voxel resolution on the order of 0.5 mm [1,2]. Such scans enable the definition and visualization of small airways deep in the lung periphery.…”

Section: Introductionmentioning

confidence: 99%

Computer-Based Route-Definition System for Peripheral Bronchoscopy

2011

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Multi-detector computed tomography (MDCT) scanners produce high-resolution images of the chest. Given a patient's MDCT scan, a physician can use an image-guided intervention system to first plan and later perform bronchoscopy to diagnostic sites situated deep in the lung periphery. An accurate definition of complete routes through the airway tree leading to the diagnostic sites, however, is vital for avoiding navigation errors during image-guided bronchoscopy. We present a system for the robust definition of complete airway routes suitable for image-guided bronchoscopy. The system incorporates both automatic and semiautomatic MDCT analysis methods for this purpose. Using an intuitive graphical user interface, the user invokes automatic analysis on a patient's MDCT scan to produce a series of preliminary routes. Next, the user visually inspects each route and quickly corrects the observed route defects using the built-in semiautomatic methods. Application of the system to a human study for the planning and guidance of peripheral bronchoscopy demonstrates the efficacy of the system.

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“…Three-dimensional data analysis MDCT produces large amounts of data -a 25-second, 16-row, whole body scan produces 2100 images. The data can be rendered and displayed in a variety of formats, including isotropic viewing, maximum and minimum intensity projection, volume rendering performed from external and internal perspectives and multiplanar reformation [10].…”

Section: Increased Coveragementioning

confidence: 99%

MDCT: a new era in imaging

Rubin

2006

Eur Radiol Suppl

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Multidetector row computed tomography (MDCT) is an effective imaging technology, providing rapid and non-invasive images in three dimensions. Compared with standard computed tomography (CT), MDCT allows faster data acquisition and shorter scan times, with wider coverage, high resolution and the potential for cardiac gating. Routine thin-section acquisition allows for flexible reconstruction (thick or thin slices), while dedicated software provides three-dimensional and functional data analysis. The technology has a wide range of applications, particularly in cardiovascular medicine, where CT angiography has replaced conventional angiography in many regions of the body. Motion artefacts on cardiac scans are significantly reduced, and the diagnosis of luminal obstructive disease is enhanced. For non-cardiac applications, MDCT allows imaging of extensive arterial territories with unprecedented volumetric resolution. The detection of pulmonary emboli, characterization of arterial aneurysms and presurgical mapping are all improved substantially with MDCT. Pulmonary parenchymal imaging is enhanced, including superior lung nodule detection and better airway assessments. MDCT has rendered some diagnostic techniques, such as intravenous urography, virtually obsolete. The development of MDCT continues, with promises of further improvements and enhancements.

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Three-dimensional imaging of thoracic diseases with multi-detector row CT

Cited by 25 publications

References 15 publications

Optimal Procedure Planning and Guidance System for Peripheral Bronchoscopy

Optimal Procedure Planning and Guidance System for Peripheral Bronchoscopy

Computer-Based Route-Definition System for Peripheral Bronchoscopy

MDCT: a new era in imaging

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