Bronchoscopy

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Bronchoscopy is a technique of visualizing the inside of the airways for diagnostic and therapeutic purposes. (Wikipedia.org)






Conferences related to Bronchoscopy

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2019 International Conference on Robotics and Automation (ICRA)

Flagship conference of the robotics and automation society, a premiere international venue for international robotics researchers


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Periodicals related to Bronchoscopy

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Magnetics, IEEE Transactions on

Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The Transactions publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.


Mechatronics, IEEE/ASME Transactions on

Synergetic integration of mechanical engineering with electronic and intelligent computer control in the design and manufacture of industrial products and processes. (4) (IEEE Guide for Authors) A primary purpose is to have an aarchival publication which will encompass both theory and practice. Papers will be published which disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and ...


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Most published Xplore authors for Bronchoscopy

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Xplore Articles related to Bronchoscopy

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Recognition of bronchus in three-dimensional X-ray CT images with applications to virtualized bronchoscopy system

Proceedings of 13th International Conference on Pattern Recognition, 1996

In this paper we present a procedure to extract bronchus area from 3D chest X-ray CT images. Extraction of bronchus from chest X-ray CT images is of critical importance for both the computer aided detection of lung cancer and the virtual bronchoscopy system. This procedure consists of three major steps: 1) calculation of a start point for region growing; 2) ...


Navigation system for bronchofiberoscopic procedures based on image registration with scale adaptive image similarity measure

2005 13th European Signal Processing Conference, 2005

Navigation system for bronchofiberoscopic procedures establishes the location of the tip of the endoscope through the registration of two images: the real image from endoscope camera and the virtual bronchoscopy image obtained in real-time from computer tomography data. Because of the difference between images modality multiscale image registration algorithm with appropriate choice of similarity measure at each level of registration ...


Voxel volumes volume-oriented visualization system

Proceedings Shape Modeling International '99. International Conference on Shape Modeling and Applications, 1999

High-speed and effective algorithm of volume rendering is proposed. New methods of object representation by using unified freeforms and arbitrary algebraic surfaces are suggested as well. Proposed algorithm allows to lower complexity of computations, memory and bandwidth requirements in comparison with known methods. The prototyping of hardware system allows operating in real-time with high-quality images. Proposed systems are targeted for ...


Acoustic Monitoring of Lung Sounds for the Detection of One Lung Intubation

2006 International Conference on Information Technology: Research and Education, 2006

One lung intubation (OLI) is a major incident during endotracheal intubation. Monitoring methods used today have been found to be non specific and controversial regarding its early diagnosis. We have developed a new system which detects OLI based on electronic lung sounds analysis during artificial ventilation. 24 adult surgical patients schedualed for routine surgical procedures were included. Lung sound sampling ...


Navigated bronchoscopy using intraoperative fluoroscopy and preoperative CT

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012

Bronchoscopic biopsies for diagnosis of lung cancer are usually done with the help of intraoperative fluoroscopy. But fluoroscopy images lack 3D information and do not provide a clear view of the bronchi or lesions. Our goal is to enhance the physician's view by overlaying the intraoperative fluoroscopy images with both 2D and 3D airway visualizations from preoperatively taken CT scans. ...


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Educational Resources on Bronchoscopy

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Bronchoscopy"

IEEE-USA E-Books

  • Recognition of bronchus in three-dimensional X-ray CT images with applications to virtualized bronchoscopy system

    In this paper we present a procedure to extract bronchus area from 3D chest X-ray CT images. Extraction of bronchus from chest X-ray CT images is of critical importance for both the computer aided detection of lung cancer and the virtual bronchoscopy system. This procedure consists of three major steps: 1) calculation of a start point for region growing; 2) determination of the optimum threshold value; and 3) final extraction of bronchus area with the optimum threshold value. The proposed procedure extracts the bronchus area by following the inside points of bronchus. A 3D region growing method, called the 3D painting algorithm, is developed to perform this. The position of a starting point for the 3D painting algorithm is selected in the trachea automatically by using the shape features of trachea. Also this procedure can search the optimum threshold value by using the information of bronchus shape. We applied this method to real three dimensional X-ray CT images and confirmed that it worked satisfactorily.

  • Navigation system for bronchofiberoscopic procedures based on image registration with scale adaptive image similarity measure

    Navigation system for bronchofiberoscopic procedures establishes the location of the tip of the endoscope through the registration of two images: the real image from endoscope camera and the virtual bronchoscopy image obtained in real-time from computer tomography data. Because of the difference between images modality multiscale image registration algorithm with appropriate choice of similarity measure at each level of registration algorithm is proposed. The motivation for such an approach is observation that at a lowest resolution level difference between images modality (resulting in difference in images appearance) have much less impact on similarity measure value than mismatch in virtual and real camera position. Presented method is robust to local minima, guarantee faster convergence and enables real-time implementation.

  • Voxel volumes volume-oriented visualization system

    High-speed and effective algorithm of volume rendering is proposed. New methods of object representation by using unified freeforms and arbitrary algebraic surfaces are suggested as well. Proposed algorithm allows to lower complexity of computations, memory and bandwidth requirements in comparison with known methods. The prototyping of hardware system allows operating in real-time with high-quality images. Proposed systems are targeted for scientific visualization, medical applications such as virtual bronchoscopy, endoscopy, and tomography, fly through a virtual patient; virtual reality- based systems and high fidelity conventional image generators. Primary goal of the project is the development of algorithm and 3D data presentations for fast volume-rendering, evaluation of developed algorithms in order to find optimal hardware architecture of real-time image generator.

  • Acoustic Monitoring of Lung Sounds for the Detection of One Lung Intubation

    One lung intubation (OLI) is a major incident during endotracheal intubation. Monitoring methods used today have been found to be non specific and controversial regarding its early diagnosis. We have developed a new system which detects OLI based on electronic lung sounds analysis during artificial ventilation. 24 adult surgical patients schedualed for routine surgical procedures were included. Lung sound sampling was done during induction to anesthesia and tube positioning by four piezoelectric microphones attached to the patients' back. To achieve OLI, the endotracheal tube was inserted and advanced down the airway so that no left breath sounds were heard; the tube was then withdrawn stepwise until equal breath sounds could be heard. The final position of the tube was confirmed by fiberoptic bronchoscopy. The sampled lung sound were processed by an algorithm which assumes a MIMO (multi input multi output) system; in which a multi-dimensional auto-regressive (AR) model relates the input (lungs) and the output (recorded sounds). A detector for OLI was developed, based on a generalized likelihood ratio test, which was implemented under a coherent sources assumption. Based on this new algorithm the probability of OLI detection is 95.2% with a probability of 4.8% false alarm. We can assume even higher values of detection, depending on the sensitivity wanted, taking in mind higher incidence of false alarms. We present a new device, already in prototype, which detects OLI in various clinical scenarios with a very high degree of accuracy.

  • Navigated bronchoscopy using intraoperative fluoroscopy and preoperative CT

    Bronchoscopic biopsies for diagnosis of lung cancer are usually done with the help of intraoperative fluoroscopy. But fluoroscopy images lack 3D information and do not provide a clear view of the bronchi or lesions. Our goal is to enhance the physician's view by overlaying the intraoperative fluoroscopy images with both 2D and 3D airway visualizations from preoperatively taken CT scans. The presented system provides automatic airway segmentation and skeletonization as well as automatic 2D/3D alignment of fluoroscopy to CT. The results are used for correctly overlaying the airways and visualizing bronchoscopic paths. The only additional equipment needed is a specifically designed pattern of steel spheres and sticks on acrylic glass, which is fixed on the patient table. It is used for estimating the C-arm pose during image acquisition and allows 2D/3D image alignment in clinically feasible time (<;6s) and accuracy (mTRE<;0.33mm on simulated data). No interference with the physician's standard bronchoscopy procedure is introduced and no additional radiation exposure is required. On the contrary, by improving the physician's view and orientation inside the bronchial tree, a faster and more target- oriented guidance to the site of interest is possible.

  • 3D Virtual Bronchoscopy Navigation System

    Virtual bronchoscopy (VB) plays an important role in the evaluation of chest diseases. Our goal is to develop a new Virtual Bronchoscopy Positioning and Navigation system (VBPN) to control the reality and virtual environment simultaneously, which can guide the bronchoscopy to the destination according to the data from sensor. The VBPN is composed by pre-processing and interactive simulation framework. This paper researches the key technologies of VBPN, including airway tree segment, centerline analysis, path planning. The experiment results show that it can view the trachea and more deep bronchial branches from the different angles.

  • Computer-assisted soft tissue interventions

    Computer-assisted therapy in clinical routine is still limited to structures that remain rigid with respect to reference points. Soft tissue generally shows significant motion due to respiration, heart beat, and the interventional procedure itself. Therefore, computer assistance for soft tissue interventions requires strategies to capture and compensate for motion. Since a general solution to the problem is not available, application specific methods have to be developed. The paper presents approaches for computed tomography (CT) guided liver interventions, bronchoscopy, and laparoscopic radical prostatectomy.

  • Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy

    Endobronchial navigation system in the transbronchial lung biopsy is an important tool during the operation, including the alignment of bronchoscopic images and preoperative CT image, to help the precise positioning of target lesions. In this study, a new method with coarse-to-fine strategy is proposed to achieve this goal. First of all, with the aid of optical flow method, epipolar geometry analysis between the two consequential images is used to obtain the initial position of the bronchoscopy. Next, in the stage of image similarity comparison, the property of image saturation and brightness is employed to effectively eliminate the reflection caused by the endoscope light source and the bubbles generated by saliva interference. The experimental results also show that the proposed method can provide clinicians the spatial information needed for bronchoscopic follow-up.

  • Virtual bronchoscopy motion planner

    In this paper, we offer a virtual bronchoscopy simulator as an assistance exploration tool and diagnosis of peripheral lung nodule lesions. We present a proposal for motion planning to a interest region in the lung nodule based on RRT (Rapidly-Exploring Random Trees). Navigation will be guided by this path in a 3d virtual lung reconstructed from CT images. We compare several RRT- algorithm looking for the optimal option for the virtual bronchoscopy problem.

  • Combined endoscopic video tracking and virtual 3D CT registration for surgical guidance

    Bronchoscopic needle biopsy is a common step for early lung-cancer detection. This procedure uses two steps: (1) 3D computed-tomography (CT) chest image analysis, to choose a biopsy site; (2) live bronchoscopy, to perform the biopsy. CT-based virtual endoscopic analysis can improve the results of biopsies, yet errors can still occur. We describe a procedure to combine the endoscopic video tracking (the "real" world) and CT-based virtual endoscopic registration (the "virtual" world). By bringing both sources of information together, a more robust surgical guidance system is realizable. Both the endoscope's video and the thoracic CT scan are used as data sources in the tracking. An optical flow algorithm estimates the endoscope motion between successive video frames. The virtual CT rendering creates a range map for the optical flow equation. This simplifies the endoscope movement calculation into a straightforward linear system. We demonstrate this method for a phantom human airway-tree example.



Standards related to Bronchoscopy

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