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Automated Nomenclature of Bronchial Branches Extracted from CT Images and Its Application to Biopsy Path Planning in Virtual Bronchoscopy
[chapter]
2005
Lecture Notes in Computer Science
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We propose a novel anatomical labeling algorithm for bronchial branches extracted from CT images. This method utilizes multiple branching models for anatomical labeling. ...
As an application of the automated nomenclature of bronchial branches, we utilized anatomical labeling results for assisting biopsy planning. ...
There are only a few reports on automated anatomical labeling of bronchial branches extracted from CT images [1, 2, 3] . Mori et al. ...
doi:10.1007/11566489_105
fatcat:c6sfokbsbzhxhjiruspkvy4m3y
Automated Nomenclature Labeling of the Bronchial Tree in 3D-CT Lung Images
[chapter]
2002
Lecture Notes in Computer Science
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A nomenclature labeling algorithm for the human bronchial tree down to sub-lobar segments is proposed, as a means of inter and intra subject comparisons for the evaluation of lung structure and function ...
Experiments have been performed for nine airway trees extracted automatically from clinical 3D-CT data, where approximately 250 branches were contained. Of these, 95 % were accurately named. ...
Mori et al reported a knowledge-based labeling method of the bronchial branches and applied it to seven cases of CT images with a slice thickness of 2 or 3 mm [1] . ...
doi:10.1007/3-540-45787-9_1
fatcat:if2n4kqqyfe7xhr4cvcepku4ry
Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images
2006
Computerized Medical Imaging and Graphics
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A sequential region-splitting process is used to segment lungs, airway of bronchus, lung lobes and fissures based on the anatomical structures and statistical intensity distributions in CT images. ...
The performance of our scheme is evaluated by segmenting lung structures from high-resolution multi-slice chest CT images from 44 patients; the validity of our method was proved by preliminary experimental ...
Acknowledgements The authors thank the members of Fujita's Laboratory and the Virtual System Laboratory (VSL) of Gifu University for their collaboration. ...
doi:10.1016/j.compmedimag.2006.06.002
pmid:16920331
fatcat:tz3mv7qv5zccnkocchdzab75di
Robust Segmentation and Anatomical Labeling of the Airway Tree from Thoracic CT Scans
[chapter]
2008
Lecture Notes in Computer Science
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A method for automatic extraction and labeling of the airway tree from thoracic CT scans is presented and extensively evaluated on 150 scans of clinical dose, low dose and ultra-low dose data, in inspiration ...
From inspiration scans on average 170 branches are found, from expiration scans 59. ...
Introduction Multi-slice CT scanning technology has revolutionized the in vivo study of the lungs and motivates the need for pulmonary image analysis [1] . ...
doi:10.1007/978-3-540-85988-8_27
fatcat:u677etsrybdt3iylovmyhqn2h4
Automated anatomical description of pleural thickening towards improvement of its computer-assisted diagnosis
2016
Medical Imaging 2016: Computer-Aided Diagnosis
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Finally, each detected pleural thickening is assigned a set of labels describing its anatomical properties. ...
Today, pleural thickenings are detected by visual inspection of CT data, which is time-consuming and underlies the physician's subjective judgment. ...
The performance of the anatomical labeling is evaluated based on three CT data sets consisting of 284 detected thickenings. ...
doi:10.1117/12.2216939
dblp:conf/micad/ChaisaowongJFME16
fatcat:maw7gby5rrhr3nggyow4idymqq
Bronchopulmonary segments approximation using anatomical atlas
2007
Medical Imaging 2007: Image Processing
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A new ray-tracing based image registration is developed for transferring the information from the atlas to a query image. ...
Traditionally, determining the segments requires segmentation and identification of segmental bronchi, which, in turn, require volumetric imaging data. ...
Similar to how radiologists map an image to a pictorial atlas, our registration is based on anatomical landmarks and interpolation. Lung root is used to initially align a query scan to the atlas. ...
doi:10.1117/12.709651
dblp:conf/miip/BusayaratZ07
fatcat:rkmqrzdg4vhing6cbzfzpe2sg4
Computer-aided Analysis and Interpretation of HRCT Images of the Lung
[chapter]
2011
Theory and Applications of CT Imaging and Analysis
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Applications of CT Imaging and Analysis ...
We also thank radiologists Peter Wilson, Michael Jones Daniel Moses and Pravati Panigrahi for providing clinical resources, image annotation and inspection of the results. www.intechopen.com Theory and ...
Consequently, most of the automated detection algorithms, being developed to analyse CT scans are texture based. ...
doi:10.5772/14507
fatcat:6zdivmedlzc4xdxgcs7ffalvpu
Extraction of Airways From CT (EXACT'09)
2012
IEEE Transactions on Medical Imaging
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National Institutes of Health. ...
Several automated methods have been proposed to segment the airway tree from CT images. Evaluation of these methods has been problematic. ...
Figure 9b presents a diagram showing the sensitivity of the algorithms to the different anatomical labeled branches, which is def ned as the number of algorithms that detected (part of) a branch by the ...
doi:10.1109/tmi.2012.2209674
pmid:22855226
fatcat:6unhf2zlanc7joi335622svnoa
From lung images to lung models: A review
2008
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
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Automated 3D lung modeling involves analyzing 2D lung images and reconstructing a realistic 3D model of the lung. ...
This paper presents a review of the existing works on automatic formation of 3D lung models from 2D lung images. A common framework for 3D lung modeling is proposed. ...
ACKNOWLEDGMENT The support of the Victorian Partnership for Advanced Computing (VPAC) lUlder an e-Research Program Grants Scheme is gratefully acknowledged ...
doi:10.1109/ijcnn.2008.4634128
dblp:conf/ijcnn/LeeKH08
fatcat:74rnkdvoo5cxhmopimvz7kdwtu
Computer analysis of computed tomography scans of the lung: a survey
2006
IEEE Transactions on Medical Imaging
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Automating the analysis of such data is, therefore, a necessity and this has created a rapidly developing research area in medical imaging. ...
This paper presents a review of the literature on computer analysis of the lungs in CT scans and addresses segmentation of various pulmonary structures, registration of chest scans, and applications aimed ...
Based upon such segmentations, computerized schemes have been developed to label the different bronchi such that branches with problems can be pinpointed anatomically [22] , [34] , [35] . ...
doi:10.1109/tmi.2005.862753
pmid:16608056
fatcat:q5ysngkgozbbrfwn7tbb2fvunu
Segmentation of the Airway Tree from Chest CT using Tiny Atrous Convolutional Network
2021
IEEE Access
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In order to take into account the multi-scale changes of the airway and achieve accurate airway segmentation, we design an end-to-end Tiny Atrous Convolutional Network (TACNet) based on 3D convolution ...
INDEX TERMS Airway classification, convolutional neural network, deep learning, semantic segmentation, CT, medical image. ...
[9] used two passes of 3D seeded region growing to address problem of pulmonary airways investigation based on high-resolution multi-slice spiral CT chest scan. Zijian B et al. ...
doi:10.1109/access.2021.3059680
fatcat:g55kciuonjfu3is75zyv4546oq
Optimizing parameters of an open-source airway segmentation algorithm using different CT images
2015
BioMedical Engineering OnLine
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In some conditions, having an airway segmentation method which facilitates reconstruction of the airway from chest CT images can help hugely in the assessment of lung diseases. ...
The method is based on a region growing approach where trachea, right and left bronchi are cropped and segmented independently using three different thresholds. ...
In this work, we describe a semi-automated algorithm for airway segmentation in CT images based on lung-side-specific region growing approach using the intensity range of pixels. ...
doi:10.1186/s12938-015-0060-2
pmid:26112975
pmcid:PMC4482101
fatcat:j5pme5pza5htbjzhpmifzu2eyq
Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi
2013
IEEE Transactions on Medical Imaging
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In initial stage, the lobar markers are determined by the calculation of labeled bronchial tree. In initial stage of the work the pulmonary vessels are detected based on MMTD. ...
The bronchial tree is mainly applied to enhance the quality of the input image samples. ...
The image resolution of each plane is measured based on the 0.4mm, 0.8 mm, and the slice width among 0.5mm -1.5 mm. ...
doi:10.1109/tmi.2012.2219881
pmid:23014712
fatcat:uxuwrykshjagxhkf2b7c6rtjl4
Automatic Detection and Staging of Lung Tumors using Locational Features and Double-Staged Classifications
2019
Applied Sciences
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This paper presents a computer-aided diagnosis (CAD) method for detecting and staging lung cancer from computed tomography (CT) images. ...
Clinical staging of lung cancer can significantly reduce the mortality rate, because effective treatment options strongly depend on the specific stage of cancer. ...
We would also like to thank The Cancer Imaging Archive (TCIA) for publically sharing the CT scan images and clinical data which were applied in our experiments. ...
doi:10.3390/app9112329
fatcat:dw32frowfvcmvk6vmp45nnhk6q
Segmentation of distal airways using structural analysis
2019
PLoS ONE
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We have compared our method to the top performers of the EXACT09 challenge and to a commercial software for biopsy planning evaluated in an own-collected data-base of high resolution CT scans acquired ...
We present a method that combines descriptors of bronchi local appearance and graph global structural analysis to fine-tune thresholds on the descriptors adapted for each bronchial level. ...
The matching criterion uses a measure of anatomical consistency based on the complexity of a graph representation of the segmented airways. ...
doi:10.1371/journal.pone.0226006
pmid:31856216
pmcid:PMC6922352
fatcat:u2k22pv6hzfyngxxtni65ay3fe
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