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Pulmonary Fissure Detection in 3D CT Images Using a Multiple Section Model

Runing Xiao, Jinzhi Zhou
2019 Algorithms  
However, the automatic detection of pulmonary fissures in CT images is a difficult task due to complex factors like their 3D membrane shape, intensity variation and adjacent interferences.  ...  Finally, a multiple section model was proposed for pulmonary fissure integration and segmentation.  ...  Conclusions A multiple section model and related detection scheme for pulmonary fissure detection in CT images was proposed in this paper.  ... 
doi:10.3390/a12040075 fatcat:nttxoclc4ja4bkw3ygbz2eo3xq

Lung fissure detection in CT images using global minimal paths

Vikram Appia, Uday Patil, Bipul Das, Benoit M. Dawant, David R. Haynor
2010 Medical Imaging 2010: Image Processing  
In this paper, we propose a semi-automated fissure segmentation algorithm using a minimal path approach on CT images.  ...  , (c) curvature in 2D, (d) continuity in 3D.  ...  Section 3 details how this is adapted for fissure detection in CT images.  ... 
doi:10.1117/12.844595 dblp:conf/miip/AppiaPD10 fatcat:ud63fwjul5ejppzbksr7tifoea

Pulmonary Fissure Segmentation in CT Images Based on ODoS Filter and Shape Features [article]

Yuanyuan Peng, Pengpeng Luan, Hongbin Tu, Xiong Li, Ping Zhou
2022 arXiv   pre-print
Priori knowledge of pulmonary anatomy plays a vital role in diagnosis of lung diseases. In CT images, pulmonary fissure segmentation is a formidable mission due to various of factors.  ...  Considering the shape difference between pulmonary fissures and tubular structures in magnitude field, a shape measure approach and a 3D skeletonization model are combined to segment pulmonary fissures  ...  JTYB20-33), the Scientific and Technological Research Project of Education Department in Jiangxi Province (no. GJJ190356) and the Science and Technology project of Changsha City (no. kq2001014).  ... 
arXiv:2201.09163v1 fatcat:7zchebe7hfffrhwdcocbmjciou

Identification of pulmonary fissures using a piecewise plane fitting algorithm

Suicheng Gu, David Wilson, Zhimin Wang, William L. Bigbee, Jill Siegfried, David Gur, Jiantao Pu
2012 Computerized Medical Imaging and Graphics  
Whereas CT images can be regarded as a cloud of points, the underlying idea is to search for surface-like structures in the three dimensional (3D) Euclidean space by using an efficient plane fitting algorithm  ...  We describe an automated computerized scheme to identify pulmonary fissures depicted in chest computed tomography (CT) examinations from a novel perspective.  ...  Pittsburgh, the SPORE in Lung Cancer Career Development Program, and the Bonnie J.  ... 
doi:10.1016/j.compmedimag.2012.06.001 pmid:22749811 pmcid:PMC3432180 fatcat:ukefvy6zyjfibkmgaf2oai2hkm

A derivative of stick filter for pulmonary fissure detection in CT images

Changyan Xiao, Marius Staring, Juan Wang, Denis P. Shamonin, Berend C. Stoel, Sebastien Ourselin, David R. Haynor
2013 Medical Imaging 2013: Image Processing  
We propose a derivative of stick (DoS) filter for pulmonary fissures detection in thoracic CT scans by considering their thin curvilinear shape across multiple transverse planes.  ...  Pulmonary fissures are important landmarks for automated recognition of lung anatomy and need to be detected as a pre-processing step.  ...  DISCUSSION AND CONCLUSION We proposed a filter for pulmonary fissures detection in thoracic CT images.  ... 
doi:10.1117/12.2006566 dblp:conf/miip/XiaoSWSS13 fatcat:6sr5x5pchjdtzengfgjuuemzoy

A dual‐attention V‐network for pulmonary lobe segmentation in CT scans

Shaohua Zheng, Weiyu Nie, Lin Pan, Bin Zheng, Zhiqiang Shen, Liqin Huang, Chenhao Pei, Yuhang She, Liuqing Chen
2021 IET Image Processing  
First, a novel dual-attention module to capture global contextual information and model the semantic dependencies in spatial and channel dimensions is introduced.  ...  Recently, convolution neural network has exerted a tremendous impact on medical image analysis.  ...  A possible future research direction is to extend the network as a backbone to detect and segment lung nodules, which is an interesting topic in lung CT image analysis.  ... 
doi:10.1049/ipr2.12133 fatcat:ahcfwo7g35farghiazceld5ro4

Pulmonary fissure segmentation on CT

Jingbin Wang, Margrit Betke, Jane P. Ko
2006 Medical Image Analysis  
This paper describes a new approach for segmenting the major fissures in both lungs on thin-section computed tomography (CT).  ...  An image transformation called "ridge map" is proposed for enhancing the appearance of fissures on CT.  ...  Zhang et al. (2006) and Zhang (2002) analyzed 1.2-3-mm CT sections using a ''ridge operator'' to enhance the fissural contrast; in their method, a pulmonary atlas was used to initialize the fissure  ... 
doi:10.1016/ pmid:16807062 pmcid:PMC2359730 fatcat:did4w3rp7nb7xdknborstpzhri

Pulmonary Lobe Segmentation in CT Images Based on Lung Anatomy Knowledge

Yuanyuan Peng, Hualan Zhong, Zheng Xu, Hongbin Tu, Xiong Li, Lan Peng, Seungik Baek
2021 Mathematical Problems in Engineering  
In computed tomography (CT) images, pulmonary lobe segmentation is an arduous task due to its complex structures.  ...  Finally, a surface fitting model is employed to complete the incomplete fissure surface for lung lobe segmentation.  ...  in Figure 8 . ey divided the enhanced 3D CT image into n overlapped subregions, and the subregions are marked with R 1 , R 2 , . . .  ... 
doi:10.1155/2021/5588629 fatcat:ynuij6buqfckfecf2y7p6z5onu

Efficient Segmentation of Lung Using FIDRM Filter and Successive Peak Quantization Transform

Mohamed Firdouse, Mururgan Balasubramanian
2018 International Journal of Intelligent Engineering and Systems  
Prior to SPQT lung segmentation, the lung image which may contain impulse noise is reduced into noise free one by using 'Fuzzy Impulse Detection and Reduction Method' (FIDRM).  ...  This paper proposes a novel method to segment the left and right lungs from the background of CT images to assist the pathologists for the easy and accurate diagnosis of pulmonary diseases.  ...  The method in [22] models the stack of chest CT scans in connection with 3D Markov-Gibbs Random Field of voxel wise lungs and CT image intensities. 3D chest scans are pre-processed by region growing  ... 
doi:10.22266/ijies2018.0430.13 fatcat:p26hosuuxnc6dmwq5a7ycpjcmq

Three-dimensional printing technology for localised thoracoscopic segmental resection for lung cancer: a quasi-randomised clinical trial

Yangming Chen, Jiguang Zhang, Qianshun Chen, Tian Li, Kai Chen, Qinghua Yu, Xing Lin
2020 World Journal of Surgical Oncology  
This study aimed to establish a lung tumour and an anatomical lung model using 3D printing and 3D chest CT reconstruction and to evaluate the clinical potential of 3D printing technology in uniportal video-assisted  ...  simulated surgery that were performed with 3D chest CT reconstruction and 3D printing, and group B, patients who underwent chest CT scans with image enhancement for 3D reconstruction.  ...  image, and 3D model of the same case. a The patient's two-dimensional (2D) computed tomography (CT) image showing a part-ground glass nodule (pGGN) in the left upper lung. b-e count the number of CT  ... 
doi:10.1186/s12957-020-01998-2 pmid:32838798 pmcid:PMC7446226 fatcat:qhlugkti6vfwxjidadmls7xodq

Stratified learning of local anatomical context for lung nodules in CT images

Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim Boyer, Arun Krishnan, Marcos Salganicoff
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
In this paper, we propose a stratified statistical learning approach to recognize whether a candidate nodule detected in CT images connects to any of three other major lung anatomies, namely vessel, fissure  ...  The automatic detection of lung nodules attached to other pulmonary structures is a useful yet challenging task in lung CAD systems.  ...  The use of intensity contrast based pairwise potential Eq.(3) is motivated by the observation that voxels within a single pulmonary structure of interest usually show similar intensities in lung CT images  ... 
doi:10.1109/cvpr.2010.5540008 dblp:conf/cvpr/WuLBSBKS10 fatcat:6pgywpt63jhfjdqbsxrjwusdby

Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images

Hidenori Shikata, Geoffrey McLennan, Eric A. Hoffman, Milan Sonka
2009 International Journal of Biomedical Imaging  
This paper describes an algorithm for extracting pulmonary vascular trees (arteries plus veins) from three-dimensional (3D) thoracic computed tomographic (CT) images.  ...  Our hybrid segmentation algorithm provides a highly reliable method of segmenting the combined pulmonary venous and arterial trees which in turn will serve as a critical starting point for further quantitative  ...  The work was supported in part by NIH RO1-HL-64368 and RO1-HL-60158.  ... 
doi:10.1155/2009/636240 pmid:20052391 pmcid:PMC2801012 fatcat:x2muppxydjb6dogidg5pinp4tm

Pulmonary Lobe Segmentation in CT Examinations Using Implicit Surface Fitting

Jiantao Pu, Bin Zheng, J.K. Leader, C. Fuhrman, F. Knollmann, A. Klym, D. Gur
2009 IEEE Transactions on Medical Imaging  
A previously developed statistically based approach is used to detect pulmonary fissures and the constraint points for implicit surface fitting are selected from detected fissure surfaces in a greedy manner  ...  The unique characteristic of this scheme is the representation of fissures in the form of implicit functions using Radial Basis Functions (RBFs), capable of seamlessly interpolating "holes" in the detected  ...  Acknowledgments This work is supported in part by grants P50 HL084948, R01 HL085096 and R01 HL095397 from National Heart, Lung, and Blood Institute, National Institutes of Health, to the University of  ... 
doi:10.1109/tmi.2009.2027117 pmid:19628453 pmcid:PMC2839920 fatcat:iyaq63gh3bc7ndfeokxe73tgre

Automatic pulmonary fissure detection and lobe segmentation in CT chest images

Shouliang Qi, Han J W van Triest, Yong Yue, Mingjie Xu, Yan Kang
2014 BioMedical Engineering OnLine  
Based on CT images, the automatic algorithm to detect the fissures and divide the lung into five lobes will help regionally quantify, amongst others, the lung density, texture, airway and, blood vessel  ...  The fissure detection works for the data with a small lung nodule nearby the fissure and a small lung subpleural nodule. The volume and emphysema index of each lobe can be calculated.  ...  Step 2 The above slides are then processed using a method named Sagittal Adaptive Fissure Scanning (SAFS) as illustrated in next section, to detect the fissure region (FR).  ... 
doi:10.1186/1475-925x-13-59 pmid:24886031 pmcid:PMC4022789 fatcat:nr6rxiybaravvcof47vfmkbn2u

3D CT simulation in minimally invasive thoracic surgery

Toshihiko Sato, Hiroshi Date
2017 Journal of Visualized Surgery  
Now advancement of CT images provides vital information for surgeons and has realized pre-and intra-operative simulation and navigation in minimally invasive thoracoscopic lobectomy.  ...  In the history of CT, notable progress was accomplished around the year of 2000 by multi-detector scanning CT which could provide volume data of the objects and establish three-dimensional visualization  ...  In both technology, threedimensional (modeling) image processed by the raw volume CT data, subsequently process these data stereoscopically with a two-dimensional image (rendering).  ... 
doi:10.21037/jovs.2016.12.14 pmid:29078589 pmcid:PMC5637706 fatcat:hheg5j6qvra7jeqoavejj7jlxe
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