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An Algorithm for the Pulmonary Border Extraction in PET Images

Fábio Nery, José Silvestre Silva, Nuno C. Ferreira, Francisco Caramelo, Ricardo Faustino
2012 Procedia Technology - Elsevier  
Additionally, an algorithm for the lung border extraction in CT images was developed in response to physicians' requirements for a better understanding of each individuals' specific anatomy.  ...  This paper presents a novel approach for the fully automatic extraction of the pulmonary boundaries for PET images based in the concept of "marker-driven watershed segmentation".  ...  Acknowledgements The authors would like to thank ICNAS for providing the PET and CT exams and to the experts that collaborated in the validation of both algorithms.  ... 
doi:10.1016/j.protcy.2012.09.097 fatcat:vnfds3ntefcipeb5cq5xjsuo24

Management of the inter-segmental plane using the "Combined Dimensional Reduction Method" is safe and viable in uniport video-assisted thoracoscopic pulmonary segmentectomy

Bin Zheng, written on behalf of the AME Thoracic Surgery Collaborative Group, Guobing Xu, Xiayu Fu, Weidong Wu, Mingqiang Liang, Taidui Zeng, Shuliang Zhang, Yong Zhu, Wei Zheng, Chun Chen, Benoît Bédat (+5 others)
2019 Translational Lung Cancer Research  
The study aimed to review the outcomes of patients who underwent uniport VATS segmentectomy with or without the CDR method in our institute and assess the feasibility and safety of the CDR method.  ...  Currently, we have provided a revised technique termed as "Combined Dimensional Reduction Method" (CDR method), for managing the ISP with combined application of ultrasonic scalpel and staplers.  ...  Follow up Patients were scheduled for follow-up examinations at our out-patient department in 1 and 3 months after surgery, and then every 3 months for the first 2 years following surgery.  ... 
doi:10.21037/tlcr.2019.09.12 pmid:31737501 pmcid:PMC6835099 fatcat:o3yjt2p25zailafu6m7iqnknza

Multi-phase simultaneous segmentation of tumor in lung 4D-CT data with context information

Zhengwen Shen, Huafeng Wang, Weiwen Xi, Xiaogang Deng, Jin Chen, Yu Zhang, Li Zeng
2017 PLoS ONE  
In this paper, we propose a new method based on an improved graph cut algorithm with context information constraint to find a convenient and robust approach of lung 4D-CT tumor segmentation.  ...  The optimization is achieved by solving a max-flow/min-cut problem, which leads to simultaneous and robust segmentation of the tumor in all the lung 4D-CT phases.  ...  The rest of our paper is organized as follows: the materials and the details of our method for the tumor segmentation of the lung 4D-CT data will be presented in Section II.  ... 
doi:10.1371/journal.pone.0178411 pmid:28622338 pmcid:PMC5473562 fatcat:vpsvk2p7lrdatiar4ev3p7c6nq

Does Anatomical Segmentectomy Allow an Adequate Lymph Node Staging for cT1a Non-small Cell Lung Cancer?

Sandro Mattioli, Alberto Ruffato, Francesco Puma, Niccolò Daddi, Beatrice Aramini, Frank D'Ovidio
2011 Journal of Thoracic Oncology  
Methods: A case-matched study was ruled on patients with peripheral cT1a N0 M0 tumors that underwent anatomical segmentectomy or lobectomy.  ...  Results: We individually matched 46 (69% men) anatomical segmentectomy with 46 (71% men) lobectomy for age, anatomical segment, and size of the tumor.  ...  Continuous variables such as age, tumor size, number of dissected lymph nodes, and follow-up duration are expressed as median and IQR.  ... 
doi:10.1097/jto.0b013e3182209063 pmid:21642864 fatcat:urpiwl4mlzcfvmzzniqoacqpya

Analysis of clinical application of thoracoscopic lobectomy for lung cancer

Qing-Quan Luo, Hao Lin, Qiang Tan, Jia Huang, Lin Xu
2014 World Journal of Surgical Oncology  
This study aimed to investigate the safety, efficacy, and feasibility of video-assisted thoracoscopic surgery (VATS) lobectomy compared with conventional lobectomy via open thoracotomy in patients with  ...  Methods: A total of 120 patients with lung cancer underwent VATS lobectomy; another 120 patients with lung cancer underwent conventional lobectomy.  ...  Follow-up The postoperative follow-up ranged from 6 months to 36 months, with follow-up rates of 94.2% in the VATS group and 91.7% in the conventional group.  ... 
doi:10.1186/1477-7819-12-157 pmid:24886331 pmcid:PMC4061527 fatcat:c24i76uawjch7polzs6ffom6wa

Deep Learning for Medical Image Analysis: Applications to Computed Tomography and Magnetic Resonance Imaging

Kyu-Hwan Jung, Hyunho Park, Woochan Hwang
2017 Hanyang Medical Reviews  
In this paper, we will review recent applications of deep learning in the analysis of CT and MR images in a range of tasks and target organs.  ...  images with respect to the target tasks.  ...  Finally, by removing segmentation leaks and holes, they could successfully segment tumors in follow up CT scans from baseline CT scans with high accuracy.  ... 
doi:10.7599/hmr.2017.37.2.61 fatcat:f4dl4szy35bhfilas3kyblzgui

Landmarking and Segmentation of 3D CT Images

Shantanu Banik, Rangaraj M. Rangayyan, Graham S. Boag
2009 Synthesis Lectures on Biomedical Engineering  
In this context, methods are described in this book for identification and segmentation of several abdominal and thoracic landmarks to assist in the segmentation of neuroblastic tumors in pediatric CT  ...  Automatic segmentation of the primary tumor mass in neuroblastoma could facilitate reproducible and objective analysis of the tumor's tissue composition, shape, and size.  ...  Some of the materials and illustrations have been reproduced, with permission from the associated organizations, and are listed below:  ... 
doi:10.2200/s00185ed1v01y200903bme030 fatcat:ci5mhkjdvfec7japexg4fczjgm

Inter-Method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-Retest Data

Andrew J. Buckler, Jovanna Danagoulian, Kjell Johnson, Adele Peskin, Marios A. Gavrielides, Nicholas Petrick, Nancy A. Obuchowski, Hubert Beaumont, Lubomir Hadjiiski, Rudresh Jarecha, Jan-Martin Kuhnigk, Ninad Mantri (+10 others)
2015 Academic Radiology  
Thirty-one lung cancer test-retest cases were analyzed by twelve participants in a multi-site study of algorithm performance on the segmentation of clinical CT scans.  ...  Inter-method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-retest Data  ...  We also acknowledge Mike McNitt-Gray of UCLA for providing the tumor measurability strata from the 1B project which he led, as well as David Clunie who provided segmentation objects from the readers in  ... 
doi:10.1016/j.acra.2015.08.007 pmid:26376841 pmcid:PMC4609285 fatcat:xxw7tmdr4fay5ky4zwjh5w4n44

Nephron-sparing percutaneous ablation of a 5 cm renal cell carcinoma by superselective embolization and percutaneous RF-ablation

J. Tacke, A. Mahnken, A. Bücker, D. Rohde, R. Günther
2001 RöFo. Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (Print)  
Abbreviations: RF = radiofrequency ablation; CT = computed tomography; HIV = human immunodeficiency virus.  ...  No complications like urinary leaks or fistulas were observed and follow up CT one day and 4 weeks after the radiofrequency intervention revealed no signs of residual tumor growth.  ...  Although these studies differ significantly in number of animals, treatment protocols and follow-up periods and, thus, are hardly comparable, no relevant complications were reported.  ... 
doi:10.1055/s-2001-18309 pmid:11704906 fatcat:vjnuv6we6jbenna6y3xzawagqu

A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging

Ulas Bagci, Brent Foster, Kirsten Miller-Jaster, Brian Luna, Bappaditya Dey, William R Bishai, Colleen B Jonsson, Sanjay Jain, Daniel J Mollura
2013 EJNMMI Research  
Second, the lungs from the CT scans were segmented using an interactive region growing (IRG) segmentation algorithm with mathematical morphology operations to avoid false positive (FP) uptake in PET images  ...  Metabolic and gross volume of lesions were automatically computed with the segmentation processes using PET and CT images, and percentage changes in those volumes over time were calculated.  ...  The rabbit infection study is funded by HHMI, NIAD R01AI079590, and R01A1035272.  ... 
doi:10.1186/2191-219x-3-55 pmid:23879987 pmcid:PMC3734217 fatcat:5niiysdkrrc7pizebe5xvugy5u

Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset

Mingjie Xu, Shouliang Qi, Yong Yue, Yueyang Teng, Lisheng Xu, Yudong Yao, Wei Qian
2019 BioMedical Engineering OnLine  
Segmentation of lung parenchyma can help locate and analyze the neighboring lesions, but is not well studied in the framework of machine learning.  ...  The obtain model can segment the lung parenchyma accurately for 201 subjects with heterogeneous lung diseases and CT scanners.  ...  Patrice Monkam for his valuable help in the writing of this manuscript.  ... 
doi:10.1186/s12938-018-0619-9 fatcat:cjmejbalbfajpa6powubg7gobm

Percutaneous Cryoablation of Pulmonary Metastases from Colorectal Cancer

Yoshikane Yamauchi, Yotaro Izumi, Masafumi Kawamura, Seishi Nakatsuka, Hideki Yashiro, Norimasa Tsukada, Masanori Inoue, Keisuke Asakura, Hiroaki Nomori, Adam I. Marcus
2011 PLoS ONE  
Methods: The procedures were performed on 24 patients (36-82 years of age, with a median age of 62; 17 male patients, 7 female patients) for 55 metastatic tumors in the lung, during 30 sessions.  ...  The procedural safety, local progression free interval, and overall survival were assessed by follow-up computed tomographic scanning performed every 3-4 months.  ...  Patients with more than 3 years of follow-up were reviewed.  ... 
doi:10.1371/journal.pone.0027086 pmid:22096520 pmcid:PMC3212539 fatcat:xox2uaxqlfd7fljhr6bayryopy

Techniques Used in Lung Metastasectomy

Federico Venuta, Axel Rolle, Marco Anile, Nicola Martucci, Beata Bis, Gaetano Rocco
2010 Journal of Thoracic Oncology  
in 2004 reporting on 63 primary or metastatic lung cancers with percutaneous CT-guided radiofrequency ablation claimed a complete tumor necrosis response rate in 92% with a mean follow up period of 9  ...  [35] [36] [37] [38] [39] [40] [41] [42] There is heterogeneity in these studies, including various approaches (percutaneous or open), type of device, patient characteristics and duration of follow-up  ... 
doi:10.1097/jto.0b013e3181dcf76d pmid:20502250 fatcat:ljym36teqbdkzc7izpcpf3vxiy

Intelligent Recognition of Lung Nodule Combining Rule-based and C-SVM Classifiers

Bin Li, Jing Zhang, Lianfang Tian, Li Tan, Shijie Xiang, Shanxing Ou
2011 International Journal of Computational Intelligence Systems  
In order to overcome the difficulties of obvious boundary-leak and slow evolvement speed problem in segmentatioin of weak edge, an overall segmentation method is proposed, they are: the lung parenchyma  ...  Computer-aided detection(CAD) system for lung nodules plays the important role in the diagnosis of lung cancer.  ...  As the lung is essentially a bag of air in the body, it shows up as a dark region in CT scans.  ... 
doi:10.2991/ijcis.2011.4.5.20 fatcat:o7ocwk6nlzbphnqvjbcyqkjtye

Intelligent Recognition of Lung Nodule Combining Rule-based and C-SVM Classifiers

Bin Li, Shanxing Ou
2011 International Journal of Computational Intelligence Systems  
In order to overcome the difficulties of obvious boundary-leak and slow evolvement speed problem in segmentatioin of weak edge, an overall segmentation method is proposed, they are: the lung parenchyma  ...  Computer-aided detection(CAD) system for lung nodules plays the important role in the diagnosis of lung cancer.  ...  As the lung is essentially a bag of air in the body, it shows up as a dark region in CT scans.  ... 
doi:10.1080/18756891.2011.9727845 fatcat:dihlzn7pw5dsxfbkwco363pfpa
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