scholarly journals Pulmonary Lobe Segmentation in CT Images Based on Lung Anatomy Knowledge

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Yuanyuan Peng ◽  
Hualan Zhong ◽  
Zheng Xu ◽  
Hongbin Tu ◽  
Xiong Li ◽  
...  
Keyword(s):  
Left Lung ◽  
Region Of Interest ◽  
Ground Truth ◽  
Ct Images ◽  
Lung Lobe ◽  
Lung Anatomy ◽  
Lobe Segmentation ◽  
The Right ◽  
Anatomy Knowledge ◽  
High Median

In computed tomography (CT) images, pulmonary lobe segmentation is an arduous task due to its complex structures. To remedy the problem, we introduce a new framework based on lung anatomy knowledge for lung lobe segmentation. Firstly, the priori knowledge of lung anatomy is used to identify the fissure region of interest. Then, an oriented derivative of stick filter is applied to isolate plate-like structures from clutters for lobar fissure verification. Finally, a surface fitting model is employed to complete the incomplete fissure surface for lung lobe segmentation. Compared with manually segmented fissure references, the designed approach obtained a high median F1-score of 0.8865 in the left lung and obtained a high median F1-score of 0.9200 in the right lung. The average percentages of the segmented lung lobes in the lung lobe ground truth are 0.960, 0.989, 0.973, 0.920, and 0.985 for the left upper, left lower, right upper, right middle, and right lower lobes, respectively. The perfect performance of the proposed scheme is tested by visual inspection and quantitative evaluation.

Fully automatic lung lobe segmentation using V/Q SPECT/CT images

2020 ◽  
Author(s):  
A Király ◽  
S Urbán ◽  
Z Besenyi ◽  
L Pávics ◽  
N Zsótér ◽  
...  
Keyword(s):  
Ct Images ◽  
Lung Lobe ◽  
Fully Automatic ◽  
Lobe Segmentation

scholarly journals Lung Lobe Segmentation Based on Lung Fissure Surface Classification Using a Point Cloud Region Growing Approach

Algorithms ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 263
Author(s):  
Xin Chen ◽  
Hong Zhao ◽  
Ping Zhou
Keyword(s):  
Point Cloud ◽  
Principal Component ◽  
Region Growing ◽  
Disease Diagnosis ◽  
Ct Images ◽  
Normal Vector ◽  
Lung Lobe ◽  
Surface Classification ◽  
Lobe Segmentation ◽  
Lung Lobes

In anatomy, the lung can be divided by lung fissures into several pulmonary lobe units with specific functions. Identifying the lung lobes and the distribution of various diseases among different lung lobes from CT images is important for disease diagnosis and tracking after recovery. In order to solve the problems of low tubular structure segmentation accuracy and long algorithm time in segmenting lung lobes based on lung anatomical structure information, we propose a segmentation algorithm based on lung fissure surface classification using a point cloud region growing approach. We cluster the pulmonary fissures, transformed into point cloud data, according to the differences in the pulmonary fissure surface normal vector and curvature estimated by principal component analysis. Then, a multistage spline surface fitting method is used to fill and expand the lung fissure surface to realize the lung lobe segmentation. The proposed approach was qualitatively and quantitatively evaluated on a public dataset from Lobe and Lung Analysis 2011 (LOLA11), and obtained an overall score of 0.84. Although our approach achieved a slightly lower overall score compared to the deep learning based methods (LobeNet_V2 and V-net), the inter-lobe boundaries from our approach were more accurate for the CT images with visible lung fissures.

A feedback system to control blood flow in dog lung lobes

1982 ◽  
Vol 53 (6) ◽  
pp. 1650-1652
Author(s):  
R. E. Drake ◽  
D. K. Adcock ◽  
R. L. Scott ◽  
J. C. Gabel
Keyword(s):  
Blood Flow ◽  
Left Lung ◽  
Electromagnetic Flowmeter ◽  
Feedback System ◽  
Relative Magnitude ◽  
Left Lobe ◽  
Lung Lobe ◽  
Flow Signal ◽  
Right Pulmonary Artery ◽  
The Right

We have developed an electromechanical feedback system to control blood flow to the lower left lung lobe of dogs. Blood flow is measured with an electromagnetic flowmeter. The feedback system compares the blood flow signal to an adjustable reference voltage and causes a motor to turn. The direction of motor rotation depends on the relative magnitude of the flow signal and the reference. The motor pushes the plunger of a syringe that is attached to a balloon in the right pulmonary artery. Inflation of the balloon causes increased blood flow to the lower left lobe. We have used the system to control lobe blood flow in three dogs.

Atlas-driven lung lobe segmentation in volumetric x-ray CT images

2003 ◽  
Author(s):  
Li Zhang ◽  
Eric A. Hoffman ◽  
Joseph M. Reinhardt
Keyword(s):  
Ct Images ◽  
X Ray ◽  
Lung Lobe ◽  
Lobe Segmentation

scholarly journals A left lung with four lobes: a new discovery during the thoracotomy for recurrent primary spontaneous pneumothorax

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Saadat Mehrabi ◽  
Nader Tanideh ◽  
Reza Hosseinpour ◽  
Cambyz Irajie ◽  
Mohammad Javad Yavari Barhaghtalabi
Keyword(s):  
Side Effects ◽  
Spontaneous Pneumothorax ◽  
Left Lung ◽  
Primary Spontaneous Pneumothorax ◽  
Case Presentation ◽  
Lung Anatomy ◽  
The Right ◽  
Oblique Fissure ◽  
New Discovery

Abstract Background The right and left lung anatomy are similar but asymmetrical. The right lung consists of three lobes, and the left lung consists of two lobes. Our study is unique because of discovering a very rare morphological feature of the left lung which has not been reported yet. By the way, we compared two different available chemical agents for pleurodesis (talc and bleomycin) according to side effects, complications, and pneumothorax recurrence. Case presentation We reported a case of bilateral primary spontaneous pneumothorax, who underwent talc slurry and bleomycin pleurodesis at right and left side retrospectively, and then complicate with left-sided recurrent spontaneous pneumothorax, so underwent open thoracotomy and was surprisingly and accidentally found to have 4 lobes and 3 fissures in left lung. Conclusion In our case report, there were one main oblique fissure and two accessory fissures which divided the lung into 4 separated lobes, and this discovery in human’s and other animals’ lung anatomy has not been previously reported. In our case study, the talc slurry was more effective in preventing spontaneous pneumothorax recurrence, but with more side effects than bleomycin. We could hypothesize that the morphological variation of the lung might affect spontaneous pneumothorax development and recurrence.

scholarly journals Study on Anatomical Variations in Fissures of Lung by CT Scan

2022 ◽  
Author(s):  
M. Manjunath ◽  
M. Vishnu Sharma ◽  
Kollanur Janso ◽  
Praveen Kumar John ◽  
N. Anupama ◽  
...  
Keyword(s):  
Ct Scan ◽  
Imaging Techniques ◽  
Lung Resection ◽  
Left Lung ◽  
Anatomical Variations ◽  
Cross Sectional Study ◽  
Ct Images ◽  
Cross Sectional ◽  
The Right ◽  
Accessory Fissure

Abstract Introduction Refinements in the modern computed tomography (CT) imaging techniques have led to anatomical variations in the fissures of lung being diagnosed more frequently. So far, majority of the studies conducted are cadaveric. There is paucity of studies in this aspect based on chest CT images. Hence, we undertook this study to find the anatomical variations in the fissures. Prior detection of anatomical abnormalities is important to reduce postoperative complications in lung resection surgeries. Materials and Methods This was a cross-sectional study conducted over a period of 2 years. Data were collected from the patients who underwent CT scan thorax. Patients in whom normal anatomy of lung was distorted and cases where both lungs were not visualized completely were excluded from the study. All the CT images were reviewed by a single radiologist. The presence or absence of the normal and accessory pulmonary fissures, as well as the continuity of each fissure, was recorded by the radiologist. Data were compiled and analyzed. Results The study population consisted of 394 (70.4%) males and 166 (29.6%) females, totaling 560 cases. Fissural variations were detected in 22.9% (n = 128). Also, 17.5% (n = 98) fissural variations were seen in males and 5.4% (n = 30) fissural variations were seen in females. Further, 54.7% (n = 70) of variations were detected in the right lung and 45.3% (n = 58) in the left lung. The most common fissural variation noted was right incomplete oblique fissure with a frequency of 8.4% cases (n = 47). The most common accessory fissure detected was inferior accessory fissure. Total 22 cases were detected in both the lungs, 17 cases in male and 5 in female. Conclusion Anatomical variations in fissures were found to be more in the right lung than the left lung. Accessory fissures were detected in higher incidence on the right side.

scholarly journals Anatomy-Guided Lung Lobe Segmentation in X-Ray CT Images

2009 ◽  
Vol 28 (2) ◽  
pp. 202-214 ◽  
Author(s):  
S. Ukil ◽  
J.M. Reinhardt
Keyword(s):  
Ct Images ◽  
X Ray ◽  
Lung Lobe ◽  
Lobe Segmentation

scholarly journals Optimization Based Liver Contour Extraction of Abdominal CT Images

2018 ◽  
Vol 8 (6) ◽  
pp. 5061 ◽  
Author(s):  
Jayanthi Muthuswamy ◽  
B Kanmani
Keyword(s):  
Optimization Technique ◽  
Hybrid Approach ◽  
Region Of Interest ◽  
Ground Truth ◽  
Bilateral Filter ◽  
Ct Images ◽  
Performance Criteria ◽  
Optimal Threshold ◽  
Misclassification Rate ◽  
Abdominal Ct

This paper introduces computer aided analysis system for diagnosis of liver abnormality in abdominal CT images. Segmenting the liver and visualizing the region of interest is a most challenging task in the field of cancer imaging, due to small observable changes between healthy and unhealthy liver. In this paper, hybrid approach for automatic extraction of liver contour is proposed. To obtain optimal threshold, the proposed work integrates segmentation method with optimization technique in order to provide better accuracy. This method uses bilateral filter for preprocessing and Fuzzy C means clustering (FCM) for segmentation. Mean Grey Wolf Optimization technique (mGWO) has been used to get the optimal threshold. This threshold is used for segmenting the region of interest. From the segmented output, largest connected region are identified using Label Connected Component (LCC) algorithm. The effectiveness of proposed method is quantitatively evaluated by comparing with ground truth obtained from radiologists. The performance criteria like dice coefficient, true positive error and misclassification rate are taken for evaluation.

scholarly journals Computed Tomography Imaging Findings of Pulmonary Chondroma

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Hexiang Wang ◽  
Pei Nie ◽  
Cheng Dong ◽  
Feng Hou ◽  
Peng Zhang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Left Lung ◽  
Diagnostic Technique ◽  
Lesion Size ◽  
Ct Images ◽  
Ct Imaging ◽  
Imaging Findings ◽  
Contrast Enhanced Ct ◽  
Pulmonary Chondroma ◽  
The Right

Purpose. To characterize the computed tomography (CT) imaging findings in patients with pulmonary chondroma. Methods. We examined CT imaging findings of eight patients with histopathologically verified pulmonary chondroma. We assessed the location, size, shape, margins, amount of calcification, calcification pattern, and attenuation on precontrast and enhancement CT. Results. All patients exhibited solitary, mildly lobulated pulmonary masses, which were located in the right lung in four cases and the left lung in four cases. The mean lesion size was 3.7 cm (range 0.9–10.7 cm). All eight tumours had a well-defined margin. On plain CT images, seven of the cases (87.5%) showed a mass with varying degrees of calcification, which included strip-like punctate (n=5) and ring (n=2) patterns. One patient with a large lesion (10.7 cm) showed chest wall adhesion. On contrast-enhanced CT images, all lesions demonstrated slight inhomogeneous enhancement ≤14 HU. Conclusion. CT is the reference standard diagnostic technique for locating pulmonary chondroma. In most cases, CT findings show some characteristics that are important in the diagnosis, surgical planning, and follow-up of the tumour.

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