Automated localization of costophrenic recesses and costophrenic angle measurement on frontal chest radiographs

2013 ◽  
Author(s):  
Pragnya Maduskar ◽  
Laurens Hogeweg ◽  
Rick Philipsen ◽  
Bram van Ginneken
Keyword(s):  
Angle Measurement ◽  
Chest Radiographs ◽  
Costophrenic Angle

Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs

2020 ◽  
Author(s):  
Tao Peng ◽  
Thomas Canhao Xu ◽  
Yihuai Wang ◽  
Fanzhang Li
Keyword(s):  
Nearest Neighbor ◽  
Polygonal Line ◽  
Deep Belief Network ◽  
Chest Radiographs ◽  
Dice Similarity Coefficient ◽  
K Nearest Neighbor ◽  
Lung Segmentation ◽  
Belief Network ◽  
Costophrenic Angle ◽  
Public Datasets

Abstract Due to the varying appearance in the upper clavicle bone region, sharp corner at the costophrenic angle, the presence of strong edges at the rib cage and clavicle and the lack of a consistent anatomical shape among different individuals, accurate segmentation of lung on chest radiographs remains challenging. In this work, we propose a novel segmentation method for lung segmentation, containing two subnetworks, where few manually delineated points are used as the approximate initialization. The first one is a preprocessing subnetwork based on a deep learning model (i.e. Deep Belief Network and K-Nearest Neighbor). The second one is a refinement subnetwork, designed to make the preprocessed result to be optimized by combining an improved principal curve method and a machine learning method. To prove the performance of the proposed method, several public datasets were evaluated with Dice Similarity Coefficient (DSC), overlap score (Ω), Sensitivity (Sen), Positive Predictive Value (PPV), global Error (E) and execution time (t). Compared with state-of-the-art methods, our method reaches superior segmentation performance.

Radiographic Findings of Primary Lung Cancer with Delayed Detection on Chest Radiographs

1999 ◽  
Vol 40 (5) ◽  
pp. 879
Author(s):  
Young Min Kim ◽  
Jin Hwan Kim ◽  
Chang Kyu Yang ◽  
Bin Young Jung ◽  
Kwang Jin Jun ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Primary Lung Cancer ◽  
Chest Radiographs ◽  
Radiographic Findings

One-shot Multi-angle Measurement Device for Evaluating the Sparkle Impression

2020 ◽  
Vol 2020 (5) ◽  
pp. 60401-1-60401-8
Author(s):  
Shuhei Watanabe
Keyword(s):  
Spatial Frequency ◽  
Product Design ◽  
Angle Measurement ◽  
Observation Angle ◽  
Light Sources ◽  
Quantification Method ◽  
Material Appearance ◽  
Subjective Score ◽  
Measurement Devices ◽  
Rotation Stage

The quantification of material appearance is important in product design. In particular, the sparkle impression of metallic paint used mainly for automobiles varies with the observation angle. Although several evaluation methods and multi-angle measurement devices have been proposed for the impression, it is necessary to add more light sources or cameras to the devices to increase the number of evaluation angles. The present study constructed a device that evaluates the multi-angle sparkle impression in one shot and developed a method for quantifying the impression. The device comprises a line spectral camera, light source, and motorized rotation stage. The quantification method is based on spatial frequency characteristics. It was confirmed that the evaluation value obtained from the image recorded by the constructed device correlates closely with a subjective score. Furthermore, the evaluation value is significantly correlated with that obtained using a commercially available evaluation device.

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