Literature DB >> 9597100

Computerized delineation and analysis of costophrenic angles in digital chest radiographs.

S G Armato1, M L Giger, H MacMahon.   

Abstract

RATIONALE AND
OBJECTIVES: The authors developed a computerized method for delineating the costophrenic angles in digital posteroanterior chest radiographs to derive quantitative information that allows for detection of abnormal blunting of the costophrenic angle.
MATERIALS AND METHODS: An automated lung-segmentation scheme was used, and small regions of interest were placed in the approximate position of the costophrenic angles in 600 clinical posteroanterior chest radiographs to define a subimage for further analysis. The diaphragmatic aspect of the costophrenic angle was delineated based on column-wise contrast information, and the costal aspect was delineated based on row-wise gray-level maxima. The angle formed by the convergence of these two aspects provided the basis for assessing abnormality. Curve fitting was then performed on these segments to form a continuous costophrenic angle delineation.
RESULTS: The computer-determined angles for 1,166 hemithoraces were compared with independent diagnostic assessments by a radiologist. An encouraging level of agreement was found between these two measurements, with the area under the receiver operating characteristic curve attaining a value of 0.83.
CONCLUSION: This delineation method enhances the automated lung-segmentation scheme. Quantitative information obtained from the costophrenic angles can be used for automatic evaluation of the presence of costophrenic angle blunting, which may indicate the presence of pleural effusion.

Entities:  

Mesh:

Year:  1998        PMID: 9597100     DOI: 10.1016/s1076-6332(98)80151-7

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  3 in total

1.  Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility.

Authors:  S G Armato; M L Giger; H MacMahon
Journal:  J Digit Imaging       Date:  1999-02       Impact factor: 4.056

2.  Detection and Semiquantitative Analysis of Cardiomegaly, Pneumothorax, and Pleural Effusion on Chest Radiographs.

Authors:  Leilei Zhou; Xindao Yin; Tao Zhang; Yuan Feng; Ying Zhao; Mingxu Jin; Mingyang Peng; Chunhua Xing; Fengfang Li; Ziteng Wang; Guoliang Wei; Xiao Jia; Yujun Liu; Xinying Wu; Lingquan Lu
Journal:  Radiol Artif Intell       Date:  2021-05-19

3.  Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs.

Authors:  Feng Li; Samuel G Armato; Roger Engelmann; Thomas Rhines; Jennie Crosby; Li Lan; Maryellen L Giger; Heber MacMahon
Journal:  J Digit Imaging       Date:  2021-07-29       Impact factor: 4.903

  3 in total

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