Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs
ObjectivesThis paper proposes a measurement method to quantify the abnormal characteristics of the broken parts of ribs using local texture and shape features in chest radiographs.MethodsOur measurement method comprises two steps: a measurement area assignment and sampling step using a spline curve...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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The Korean Society of Medical Informatics
2013-09-01
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| Series: | Healthcare Informatics Research |
| Subjects: | |
| Online Access: | http://e-hir.org/upload/pdf/hir-19-196.pdf |
| _version_ | 1819003702423322624 |
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| author | Jaeil Kim Sungjun Kim Young Jae Kim Kwang Gi Kim Jinah Park |
| author_facet | Jaeil Kim Sungjun Kim Young Jae Kim Kwang Gi Kim Jinah Park |
| author_sort | Jaeil Kim |
| collection | DOAJ |
| description | ObjectivesThis paper proposes a measurement method to quantify the abnormal characteristics of the broken parts of ribs using local texture and shape features in chest radiographs.MethodsOur measurement method comprises two steps: a measurement area assignment and sampling step using a spline curve and sampling lines orthogonal to the spline curve, and a fracture-ness measurement step with three measures, asymmetry and gray-level co-occurrence matrix based measures (contrast and homogeneity). They were designed to quantify the regional shape and texture features of ribs along the centerline. The discriminating ability of our method was evaluated through region of interest (ROI) analysis and rib fracture classification test using support vector machine.ResultsThe statistically significant difference was found between the measured values from fracture and normal ROIs; asymmetry (p < 0.0001), contrast (p < 0.001), and homogeneity (p = 0.022). The rib fracture classifier, trained with the measured values in ROI analysis, detected every rib fracture from chest radiographs used for ROI analysis, but it also classified some unbroken parts of ribs as abnormal parts (8 to 17 line sets; length of each line set, 2.998 ± 2.652 mm; length of centerlines, 131.067 ± 29.460 mm).ConclusionsOur measurement method, which includes a flexible measurement technique for the curved shape of ribs and the proposed shape and texture measures, could discriminate the suspicious regions of ribs for possible rib fractures in chest radiographs. |
| first_indexed | 2024-12-20T23:25:12Z |
| format | Article |
| id | doaj.art-b811352e1f8946e591536db09c702181 |
| institution | Directory Open Access Journal |
| issn | 2093-3681 2093-369X |
| language | English |
| last_indexed | 2024-12-20T23:25:12Z |
| publishDate | 2013-09-01 |
| publisher | The Korean Society of Medical Informatics |
| record_format | Article |
| series | Healthcare Informatics Research |
| spelling | doaj.art-b811352e1f8946e591536db09c7021812022-12-21T19:23:25ZengThe Korean Society of Medical InformaticsHealthcare Informatics Research2093-36812093-369X2013-09-0119319620410.4258/hir.2013.19.3.196692Quantitative Measurement Method for Possible Rib Fractures in Chest RadiographsJaeil Kim0Sungjun Kim1Young Jae Kim2Kwang Gi Kim3Jinah Park4Department of Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea.Department of Radiology, Yonsei University College of Medicine, Seoul, Korea.Biomedical Engineering Branch, Division of Convergence Technology, National Cancer Center, Goyang, Korea.Biomedical Engineering Branch, Division of Convergence Technology, National Cancer Center, Goyang, Korea.Department of Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea.ObjectivesThis paper proposes a measurement method to quantify the abnormal characteristics of the broken parts of ribs using local texture and shape features in chest radiographs.MethodsOur measurement method comprises two steps: a measurement area assignment and sampling step using a spline curve and sampling lines orthogonal to the spline curve, and a fracture-ness measurement step with three measures, asymmetry and gray-level co-occurrence matrix based measures (contrast and homogeneity). They were designed to quantify the regional shape and texture features of ribs along the centerline. The discriminating ability of our method was evaluated through region of interest (ROI) analysis and rib fracture classification test using support vector machine.ResultsThe statistically significant difference was found between the measured values from fracture and normal ROIs; asymmetry (p < 0.0001), contrast (p < 0.001), and homogeneity (p = 0.022). The rib fracture classifier, trained with the measured values in ROI analysis, detected every rib fracture from chest radiographs used for ROI analysis, but it also classified some unbroken parts of ribs as abnormal parts (8 to 17 line sets; length of each line set, 2.998 ± 2.652 mm; length of centerlines, 131.067 ± 29.460 mm).ConclusionsOur measurement method, which includes a flexible measurement technique for the curved shape of ribs and the proposed shape and texture measures, could discriminate the suspicious regions of ribs for possible rib fractures in chest radiographs.http://e-hir.org/upload/pdf/hir-19-196.pdfrib fracturesradiographycomputer-aided radiographic image interpretationimage processingdecision support techniques |
| spellingShingle | Jaeil Kim Sungjun Kim Young Jae Kim Kwang Gi Kim Jinah Park Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs Healthcare Informatics Research rib fractures radiography computer-aided radiographic image interpretation image processing decision support techniques |
| title | Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs |
| title_full | Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs |
| title_fullStr | Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs |
| title_full_unstemmed | Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs |
| title_short | Quantitative Measurement Method for Possible Rib Fractures in Chest Radiographs |
| title_sort | quantitative measurement method for possible rib fractures in chest radiographs |
| topic | rib fractures radiography computer-aided radiographic image interpretation image processing decision support techniques |
| url | http://e-hir.org/upload/pdf/hir-19-196.pdf |
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