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Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries
Automated hemorrhage detection and segmentation in traumatic pelvic injuries is vital for fast and accurate treatment decision making. Hemorrhage is the main cause of deaths in patients within first 24 hours after the injury. It is very time consuming for physicians to analyze all Computed Tomograph...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418697/ https://www.ncbi.nlm.nih.gov/pubmed/22919433 http://dx.doi.org/10.1155/2012/898430 |
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author | Davuluri, Pavani Wu, Jie Tang, Yang Cockrell, Charles H. Ward, Kevin R. Najarian, Kayvan Hargraves, Rosalyn H. |
author_facet | Davuluri, Pavani Wu, Jie Tang, Yang Cockrell, Charles H. Ward, Kevin R. Najarian, Kayvan Hargraves, Rosalyn H. |
author_sort | Davuluri, Pavani |
collection | PubMed |
description | Automated hemorrhage detection and segmentation in traumatic pelvic injuries is vital for fast and accurate treatment decision making. Hemorrhage is the main cause of deaths in patients within first 24 hours after the injury. It is very time consuming for physicians to analyze all Computed Tomography (CT) images manually. As time is crucial in emergence medicine, analyzing medical images manually delays the decision-making process. Automated hemorrhage detection and segmentation can significantly help physicians to analyze these images and make fast and accurate decisions. Hemorrhage segmentation is a crucial step in the accurate diagnosis and treatment decision-making process. This paper presents a novel rule-based hemorrhage segmentation technique that utilizes pelvic anatomical information to segment hemorrhage accurately. An evaluation measure is used to quantify the accuracy of hemorrhage segmentation. The results show that the proposed method is able to segment hemorrhage very well, and the results are promising. |
format | Online Article Text |
id | pubmed-3418697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-34186972012-08-23 Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries Davuluri, Pavani Wu, Jie Tang, Yang Cockrell, Charles H. Ward, Kevin R. Najarian, Kayvan Hargraves, Rosalyn H. Comput Math Methods Med Research Article Automated hemorrhage detection and segmentation in traumatic pelvic injuries is vital for fast and accurate treatment decision making. Hemorrhage is the main cause of deaths in patients within first 24 hours after the injury. It is very time consuming for physicians to analyze all Computed Tomography (CT) images manually. As time is crucial in emergence medicine, analyzing medical images manually delays the decision-making process. Automated hemorrhage detection and segmentation can significantly help physicians to analyze these images and make fast and accurate decisions. Hemorrhage segmentation is a crucial step in the accurate diagnosis and treatment decision-making process. This paper presents a novel rule-based hemorrhage segmentation technique that utilizes pelvic anatomical information to segment hemorrhage accurately. An evaluation measure is used to quantify the accuracy of hemorrhage segmentation. The results show that the proposed method is able to segment hemorrhage very well, and the results are promising. Hindawi Publishing Corporation 2012 2012-07-19 /pmc/articles/PMC3418697/ /pubmed/22919433 http://dx.doi.org/10.1155/2012/898430 Text en Copyright © 2012 Pavani Davuluri et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Davuluri, Pavani Wu, Jie Tang, Yang Cockrell, Charles H. Ward, Kevin R. Najarian, Kayvan Hargraves, Rosalyn H. Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries |
title | Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries |
title_full | Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries |
title_fullStr | Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries |
title_full_unstemmed | Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries |
title_short | Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries |
title_sort | hemorrhage detection and segmentation in traumatic pelvic injuries |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418697/ https://www.ncbi.nlm.nih.gov/pubmed/22919433 http://dx.doi.org/10.1155/2012/898430 |
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