Title :
An automated method for hemorrhage detection in traumatic pelvic injuries
Author :
Davuluri, Pavani ; Wu, Jie ; Ward, Kevin R. ; Cockrell, Charles H. ; Najarian, Kayvan ; Hobson, Rosalyn S.
Author_Institution :
Electr. & Comput. Eng. Dept., Virginia Commonwealth Univ., Richmond, VA, USA
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Hemorrhage is the main cause of deaths that occurs within first 24 hours after a traumatic pelvic injury. Therefore, it is very important to determine hemorrhage quickly. Hemorrhages are detected using a CT scan. However, it is very time consuming for physicians to look for hemorrhage in all CT slices. Therefore, an automated system is needed. This paper proposes an automated hemorrhage detection technique by incorporating anatomical information of pelvic region. The results showed method performs comparably to manual methods. A statistical test is conducted to see if the volume of hemorrhage detected using this technique is significantly different from the volume assessed manually.
Keywords :
computerised tomography; injuries; statistical analysis; CT scan; automated hemorrhage detection technique; pelvic region; statistical test; traumatic pelvic injuries; Arteries; Biomedical imaging; Bones; Computed tomography; Educational institutions; Hemorrhaging; Image segmentation; Algorithms; Fractures, Bone; Hemorrhage; Humans; Pattern Recognition, Automated; Pelvic Bones; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091265