title: An optimized strategy for real-time hemorrhage monitoring with electrical impedance tomography.
abstract: Delayed detection of an internal hemorrhage may result in serious disabilities and possibly death for a patient. Currently, there are no portable medical imaging instruments that are suitable for long-term monitoring of patients at risk of internal hemorrhage. Electrical impedance tomography (EIT) has the potential to monitor patients continuously as a novel functional image modality and instantly detect the occurrence of an internal hemorrhage. However, the low spatial resolution and high sensitivity to noise of this technique have limited its application in clinics. In addition, due to the circular boundary display mode used in current EIT images, it is difficult for clinicians to identify precisely which organ is bleeding using this technique. The aim of this study was to propose an optimized strategy for EIT reconstruction to promote the use of EIT for clinical studies, which mainly includes the use of anatomically accurate boundary shapes, rapid selection of optimal regularization parameters and image fusion of EIT and computed tomography images. The method was evaluated on retroperitoneal and intraperitoneal bleeding piglet data. Both traditional backprojection images and optimized images among different boundary shapes were reconstructed and compared. The experimental results demonstrated that EIT images with precise anatomical information can be reconstructed in which the image resolution and resistance to noise can be improved effectively.
authors.affiliation: Department of Biomedical Engineering, Fourth Military Medical University, Xi'an 710032, People's Republic of China.
authors.forename: Canhua
authors.initials: C
authors.lastname: Xu
authors.forename: Meng
authors.initials: M
authors.lastname: Dai
authors.forename: Fusheng
authors.initials: F
authors.lastname: You
authors.forename: Xuetao
authors.initials: X
authors.lastname: Shi
authors.forename: Feng
authors.initials: F
authors.lastname: Fu
authors.forename: Ruigang
authors.initials: R
authors.lastname: Liu
authors.forename: Xiuzhen
authors.initials: X
authors.lastname: Dong
mesh_terms: D000465:Algorithms; D000818:Animals; D017097:Electric Impedance; D006470:Hemorrhage / Q000175:diagnosis* / Q000000981:diagnostic imaging; D007091:Image Processing, Computer-Assisted; D016018:Least-Squares Analysis; D010532:Peritoneal Diseases / Q000175:diagnosis / Q000000981:diagnostic imaging; D013552:Swine; D013997:Time Factors; D014054:Tomography / Q000379:methods*; D014057:Tomography, X-Ray Computed