DocumentCode :
186110
Title :
Locating metal shrapnel in human body using GMR sensors
Author :
Sakthivel, Mithun ; George, Boby ; Sivaprakasam, Mohanasankar ; Kumar, Varadarajan Jagadeesh
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India
fYear :
2014
fDate :
11-12 June 2014
Firstpage :
1
Lastpage :
5
Abstract :
Injury due to metal shrapnel is a major cause of death in victims of bomb blast, land mines and gun fire. To recover these shrapnel surgically, surgeons use imaging systems for locating them inside the victim´s body. Since these shrapnel are normally mobile, by the time the surgery starts, their positions would have changed making it very difficult for the surgeon to recover them. In certain cases, the shrapnel that are visible in the images can become untraceable during surgery. Giant Magneto Resistance (GMR) type sensor based tool to aid a surgeon to locate shrapnel was found to have poor depth response characteristics compared to inductive proximity sensor based tool. This paper presents the details of new schemes that were evaluated to improve the detection depths of the GMR sensor based shrapnel detectors. Results on prototype detectors built and tested establish the feasibility of the proffered schemes.
Keywords :
biomagnetism; giant magnetoresistance; injuries; magnetic sensors; medical image processing; object detection; surgery; GMR sensor based shrapnel detector; bomb blast; depth response characteristics; detection depths; giant magneto resistance type sensor; gun fire; human body; imaging systems; inductive proximity sensor based tool; injury; metal shrapnel; mines; prototype detectors; shrapnel localisation; surgery; Coils; Magnetic sensors; Probes; Steel; Surgery; Detection depth (DD); Giant Magneto-Resistive (GMR) sensor; Inductive Proximity sensor (IPS); Shrapnel detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location :
Lisboa
Print_ISBN :
978-1-4799-2920-7
Type :
conf
DOI :
10.1109/MeMeA.2014.6860032
Filename :
6860032
Link To Document :
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