NDLI: Image based Transesophageal Echocardiography probe tip localization

Content Provider	IEEE Xplore Digital Library
Author	Fatin Inani binti Nurullail Pahl, Christina Supriyanto, Eko
Copyright Year	2015
Description	Author affiliation: Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Indonesia, Indonesia (Supriyanto, Eko) \|\| Department of Clinical Sciences, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, Malaysia (Fatin Inani binti Nurullail) \|\| Biomechatronics Group, Ilmenau University of Technology, 98693, Germany (Pahl, Christina)
Abstract	Transesophageal Echocardiography (TEE) is used to visualize ultrasound heart images for diagnosis or surgery monitoring. The existing TEE is operator dependent and does not provide sufficient safety features to localize the TEE probe tip inside the human body. In order to improve safety in the usage of TEE, a novel technique for TEE probe tip localization has been developed. This technique is based on feature comparison between online TEE images retrieved from the TEE machine and an additional image database. The here presented technique includes image enhancement, segmentation, feature extraction and finally cross correlation. TEE images in a database were used as the reference for cross correlation. Test results show that the technique is able to localize the probe tip position from depth of 20 cm to 50 cm, with an accuracy of 93.2 %. This result is an approach towards the improvement of TEE safety without using additional sensors.
Starting Page	169
Ending Page	174
File Size	439934
Page Count	6
File Format	PDF
e-ISBN	9781467378000
DOI	10.1109/ICICI-BME.2015.7401357
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-02
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation SURF Correlation Ultrasonic imaging Transesophageal echocardiography Image processing Transducer tip localization Feature extraction Template matching Probes Standards
Content Type	Text
Resource Type	Article

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