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Proceedings Paper

Detection and display of acoustic window for guiding and training cardiac ultrasound users
Author(s): Sheng-Wen Huang; Emil Radulescu; Shougang Wang; Karl Thiele; David Prater; Douglas Maxwell; Patrick Rafter; Clement Dupuy; Jeremy Drysdale; Ramon Erkamp
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Paper Abstract

Successful ultrasound data collection strongly relies on the skills of the operator. Among different scans, echocardiography is especially challenging as the heart is surrounded by ribs and lung tissue. Less experienced users might acquire compromised images because of suboptimal hand-eye coordination and less awareness of artifacts. Clearly, there is a need for a tool that can guide and train less experienced users to position the probe optimally. We propose to help users with hand-eye coordination by displaying lines overlaid on B-mode images. The lines indicate the edges of blockages (e.g., ribs) and are updated in real time according to movement of the probe relative to the blockages. They provide information about how probe positioning can be improved. To distinguish between blockage and acoustic window, we use coherence, an indicator of channel data similarity after applying focusing delays. Specialized beamforming was developed to estimate coherence. Image processing is applied to coherence maps to detect unblocked beams and the angle of the lines for display. We built a demonstrator based on a Philips iE33 scanner, from which beamsummed RF data and video output are transferred to a workstation for processing. The detected lines are overlaid on B-mode images and fed back to the scanner display to provide users real-time guidance. Using such information in addition to B-mode images, users will be able to quickly find a suitable acoustic window for optimal image quality, and improve their skill.

Paper Details

Date Published: 20 March 2014
PDF: 7 pages
Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 904014 (20 March 2014); doi: 10.1117/12.2044051
Show Author Affiliations
Sheng-Wen Huang, Philips Research North America (United States)
Emil Radulescu, Philips Research North America (United States)
Shougang Wang, Philips Research North America (United States)
Karl Thiele, Philips Healthcare (United States)
David Prater, Philips Healthcare (United States)
Douglas Maxwell, Philips Healthcare (United States)
Patrick Rafter, Philips Healthcare (United States)
Clement Dupuy, Philips Research North America (United States)
Jeremy Drysdale, Philips Research North America (United States)
Ramon Erkamp, Philips Research North America (United States)


Published in SPIE Proceedings Vol. 9040:
Medical Imaging 2014: Ultrasonic Imaging and Tomography
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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