HeartPad: Real-Time Visual Guidance for Cardiac Ultrasound
Steven Ford, Gabriel Kiss, Ivan Viola, Stefan Brukner and
Hans Torp
INPROCEEDINGS,
Proceedings of Workshop at SIGGRAPH ASIA 2012,
November, 2012
AbstractMedical ultrasound is a challenging modality when it comes to image
interpretation. The goal we address in this work is to assist
the ultrasound examiner and partially alleviate the burden of interpretation.
We propose to address this goal with visualization that
provides clear cues on the orientation and the correspondence between
anatomy and the data being imaged. Our system analyzes the
stream of 3D ultrasound data and in real-time identifies distinct features
that are basis for a dynamically deformed mesh model of the
heart. The heart mesh is composited with the original ultrasound
data to create the data-to-anatomy correspondence. The visualization
is broadcasted over the internet allowing, among other opportunities,
a direct visualization on the patient on a tablet computer.
The examiner interacts with the transducer and with the visualization
parameters on the tablet. Our system has been characterized by
domain specialist as useful in medical training and for navigating
occasional ultrasound users.
Published
Proceedings of Workshop at SIGGRAPH ASIA 2012
- Series: WASA 2012
- Date: November 2012
Media
BibTeX
@inproceedings{Ford12HeartPad,
author = {Steven Ford and Gabriel Kiss and Ivan Viola and Stefan Brukner and
Hans Torp},
title = {HeartPad: Real-Time Visual Guidance for Cardiac Ultrasound},
booktitle = {Proceedings of Workshop at SIGGRAPH ASIA 2012},
series = {WASA 2012},
year = {2012},
month = {November},
address = {Fusionopolis, Singapore},
abstract = {Medical ultrasound is a challenging modality when it comes to image
interpretation. The goal we address in this work is to assist
the ultrasound examiner and partially alleviate the burden of interpretation.
We propose to address this goal with visualization that
provides clear cues on the orientation and the correspondence between
anatomy and the data being imaged. Our system analyzes the
stream of 3D ultrasound data and in real-time identifies distinct features
that are basis for a dynamically deformed mesh model of the
heart. The heart mesh is composited with the original ultrasound
data to create the data-to-anatomy correspondence. The visualization
is broadcasted over the internet allowing, among other opportunities,
a direct visualization on the patient on a tablet computer.
The examiner interacts with the transducer and with the visualization
parameters on the tablet. Our system has been characterized by
domain specialist as useful in medical training and for navigating
occasional ultrasound users.},
}
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