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PULSE SIGNED

Perception Ultrasound by Learning Sonographic Experience

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 PULSE project word cloud

Explore the words cloud of the PULSE project. It provides you a very rough idea of what is the project "PULSE" about.

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Project "PULSE" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

Organization address
address: WELLINGTON SQUARE UNIVERSITY OFFICES
city: OXFORD
postcode: OX1 2JD
website: www.ox.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://www.eng.ox.ac.uk/pulse
 Total cost 2˙462˙015 €
 EC max contribution 2˙462˙015 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-AdG
 Funding Scheme ERC-ADG
 Starting year 2016
 Duration (year-month-day) from 2016-11-01   to  2022-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) coordinator 2˙462˙015.00

Map

 Project objective

PULSE will develop a new generation of ultrasound imaging capabilities to revolutionize the use of this low-cost and portable imaging technology across clinical medicine worldwide.

The greatest barrier to the universal implementation of ultrasound (US) in clinical medicine today is the need to train sonographers to the highest level to ensure diagnostic images are of consistently high quality and fit for purpose. Unfortunately, the non-expert finds US images very difficult to interpret by eye alone. Perception Ultrasound by Learning Sonographic Experience (PULSE) is an innovative inter-disciplinary project designed to eliminate the need for highly skilled operators of the technology. It is motivated by the observation that sonographers find it easier to interpret their own scans than review those taken by others. The innovation in PULSE is to apply the latest ideas from machine learning and computer vision to build, from real world training video data, computational models that describe how an expert sonographer performs a diagnostic study of a subject from multiple perceptual cues. Novel machine-learning based computational models will be derived based on probe and eye motion tracking, image processing, and knowledge of how to interpret real-world clinical images and videos acquired to a standardised protocol. By building models that more closely mimic how a human makes decisions from US images we believe we will build considerably more powerful assistive interpretation methods than have previously been possible from still US images and videos alone.

Software demonstrators will be developed and evaluated on real world obstetric US data in collaboration with clinical experts and novices to demonstrate the new approach and its potential to move routine US scanning services from hospitals into the community which would have clear economic, healthcare and social benefits across Europe and beyond.

 Publications

year authors and title journal last update
List of publications.
2019 H Sharma, R Droste, P Chatelain, L Drukker, A Papageorghiou, JA Noble
Spatio-Temporal Partitioning and Description of Full-Length Routine Fetal Anomaly Ultrasound Scans
published pages: , ISSN: , DOI:
2019 IEEE International Symposium on Biomedical Imaging (ISBI) Annual 2020-03-20
2018 Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies
published pages: 1-11, ISSN: 2168-2267, DOI: 10.1109/tcyb.2018.2866274
IEEE Transactions on Cybernetics monthly 2020-03-20

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