Feasibility of Automated Boundary Detection in Speckle Images
Research type
Research Study
Full title
Feasibility of Automated Boundary Detection and Line Identification in Speckle Images
IRAS ID
241339
Contact name
Moin Saleem
Contact email
Duration of Study in the UK
1 years, 10 months, 1 days
Research summary
Fluid overload in children on dialysis is very difficult to assess accurately, and is clinically very important. Ultrasound detection of lung fluid is a very promising new method, and this is done by counting ‘B lines’ on lung ultrasound, which look like comet tails. Counting these by eye is operator dependent, and introduces unreliability.
We propose that evaluation of B lines on lung ultrasound can be automated using signal processing techniques and analysis based on novel software techniques
The objective of this study is to establish feasibility of the new technique in children on dialysis, and develop an automated protocol for ongoing use.
Methods:
10 haemodialysis patients aged 5 – 18 years will undergo a single 10 minute lung ultrasound examination at Clinical Research and Imaging Centre, Bristol, with Aplio 500 Ultrasound system.REC name
South West - Frenchay Research Ethics Committee
REC reference
18/SW/0187
Date of REC Opinion
31 Jan 2019
REC opinion
Further Information Favourable Opinion