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Portable real-time computerised support for detection of heart disease and fluid overload

Niti Dhutia is an Engineering PhD Student at Imperial College.

Due to a growing demand for echocardiography, the waiting times on average are very long. Specialists performing echocardiography examinations require extensive training and experience to acquire adequate images. Less experienced operators have difficulty obtaining these ‘on-axis’ images, take long periods of time and require supervision from experienced specialists. This project envisions greatly reducing delays to cardiac imaging diagnosis.

The aim is to develop tools that will provide real-time feedback, guiding the operator on how to manoeuvre the ultrasound probe to obtain an adequate view, and automatically make velocity measurements from optimal sites in the image. This would provide the opportunity for less experienced operators to do their first few scans and obtain appropriate images, with minimal guidance required from senior experienced operators.

Apical 4 chamber images showing positions at the mitral valve inflow, septal annulus and lateral annulus selected by individual specialists (Δ, each colour represents a different specialist) and those selected by the automated system (o)

Mitral valve inflow 1 Mitral valve inflow 2














‘Such a system would be a useful tool for quality control purposes in a clinical or research environment and could also be implemented as part of an operator training scheme.’

Niti Dhutia

Niti Dhutia