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Doppler Ultrasound Test Stand Background Information and Voice of the Customer Allan Andranikian.

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Presentation on theme: "Doppler Ultrasound Test Stand Background Information and Voice of the Customer Allan Andranikian."— Presentation transcript:

1 Doppler Ultrasound Test Stand Background Information and Voice of the Customer Allan Andranikian

2 Background Information  Doppler Ultrasound Visualization is currently the only non intrusive method in existence that can acquire velocity profiles for internal flows without the use of a clear optical section.  Used exclusively for medicinal purposes by echocardiologists to make estimates for systolic pressure.  Due to the delicate nature of the calibration required by these devices and the current particle tracking algorithm employed, velocity readings are often inaccurate

3 Goals  The primary goal of this project is to design, assemble, and acquire quantitative data via a test rig that can accommodate both a Doppler Ultrasound dive, and a Particle Image Velocimetry system.  The data will serve two uses: provide a benchmark for possible improvement in the Doppler Ultrasound tracking algorithm or touch-probe, and be utilized in Allan’s thesis defense.

4 Key Stakeholders  Primary Stakeholders:  Allan Andranikian (BSMS Student)  Dr. Steven W. Day (Professor, KGCOE)  Secondary Stakeholders:  Dr. Ronald Schwartz (Cardiologist at Strong Memorial)  Dr. Satish Kandlikar (Thesis Committee, tentative)

5 Customer Requirements  Test stand must be able to perform both PIV and Doppler Ultrasound Acquisition (not simultaneously).  Test stand must incorporate a user interface which can read outputs from both imaging systems, and analyze and display them in a similar fashion.  The design team must design, and incorporate several different “visualization sections” which will be the focus of both systems.  The visualizations sections should be easily interchangeable, and should have different effects on fluid flow.  All experimental data should be compared to analytical data acquired computationally.

6 Questions?


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