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Doppler Ultrasound Test Stand Background Information and Voice of the Customer

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

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Doppler Ultrasound Test Stand Background Information and Voice of the Customer

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  1. Doppler Ultrasound Test StandBackground 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. SatishKandlikar (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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