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Connor Puett

Researcher at University of North Carolina at Chapel Hill

Publications -  27
Citations -  315

Connor Puett is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Tomosynthesis & Iterative reconstruction. The author has an hindex of 7, co-authored 24 publications receiving 266 citations. Previous affiliations of Connor Puett include North Carolina State University.

Papers
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Contrast-Enhanced Ultrasound Imaging and in Vivo Circulatory Kinetics with Low-Boiling-Point Nanoscale Phase-Change Perfluorocarbon Agents

TL;DR: Low-boiling-point nanoscale PCCAs evaluated in vivo can produce contrast enhancement similar to that of microbubbles and can be designed to circulate for as much as 3.3 times longer than microbubble.
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Phase-shift perfluorocarbon agents enhance high intensity focused ultrasound thermal delivery with reduced near-field heating.

TL;DR: This nano-sized (100-300 nm), dual perfluorocarbon droplet has the potential to reduce the time to ablate tumors by one-third during focused ultrasound surgery while also safely enhancing thermal deposition at the target site.
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An update on carbon nanotube-enabled X-ray sources for biomedical imaging.

TL;DR: Early experience is promising, showing an excellent conspicuity of soft-tissue features, while also highlighting technical and post-acquisition processing limitations that are guiding continued research and development.
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Pulse sequences for uniform perfluorocarbon droplet vaporization and ultrasound imaging.

TL;DR: The development and evaluation of protocols for PCCA-enhanced ultrasound imaging using a commercial array transducer are described and pulse sequences designed to manipulate the geometries of discrete microbubble clouds using electronic steering and cloud spacing were tailored to build a uniform vaporization field.
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Dual-frequency acoustic droplet vaporization detection for medical imaging

TL;DR: Results indicate that it is possible to generate high-sensitivity, high-contrast images of vaporization events and has the potential to be applied in combination with dropletmediated therapy to track treatment outcomes or as a standalone diagnostic system to monitor the physical properties of the surrounding environment.