Gaofei Jin

Gaofei Jin
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Gaofei verified their affiliation via an institutional email.
Verified
Gaofei verified their affiliation via an institutional email.
  • Master of Science
  • PhD student at University of Rochester

About

11
Publications
365
Reads
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32
Citations
Current institution
University of Rochester
Current position
  • PhD student

Publications

Publications (11)
Article
In microbubble (MB) cavitation-mediated blood-brain barrier (BBB) opening, prior knowledge of the skull’s sound speed properties is required to correct phase aberration and achieve accurate localization of the cavitation source using transcranial passive acoustic mapping (TPAM). Current approaches predominantly rely on CT scans to generate an empir...
Conference Paper
In conventional ultrasound (US) vector flow imaging (VFI) with linear array transducers, the limited aperture size restricts the detection of lateral Doppler frequency shifts, thereby limiting the capability of detecting flow omnidirectionally and the accuracy of vector flow reconstruction. In this study, we propose employing a ring-array US transd...
Article
Full-text available
For ring-array ultrasound tomography, two-dimensional frequency-domain full waveform inversion is the clinical gold standard for high-resolution imaging of the breast. While yielding high-resolution images in the plane of the ring-array, the resulting slice-wise approach yields lower resolution out of plane when used to reconstruct the full volume....
Article
Full-text available
Objective: Hemorrhagic stroke is a leading threat to human's health. The fast-developing microwave-induced thermoacoustic tomography (MITAT) technique holds potential to do brain imaging. However, transcranial brain imaging based on MITAT is still challenging due to the involved huge heterogeneity in speed of sound and acoustic attenuation of human...
Article
Image segmentation is important in improving the diagnostic capability of ultrasound computed tomography (USCT) and photoacoustic computed tomography (PACT), as it can be included in the image reconstruction process to improve image quality and quantification abilities. Segmenting the imaged object out of the background using image domain methods i...

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