BUFFALO, N.Y. — A breast scan for detecting cancer takes less than a minute using an experimental system that combines photoacoustic and ultrasound imaging, according to a study in IEEE Transactions on Medical Imaging.
Mostafa Nouh (Mechanical and Aerospace Engineering), Uttam Singisetti (Electrical Engineering), and Jun Xia (Biomedical Engineering) received the 2024 University at Buffalo Exceptional Scholar Award for Sustained Achievement.
A new NIH R01 grant is awarded to Dr. Xia and Dr. Wenyao Xu on smartphone-based foot ulcer imaging. This grant will allow the team to develop mobile-based imaging techniques for chronic ulcer management and treatment planning. This is the third NIH R01 grant received by the interdisciplinary team combining biomedical techniques with computational science and engineering.
This work implements a 3D fully-dense (3DFD) U-Net for linear-array-based photoacoustic tomography and utilizes volumetric simulation and mixed-precision training to increase efficiency and training size. Results indicate that the new algorithm could significantly impact preclinical and clinical photoacoustic tomography.
Dr. Xia received a three-year research contract with Qualcomm Inc. to develop medical imaging and sensing techniques. The grant will allow the team to develop new sensing techniques for wearable applications.
BUFFALO, N.Y. — The National Institutes of Health are helping to fund an evolution in medical imaging, and a University at Buffalo-led research team is leading the way. Jun Xia, PhD, associate professor in the Department of Biomedical Engineering, received a $1.6 million grant to improve medical imaging for people with chronic leg ulcers. The project is a collaboration with the surgery clinic of UBMD Physicians’ Group and other UB researchers.
Forget passwords — identity verification can now be accomplished with the touch of a finger or in the blink of an eye as the biometrics field expands to encompass new techniques and application areas.
Some of the most intractable gastrointestinal disorders, such as irritable bowel syndrome and inflammatory bowel disease, are motility disorders, where the contents of the intestines don’t proceed normally through the GI tract. Preclinical research has typically been limited to in vitro studies or anesthetized animal models, neither of which provide a realistic picture of gut motility.
Dr. Xia led a feature issue in Biomedical Optics Express covering all aspects of translational photoacoustic research, including screening and diagnosis, imaging of disease progression and therapeutic response, and image-guided treatment. The issue also covers advances in instrumentation, contrast agents, image processing, and reconstruction algorithms.
Biometric authentication using unique anatomical features is increasingly replacing passwords. A newly developed approach that uses 3D images of finger veins could greatly increase the security of this type of authentication.
UB received a four-year, $1.4 million NIH grant to develop a new, portable breast-imaging system with the potential to better identify breast cancer.
Jun Xia, an associate professor of biomedical engineering, received a 2020 Qualcomm Faculty Award to support research on photoacoustic imaging in wearable technologies.
The Dual Scan Mammoscope (DSM) combines light and ultrasound with mild compression. Initial lab tests imaged through 7 cm — a first for a photoacoustic system — suggesting potential for detecting sub-millimeter tumors with sufficient vascularization.
A new portable breast imaging system under development combines light and ultrasound. A study with collaborators at Roswell Park and Windsong Radiology suggests potential to detect breast cancer earlier.
Dr. Xia and his team participated in the 2019 Komen Western New York Race for the Cure under the banner of UB BME — honoring survivors, memorializing those lost, and raising funds for education, screening, treatment, and research.
Researchers found roasted barley, when struck by a common laser, can illuminate the GI tract, suggesting use as an edible contrast agent. The study was published in Biomaterials.
Dr. Xia and his team participated in the 2018 Komen Western New York Race for the Cure under the banner of UB BME.
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The group led by Jun Xia demonstrated a compact, high-power laser for photoacoustic computed tomography (PACT), applied to in vivo studies of mice and human tissues, published in Biomedical Optics Express.
Jun Xia, PhD, Assistant Professor of Biomedical Engineering, will use the grant to develop a new screening technology for women with dense breast tissue using photoacoustic tomography.
Invited by Verasonics, Dr. Xia wrote a case study on photoacoustic imaging with the Vantage system, including detailed experimental procedures.
Slit-based photoacoustic tomography improves elevation resolution of linear arrays via acoustic diffraction using a slit that forms virtual detectors with high receiving angle.
A compact, high-power laser for PACT was demonstrated, exploring LED, laser diode, and DPSSL sources as portable light options.
Chlorophyll-based nanoparticles suspended in liquid act as an effective imaging agent for the GI tract, as published in Advanced Materials.
A functional connectivity photoacoustic tomography system enables noninvasive imaging of resting-state functional connectivity in the mouse brain with large FOV and high spatial resolution.
Resting-state functional connectivity imaging identifies low-frequency, spontaneous cerebral hemodynamic fluctuations associated with functional connections in the cortex.
A method to thermally tag blood with ultrasound and track its motion via photoacoustics enables measurement of very slow flow rates.
Ultrasound thermal tagging plus photoacoustics is considerably more sensitive than conventional Doppler for imaging blood flow, with potential clinical applications.
Doppler ultrasound and photoacoustic imaging have complementary strengths; new methods aim to visualize slower blood flow and smaller vessels.
Optical imaging leveraging intrinsic contrast — such as hemoglobin — is increasingly enabling metabolic imaging in vivo.