You will be missed Kaustav!

Kaustav defended his PhD this summer and just left the lab to start new and exciting adventures. His great personality will be missed and we are grateful for all the wonderful work he did in the lab.

We celebrated together and Kaustav treated us to a delicious Indian dinner. Thanks for everything Kaustav!

New publication in the Journal of the Acoustical Society of America

We just published a new article in which we show that the diffusivity of ultrasound in cortical bone is related to the porosity. This means that the Diffusion Constant could be measured in bone to evaluate osteoporosis.

This work is the result of a collaboration with Kay Raum’s group in Berlin.

Acoustic diffusion constant of cortical bone: Numerical simulation study of the effect of pore size and pore density on multiple scattering

This paper was featured on the cover of JASA.

New publication in Physics in Medicine and Biology

We published another paper in PMB in which we propose to use the Independent Scattering Approximation to describe the interaction between ultrasound and the microstructure of cortical bone. The formulation of this direct problem will allow the solution of inverse problems in the future, where the features of cortical porosity will be extracted using ultrasound measurements. This has potential applications to the diagnosis of osteoporosis and response to treatment monitoring.

Modeling ultrasound attenuation in porous structures with mono-disperse random pore distributions using the independent scattering approximation: a 2D simulation study

New publication in Physics in Medicine and Biology

In this paper, we present a new ultrasound-based technique for the assessment of cancer-related angiogenesis. Angiogenesis is the creation of a new vasculature, which is associated with tumor malignancy. The method takes advantage of the presence of multiple scattering by microbubbles injected in the vasculature. This method could help increase the specificity of ultrasound for cancer diagnosis.

This work is the result of a collaboration with Paul Dayton, from the Biomedical Engineering Dept. at UNC.

Ultrasound multiple scattering with microbubbles can differentiate between tumor and healthy tissue in vivo