News and Publications

Latest News

QT Ultrasound has received $16 million in funding from NIH-National Cancer Institute. This is focused on the development of a new ultrasound tomography system for breast cancer detection. The goal of this ‘translational’ funding is to translate the pre-clinical prototype into a clinically useful, patient-friendly device, by optimizing image quality and speed of reconstruction.

Health Imaging
May 25, 2017
Up-and-coming ultrasound technology shows prowess as mammography adjunct


Academic Radiology
May 23, 2017
Accuracy of Cyst vs. Solid Diagnosis in the Breast Using Quantitative Transmission (QT) Ultrasound
Elaine Iuanow, Kathleen Smith, Nancy A. Obuchowski, Jennifer Bullen, John C. Klock

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
May 23, 2017
3D Nonlinear Acoustic Inverse Scattering: Algorithm and Quantitative Results
James Wiskin, David Borup, Elaine Iuanow, John C. Klock, Mark Lenox

Scientific Reports
December 9th, 2016
Objective breast tissue image classification using Quantitative Transmission ultrasound tomography
Bilal Malik, John C. Klock, James Wiskin, and Mark Lenox

The International Journal of Biomedical Imaging
September 5th, 2016
Anatomy-Correlated Breast Imaging and Visual Grading Analysis Using Quantitative Transmission Ultrasound™
John C. Klock, Elain Iuanow, Bilal Malik, Nancy A. Obuchowski, James Wiskin, and Mark Lenox

The International Journal of Biomedical Imaging
October 8th, 2015
Imaging Performance of Quantitative Transmission Ultrasound
Mark Lenox, James Wiskin, Matthew A. Lewis, Stephen Darrouzet, David Borup, and Scott Hsieh


Quantitative 3D Whole Breast Imaging with Transmission and Reflection Ultrasound
Michael Andre, PhD, James Wiskin, PhD, Haydee Ojeda-Fournier, MD, Linda Olson, MD, et. al.
University of California, San Diego Techniscan Medical Systems, Inc.
Presentation: Amer. Assoc. of Physicists in Medicine Aug. 02, 2011, Vancouver, BC

Quantitative Transmission (QT) Ultrasound is a powerful and emerging imaging paradigm which has the potential to perform true three-dimensional image reconstruction of biological tissue.