by | Nov 27, 2019 | Mutic, Sasa, Park, Chunjoo, Zhang, Hao
— Technology Description
Inventors in Washington University’s Department of Radiation Oncology have developed a method and 3D-printed applicator for intensity modulated high-dose-rate brachytherapy that surpasses conventional brachytherapy efficiency. This device is tailored to the patient&rsq…
by | Nov 18, 2019 | Altman, Michael, Green, Olga, Kavanaugh, James, Li, Hua, Mutic, Sasa, Wooten, Hasani
— Technology Description
A team of researchers at Washington University has created a machine learning method to quickly and reliably validate patient contours in digital medical images for radiation therapy and computer aided image analysis.
Currently, automated contouring tools for delineating tu…
by | Mar 10, 2018 | Achilefu, Samuel, Liang, Kexian, Shen, Duanwen, Tang, Rui, Xu, Baogang
— Background:
Almost 1.7 million new cancer cases are diagnosed in the US each year. Pancreatic cancer is particularly lethal, with an estimated 38,000 deaths in 2013 alone and a 5-year survival rate of 5%. Despite advances in noninvasive imaging modalities, the current gold standard consisting of …
by | Mar 10, 2018 | Achilefu, Samuel, Berezin, Mikhail, Zhang, Zongren
— Background: Near Infrared (NIR) fluorescence can be highly useful in biological systems as it is highly sensitive and allows for detection and imaging of physiological and molecular processes in cells and living organisms. However, radiometric imaging is difficult in the NIR region of the light spec…
by | Mar 10, 2018 | Achilefu, Samuel, Akers, Walter, Bauer, Adam, Culver, Joseph, Liu, Yang
— Background: Current cancer management faces several challenges, including high occurrence of residual tumor after resection, adverse effects from sentinel lymph node (SLN) biopsy, and use of bulky systems in surgical suites for image guidance.
Technology Description: To overcome these limitations, …