Data, Algorithms, Software Summaries
Mutic, Sasa ; Park, Chunjoo ; Zhang, Hao
T-017203
— 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…
Multiparametric Cardiac Strain Analysis of Myocardial ViabilityCupps, Brian ; Kar, Julia ; Pasque, Michael
T-014564
— Background: Assessing left ventricle (LV) cardiac contractile function is a good indicator of overall heart health and is used to determine which patients are good candidates for revascularization surgery. With over 3 million new coronary artery disease patients annually and over 1 million annual re…
Computer vision training system for robust artificial intelligence image classificationTong, Liang ; Vorobeychik, Yevgeniy ; Wu, Tong
T-019303
— Technology Description Researchers in Prof. Yevgeniy Vorobeychik’s laboratory have developed a new adversarial model and training methods to defend deep neural networks against physical attacks that corrupt image classifications. This system outperforms previous state-of-the-art techniques a…
Myocardial perfusion SPECT optimizationJha, Abhinav Kumar ; Rahman, Md Ashequr ; Siegel, Barry ; Yu, Zitong
T-020357
— T-020357, T-020358, T-020744 Myocardial perfusion SPECT optimization Technology Description Researchers from the laboratory of Abhinav Jha at Washington University have devised methods to reliably improve and personalize myocardial perfusion SPECT imaging. The inventions include the following capa…
Multiparametric Cardiac Strain Analysis of Myocardial ViabilityCupps, Brian ; Kar, Julia ; Pasque, Michael
T-014564
— Background: Assessing left ventricle (LV) cardiac contractile function is a good indicator of overall heart health and is used to determine which patients are good candidates for revascularization surgery. With over 3 million new coronary artery disease patients annually and over 1 million annual re…
Myocardial perfusion SPECT optimizationJha, Abhinav Kumar ; Rahman, Md Ashequr ; Siegel, Barry ; Yu, Zitong
T-020357
— T-020357, T-020358, T-020744 Myocardial perfusion SPECT optimization Technology Description Researchers from the laboratory of Abhinav Jha at Washington University have devised methods to reliably improve and personalize myocardial perfusion SPECT imaging. The inventions include the following capa…
Software to predict low back pain from brain imagingHawasli, Ammar ; Jayasekera, Dinal ; Lamichhane, Bidhan ; Leuthardt, Eric ; Ray, Wilson
T-019322
— Technology Description: Researchers at Washington University, led by Eric Leuthardt, have developed software that can identify specific brain regions involved in chronic low back pain from neuroimaging data. This software, powered by machine learning, relies on differences in cortical thickness an…
Computer vision training system for robust artificial intelligence image classificationTong, Liang ; Vorobeychik, Yevgeniy ; Wu, Tong
T-019303
— Technology Description Researchers in Prof. Yevgeniy Vorobeychik’s laboratory have developed a new adversarial model and training methods to defend deep neural networks against physical attacks that corrupt image classifications. This system outperforms previous state-of-the-art techniques a…
Pressure recovery ratio (PRR) index for real-time assessment of heart failureChung, Charles ; Kovacs, Sandor ; Shmuylovich, Leonid ; Zhang, Weixiong
T-007562
— Technology Description Researchers in the Cardiovascular Biophysics Laboratory at Washington University developed a patented, real-time, automated index to reliably detect delayed relaxation during cardiac catheterization diagnostics. This technique, called pressure recovery ratio (PRR), serves as…
Machine learning methods for real-time MRI image processing: MRI-only radiation treatment planning and improving MR image resolutionGreen, Olga ; Mutic, Sasa ; Park, Chunjoo (Justin) ; Zhang, Hao
T-018522
— Technology Description A team of researchers at Washington University School of Medicine developed deep learning image processing techniques to improve MRI diagnostics and potentially enable faster, more precise MRI-guided radiation therapy without exposing patients to radiation from CT imaging. S…
Real-time air and water quality monitoring with AI-based data analysis and low cost sensorsBiswas, Pratim ; Li, Jiayu
T-018523
— Technology Description Prof. Pratim Biswas and colleagues have developed an artificial intelligence platform to provide accurate, low-cost analysis of air and water quality by integrating data gathered from particulate matter (PM) sensors and other sources. This technology could be used to make th…
Machine learning method for fast, reliable quality assurance of patient imaging in radiation therapy or computer-aided detectionAltman, Michael ; Green, Olga ; Kavanaugh, James ; Li, Hua ; Mutic, Sasa ; Wooten, Hasani
T-013577
— 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…
Blockchain-based algorithms for secure, collaborative risk assessment and decision makingJain, Raj ; Salman, Tara
T-018710
— Technology Description Researchers in Prof. Raj Jain’s laboratory have developed a new type of algorithm that extends the security of decentralized blockchains from consensus validation to efficient group decision making. This technology, called “probabilistic blockchains”, provi…
Self-powered, solid-state devices for remote sensing, timing and security of internet-of-things and other passive assetsChakrabartty, Shantanu ; Zhou, Liang
T-015908
— Technology Description Engineers in Prof. Shantanu Chakrabartty’s laboratory have developed a self-powered, CMOS-based, nano-scale “smart sensor” and timer system that uses quantum-tunneling for reliable, long-lasting memory or authentication. This technology is a floating gate …
EMMI- non-invasive imaging method for safe, accurate, robust monitoring of uterine contractionsCahill, Alison ; Cuculich, Phillip ; Schwartz, Alan ; Wang, Yong
T-015805
— Technology Description Researchers at Washington University in St. Louis have developed an electromyometrial imaging (EMMI) method to non-invasively monitor uterine contractions. During pregnancy, many women experience preterm contractions. Sometimes these contractions progress to pre-term labor a…
T-018741 & T-019450 – Computational Improvements of ImmunoassaysBrestoff Parker, Jonathan ; Gronowski, Ann ; Zaydman, Mark
T-018741
— T-018741 & T-019450 – Computational Improvements of Immunoassays Technology Description Researchers in Mark Zaydman’s laboratory at Washington University have optimized a new method to improve the analytical measurement range (AMR) in homogeneous turbidimetric immunoassays. The method ut…
Method to characterize gut microbiomeGordon, Jeffrey ; Raman, Arjun
T-018977
— Technology Description Researchers at Washington University in St. Louis have developed a method to stratify gut microbiota dysbiosis and monitor treatments to correct it. In order to efficiently treat microbiota imbalance, it would first be beneficial to understand the healthy organization and in…
EMMI- non-invasive imaging method for safe, accurate, robust monitoring of uterine contractionsCahill, Alison ; Cuculich, Phillip ; Schwartz, Alan ; Wang, Yong
T-015805
— Technology Description Researchers at Washington University in St. Louis have developed an electromyometrial imaging (EMMI) method to non-invasively monitor uterine contractions. During pregnancy, many women experience preterm contractions. Sometimes these contractions progress to pre-term labor a…
Accurate, efficient 2D strain mapping with robust detection of strain localizationBoyle, John ; Genin, Guy ; Pless, Robert ; Thomopoulos, Stavros
T-014090
— Summary DDE (Direct Deformation Estimation) and SIMPLE (Strain Interference with Measures of Probable Local Elevation) are two simple Digital Image Correlation algorithms that combine image analysis techniques with mechanical engineering principles to provide accurate, efficient, quantitative strai…
