Machine learning paired with photoacoustic microscopy and ultrasound for improved rectal cancer imaging

— Technology Description:

Researchers led by Quing Zhu at Washington University have developed a method for imaging rectal tumors using photoacoustic microscopy and ultrasound with a machine learning component. This method is better able to differentiate residual cancer from healthy tissue following…

Sigma-1 targeted PET tracers

— Technology Description

Researchers at Washington University in St. Louis and their colleagues have developed positron emission tomography (PET) tracers with high affinity for sigma-1 receptors. Sigma receptors have two subtypes, sigma-1 and sigma-2. Sigma-1 has high expression in the limbic and mo…

Real-time 3D MRI

— Technology Description

Researchers at Washington University in St. Louis have developed a method for real-time, high-resolution 3D MRI that can be used in diagnostic MRI and MRI-guided radiotherapy (MRgRT). MRgRT combines medical imaging with radiation therapy to provide visualization of the tumor…

Machine learning methods for real-time MRI image processing: MRI-only radiation treatment planning and improving MR image resolution

— 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…

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