UW-Madison researchers have developed a method for motion-robust MRI with multiple contrasts, using a short temporal footprint, simple post-processing and optimized SNR. The method uses multiple conse...
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A UW-Madison researcher has designed an optimized AOSLO system to enable optimized resolution and contrast when imaging different sized pupils. In addition, this design reduces the scale of the system...
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UW inventors and industry collaborators have developed a method to create a low noise video from a noisy signal by combining it with simultaneously captured video of the same scene from a low noise re...
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UW-Madison researchers have developed a system and methods that incorporate data from a plurality of modalities into a hierarchal structure of machine learning models to construct one or more prognost...
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UW-Madison researchers have developed a method for angiographic blood velocity quantification from time-signal curves with oscillating change in contrast. The method can be used to quantify blood velo...
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Metastasis is the leading cause of cancer-related mortality. In metastasis, cells of a primary cancer break away from where they were first formed and travel through the body to create new lesions. Ea...
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There is a critical need for significant improvements in image-based assessment of the prostate in men with lower urinary tract symptoms (LUTS). MRE has been used to image the prostate using a both ab...
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UW-Madison researchers have developed an automated process to accurately quantitate breast density using MR images.  The methods assess tissue properties within a region of interest (ROI) using chem...
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UW-Madison researchers are developing an ultrasound based method to provide urodynamic data in an accessible and less invasive way. The technology entails acquiring a pre-void (full bladder volume) us...
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UW-Madison researchers have developed a novel clinical MRI method for quantitative T2 mapping. The new T2 mapping method uses RF-phase modulated dual echo steady-state sequence (DESS). T2 information ...
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A UW researcher has developed a novel method for simultaneous T1 and T2 weighted imaging using RF phase modulated 3D gradient echo (GRE) imaging. The novel technique enables encoding the different wei...
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UW Madison researchers have developed a new, fully automated, deep learning based fat segmentation tool for CT images of the pelvis, abdomen and chest. The tool provides more accurate segmentation of ...
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UW Madison researchers have developed a new method to correct inaccurate CT numbers in low radiation dose photon counting CT imaging without knowing the raw photon counts.   The methods address situ...
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UW-Madison researchers developed a method to correct the CT number accuracy degradation problem in low dose CT imaging. By understanding the CT number bias resulting from clinical implementations, the...
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Acoustic imaging plays a crucial role in various fields, including underwater sonar, nondestructive testing, and biomedical imaging. Ultrasound imaging, in particular, is widely used in medical diagno...
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Proton density fat fraction (PDFF) and R2* estimated using quantitative chemical shift-encoded MRI (CSE-MRI) are well-established quantitative biomarkers of liver fat content. As such, CSE-MRI methods...
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UW-Madison and NIH and other collaborators developed an automated system for muscle segmentation that works on CT scans. The system uses 3D U-Net models to segment the muscle in the chest, abdomen, an...
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NMR signal contributions from water and fat are separated using a model of the fat resonant frequency spectrum that has multiple resonant peaks. The relative frequencies of the multiple fat spectrum p...
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UW-Madison researchers have developed a new opportunistic screening tool that automatically finds the trabecular bone structure of the L1 vertebral body and makes a measurement, correcting for potenti...
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UW researchers have developed a magnetic resonance imaging (MRI) urodynamics method, as well as a patient specific MRI-based computational fluid dynamics (CFD) simulation of bladder voiding. Before t...
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UW researchers are developing a surgical treatment planning software tool to analyze CT images, calculate the dimensions and surgical freedom of certain skull base surgical corridors, and generate obj...
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UW-Madison researchers have developed and validated a software tool capable of automatically segmenting muscle in the chest, abdomen, and pelvis has been shown to offer value by generating biomarkers ...
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UW-Madison researchers have developed a novel method to reduce artifacts in front of a biopsy needle during CT-guided interventional procedures. The method enables acquisition of interventional CT ima...
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UW-Madison researchers have developed an AI-assisted imaging technology that uses a deep neural network to reconstruct a 3-D model of the patient. This invention predicts patient positioning, beam int...
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Computed tomography (CT)-guided interventional procedures are becoming more and more common. However, CT guidance is commonly performed off-line, requiring clinicians to leave the room every time an i...
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