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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A method and apparatus for tracking disease progression as revealed by multiple lesions perform a global optimization to identify corresponding lesions by overlap, for example, after outlines of the l...
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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) us...
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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 addr...
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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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UW-Madison researchers have designed a new photon-counting detector (PCD) interventional system. The PCD system has an x-ray sensing region that is composed of a strip-shaped PCD (Module A) and a rect...
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UW-Madison researchers have created a fully automated, medical image based tool to estimate survival and biological age. The innovation combines multiple body composition measurements from medical ima...
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Cell therapy is a novel and promising approach to treating diseases such as rheumatoid arthritis, atherosclerosis, acute ischemia, myocardial infarction, diabetes, graft versus host disease and cancer...
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A fundamental goal of neuroscience is to understand the structure and function of the brain and the neurobiological correlates that give rise to cognition and behavior. The development of magnetic res...
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Medical imaging to detect structural abnormalities of the placenta is crucial in at least two pathological cases. First, placenta accreta spectrum, where the placenta grows too deeply into the wall of...
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