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...
Learn More

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 ...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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 ...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

This case is joint and was filed by Columbia University. A UW researcher, in collaboration with researchers from Columbia University and Medical University of South Carolina, have created a system an...
Learn More

UW researchers have developed a technology for automatically determining whether a CT image was taken with or without contrast media. The technology uses a segmentation to isolate voxels of a vascula...
Learn More

Photon counting detector CT (PCD-CT) has been featured as one of the most important advances in low dose CT imaging due to its powerful noise rejection functionality in addition to other advantages su...
Learn More

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...
Learn More

UW-Madison researchers have developed a system and method for evaluating percutaneous needle pathways. Implemented in software, the system provides an automatic segmentation of local tissue structures...
Learn More

UW-Madison researchers have developed a method that uses text or dictation (natural language) to guide an image analysis algorithm. This allows for the automated, or "click-free," quantifica...
Learn More