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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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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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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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 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 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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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...
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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...
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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...
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UW Madison inventors have developed methods to properly address the zero-count problem in ultra-low radiation dose photon counting CT imaging that includes acquiring or accessing CT data of a subject,...
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UW-Madison researchers have developed a novel data acquisition method, called “Mohi-Polo”. The method eliminates scatter radiation in photon counting CT imaging systems to minimize scatter artifa...
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UW researchers present a novel hybrid photon counting detector for imaging. The novel design addresses the fundamental limitations of current silicon PCD technology by replacing the metallic spacers ...
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A UW-Madison researcher has developed a method to generate diagnostic quality nephrographic phase images from a single (using dual-energy) or two conventional CT urography acquisitions.  The method i...
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The successful use of contrast agents in volumetric imaging, such as intravenous iodinated agent in computed tomography (CT), is guided by sophisticated protocols. Poor contrast enhancement is related...
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UW-Madison researchers have developed a method for 4D (3D + time) reconstruction of arterial blood flow and subsequent quantitative evaluation of local blood flow and velocities from a single contrast...
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UW inventors have devised a new method to provide quantitative lung perfusion imaging using spectral CT imaging.  Data acquired using DE-CT, or single kV, is post-processed using a trained algorithm ...
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Methods and systems are provided for generating quantitative computed tomography (CT) angiographic images using imaging systems that acquire a set of projection views forming CT angiographic image dat...
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Method for imaging regions of a sample using a light source and an optical detection means and at least one device for moving the sample in three dimensions, comprising the following method steps: a) ...
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A system and method are provided for generating time resolved series of angiographic volume data having flow information. The system and method are configured to receive angiographic volume data acqui...
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