Routinely, data acquired with medical imaging systems are not consistent with a single true image of the subject. Data inconsistencies arise from various causes (beam-hardening effects, subject motion...
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Signal-to-noise ratio (SNR) is utilized in medical imaging as a quantitative measure of image quality. As SNR decreases, it becomes increasingly more difficult to differentiate between important anato...
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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 algori...
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Systems and methods for generating one or more denoised images from a series of noisy images acquired with a medical imaging system are described. In general, the systems and methods described here im...
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Described here is a system and method for image reconstruction that can automatically and iteratively produce multiple images from one set of acquired data, in which each of these multiple images corr...
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A system and method for reconstructing an image using a cone-beam computed tomography (CT) imaging system includes acquiring data from a subject with the CT imaging system using a limited scan range t...
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A data consistency condition is derived for an array of attenuation values acquired with a divergent beam. Using this data consistency condition, estimates of selected attenuation values can be calcul...
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An imaging system includes a computed tomography (CT) acquisition unit and at least one processor. The CT acquisition unit includes an X-ray source and a CT detector configured to collect CT imaging d...
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In modern computed tomography (CT) imaging, a number of non-ideal physical conditions may cause artifacts in the reconstructed images. Mitigation or elimination of image artifacts has been a time- and...
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Dual-energy computed tomography (CT) was first proposed in the 1970s but has wavered in practical usage ever since. In essence, the process employs two different X-ray spectra (i.e., a high energy lev...
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In recent years, statistical imaging reconstruction has been introduced in clinics by different computed tomography (CT) manufacturers as a means to reduce radiation dose levels. Essentially, the meth...
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Phase contrast imaging exploits differences in the refractive index of materials to differentiate and image them. Recently, X-ray phase contrast imaging has attracted a great deal of attention. In the...
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Computed tomography (CT) systems are medical imaging devices that use X-rays to image a patient internally. An X-ray source sends parallel beams through the patient. The X-ray absorption/scattering,...
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Breast cancer is the most common cancer among women today with all women having approximately an 11 to12 percent chance of developing this cancer and a 30 to 40 percent chance of death after developme...
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In computed tomography (CT) imaging, divergent beam data acquisition modes have the potential to speed up data acquisition and shorten scan time. However, image reconstruction from divergent-beam proj...
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The Feldkamp (FDK) algorithm is widely used for image reconstruction for cone-beam projections, which are utilized in three-dimensional computed tomography (CT). However, because current FDK-type algo...
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In clinical computed tomography (CT) practice, image artifacts arise when some data is missing or inconsistent, such as in the case of large patients that extend beyond the imaging field of view or pa...
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Although stroke afflicts more than 700,000 people in the United States annually, the only FDA-approved clinical treatment is intravenous administration of tissue plasminogen activator (tPA) within thr...
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The introduction of 2-D detector arrays significantly improved the diagnostic potential of computed tomography (CT). However, accurate and efficient image construction from the data provided by these ...
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Most commercially available computed tomography (CT) systems employ image reconstruction methods based on the concepts of Radon space and the Radon transform. When a CT X-ray source projects a single ...
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A system and method for material decomposition of a single energy spectrum x-ray dataset includes accessing the single energy spectrum x-ray dataset, receiving a userselection of a desired energy for ...
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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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A system and method for reconstructing an image of a subject acquired using a tomographic imaging system includes at least one computer processor configured to form an image reconstruction pipeline. T...
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Conventional CT scans utilize a fan-shaped X-ray beam source and a detector array to acquire data for 2-D medical imaging. The source and detector array are situated on opposite sides of the patient ...
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In a computed tomography (CT) system, an X-ray source projects a fan-shaped beam, which passes through the object being imaged and hits an array of radiation detectors. The source and detector array a...
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