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85results about How to "Few artifact" patented technology

Converting low-dose to higher dose 3D tomosynthesis images through machine-learning processes

A method and system for converting low-dose tomosynthesis projection images or reconstructed slices images with noise into higher quality, less noise, higher-dose-like tomosynthesis reconstructed slices, using of a trainable nonlinear regression (TNR) model with a patch-input-pixel-output scheme called a pixel-based TNR (PTNR). An image patch is extracted from an input raw projection views (images) of a breast acquired at a reduced x-ray radiation dose (lower-dose), and pixel values in the patch are entered into the PTNR as input. The output of the PTNR is a single pixel that corresponds to a center pixel of the input image patch. The PTNR is trained with matched pairs of raw projection views (images together with corresponding desired x-ray radiation dose raw projection views (images) (higher-dose). Through the training, the PTNR learns to convert low-dose raw projection images to high-dose-like raw projection images. Once trained, the trained PTNR does not require the higher-dose raw projection images anymore. When a new reduced x-ray radiation dose (low dose) raw projection images is entered, the trained PTNR outputs a pixel value similar to its desired pixel value, in other words, it outputs high-dose-like raw projection images where noise and artifacts due to low radiation dose are substantially reduced, i.e., a higher image quality. Then, from the “high-dose-like” projection views (images), “high-dose-like” 3D tomosynthesis slices are reconstructed by using a tomosynthesis reconstruction algorithm. With the “virtual high-dose” tomosynthesis reconstruction slices, the detectability of lesions and clinically important findings such as masses and microcalcifications can be improved.
Owner:ALARA SYST

Magnetic resonance imaging with motion correction suing pre-pulses and navigators

The present invention provides a method for magnetic resonance (MR) imaging of a region of interest (142) of a subject of interest (120) under application of a scanning sequence (200) comprising at least one pre-pulse (202, 204) and multiple readouts (206), whereby the multiple readouts (206) are performed after the at least one pre-pulse (202, 204) with different configurations causing different image contrasts, comprising the steps of performing a preparation phase comprising applying at least one scanning sequence (200) to provide a set of reference readouts (206) using the different configurations, and generating a set of navigator images (210) with one navigator image (210) of the region of interest (142) for each configuration of the reference readouts (206), performing an examination phase comprising applying at least one scanning sequence (200), whereby at least one image (212) of the region of interest (142) is generated for each scanning sequence (200), determining motion of the subject of interest (120) by comparing at least one image (212) of the scanning sequence of the examination phase to the navigator image (210) having the same configuration as the compared image (212), performing motion correction of the at least one image (212) based on the determined motion of the subject of interest (120) of the at least one image (212), and providing an MR scan (214) of the region of interest (142) of the subject of interest (120) based on the images (212) after performing motion correction. The invention also provides a MR imaging system (110) adapted to perform the above method and a software package for upgrading a MR imaging system (110), whereby the software package contains instructions for controlling the MR imaging system (110) according to the above method.
Owner:KONINKLJIJKE PHILIPS NV

Methods for improved single photon emission computed tomography using exact and stable region of interest reconstructions

The present invention provides systems, methods, and devices for improved computed tomography (CT) and, more specifically, to methods for improved single photon computed tomography (SPECT) using exact and stable region of interest (ROI) reconstructions. This technology can be extended across all tomographic modalities. Embodiments provide a method and a system for reconstructing an image from projection data provided by a single photon emission computed tomography scanner comprising: identifying a region of interest in an object; defining an attenuation coefficient and object boundary; computing the generalized Hilbert transform of the data through the defined region of interest and a known subregion; and reconstructing the image with improved temporal resolution at lower radiation doses, wherein the reconstructing comprises performing a reconstruction method that yields an exact and stable reconstruction. Embodiments also provide a method and a system for reconstructing an image from projection data provided by a single photon emission computed tomography scanner comprising: identifying a region of interest in an object; defining an attenuation coefficient and object boundary; and reconstructing the images by minimizing the high order total variation while minimizing the data discrepancy.
Owner:VIRGINIA TECH INTPROP INC
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