Abstract: This disclosure relates generally to method and system to generate pricing for charging electric vehicles. With Electric vehicles becoming more mainstream, public chargers may not be able to match demand supply without extensive deployments. The present disclosure dynamically generates pricing policies to maximize aggregator revenue based on a stochastic model constraints and user behavioral models. The system involves three primary stake holders comprising a demand side having EV users requesting efficient charging at lowest possible price, a supply side which includes a public or private EVSE operators, and an EV charging aggregator which acts as intermediator between the demand side and the supply side. The EV charging aggregator having an RL agent receives user requests to generate pricing based on a tentative demand pool, an actual demand pool, and a service pool. The reward to the RL agent is the total revenue obtained in that timestep of the control action.

Abstract: Provided are a tomography apparatus and a method for reconstructing a tomography image. The method includes obtaining a plurality of raw data corresponding to a plurality of views by performing a tomography scan on an object and deblurring each of the plurality of raw data based on a point spread function (PSF) that varies according to locations in a field of view (FOV) in a gantry. The method also includes reconstructing a final tomography image in which a motion of the object is corrected from the plurality of deblurred raw data based on a motion vector indicating the motion of the object.

Abstract: A tomography apparatus includes a data acquirer configured to obtain a first partial image and a second partial image of an object based on data that is obtained respectively at a first angular section corresponding to a first time and at a second angular section corresponding to a second time during a tomography scan of the object that is moving, a controller configured to determine first information indicating a motion amount of the object in a first area of an entire image based on the first partial image and the second partial image, and determine second information indicating a degree of blur of a point included in the object in the first area based on the first information, and an image processor configured to correct the first area based on the first information and the second information, and output a tomography image based on the corrected first area.

Abstract: Provided are a tomography apparatus and a method for reconstructing a tomography image. The method includes obtaining a plurality of raw data corresponding to a plurality of views by performing a tomography scan on an object and deblurring each of the plurality of raw data based on a point spread function (PSF) that varies according to locations in a field of view (FOV) in a gantry. The method also includes reconstructing a final tomography image in which a motion of the object is corrected from the plurality of deblurred raw data based on a motion vector indicating the motion of the object.

Abstract: Identification of an optimal monochromatic energy for displaying monochromatic images is disclosed. In certain embodiments, determination of an optimal monochromatic energy may be performed by generating histograms for various monochromatic images generated based on a set of acquired multi-energy projections and by evaluating the histogram dispersion for the respective histograms.

Abstract: A method includes receiving a Computed Tomography (CT) image comprising a head of a subject from a CT scanner and detecting a first and a second petrous bone of the head in the CT image. The method further includes determining a nasion of the head in the CT image based on the first and the second petrous bone. The method also includes generating a reference plane of the head based on the nasion and the first and the second petrous bone.

Abstract: A method includes receiving a monochromatic image comprising a head of a subject from a Computed Tomography (CT) scanner and detecting a petrous bone of the head in the monochromatic image. The method further includes determining a linear attenuation coefficient of at least one petrous voxel representing the petrous bone and calculating a mass attenuation coefficient of the petrous voxel based on the linear attenuation coefficient and a density of the petrous bone. The method also includes computing a monochromatic energy level of the monochromatic image based on the mass attenuation coefficient of the petrous voxel and recalibrating the monochromatic image corresponding to the computed monochromatic energy level to the desired monochromatic energy level.

Abstract: Embodiments are adapted for acquiring projection data from a computed tomography imaging system to form motion-corrected images of cyclically moving imaging subjects. Embodiments determine a start time and time duration of a data record with sufficient data for forming a motion-corrected image from the data record, without screening data records or images for motion artifacts. Some embodiments acquire data asynchronously with respect to the cyclical motion of the imaging subject, without using a signal such as an EKG to select a period of low subject motion for imaging. Other embodiments use a pulse signal synchronized to the imaging subject's motions to reduce an amount of data presented for image reconstruction, or to target a specific phase of the imaging subject's cyclical motion.

Abstract: A tomography apparatus includes a data acquirer configured to obtain a first partial image and a second partial image of an object based on data that is obtained respectively at a first angular section corresponding to a first time and at a second angular section corresponding to a second time during a tomography scan of the object that is moving, a controller configured to determine first information indicating a motion amount of the object in a first area of an entire image based on the first partial image and the second partial image, and determine second information indicating a degree of blur of a point included in the object in the first area based on the first information, and an image processor configured to correct the first area based on the first information and the second information, and output a tomography image based on the corrected first area.

Abstract: A method includes receiving a Computed Tomography (CT) image comprising a head of a subject from a CT scanner and detecting a first and a second petrous bone of the head in the CT image. The method further includes determining a nasion of the head in the CT image based on the first and the second petrous bone. The method also includes generating a reference plane of the head based on the nasion and the first and the second petrous bone.

Abstract: A method includes receiving a monochromatic image comprising a head of a subject from a Computed Tomography (CT) scanner and detecting a petrous bone of the head in the monochromatic image. The method further includes determining a linear attenuation coefficient of at least one petrous voxel representing the petrous bone and calculating a mass attenuation coefficient of the petrous voxel based on the linear attenuation coefficient and a density of the petrous bone. The method also includes computing a monochromatic energy level of the monochromatic image based on the mass attenuation coefficient of the petrous voxel and recalibrating the monochromatic image corresponding to the computed monochromatic energy level to the desired monochromatic energy level.

Abstract: The disclosed embodiments relate to determining an amount of a contrast agent in an image. For example, a computer-implemented method of image processing includes generating, from a first polychromatic contrast-enhanced X-ray image obtained at a first energy and a second polychromatic contrast-enhanced X-ray image obtained at a second energy, a simulated first monochromatic contrast-enhanced X-ray image and a simulated second monochromatic contrast-enhanced X-ray image. The simulated first monochromatic contrast-enhanced X-ray image includes first regions of enhanced contrast and the simulated second monochromatic contrast-enhanced includes second regions of enhanced contrast. The method also includes isolating the first and second regions of enhanced contrast from other regions of the image, and determining an amount of the contrast agent within the first and second regions of enhanced contrast based at least on a derived partial signal attributable to the contrast agent.

Abstract: Exemplary embodiments provide a system and method for uploading large files to a remote server faster. The system and method divide the file into smaller file chunks and utilize parallel thread execution to prepare and upload the file chunks to the remote server. The uploading may further utilize a plurality of HTTP connections. Once all chunks have been uploaded to the remote server, the chunks may be consolidated into the original file by using content tokens and chunk numbers associated with the uploaded chunks.

Abstract: Identification of an optimal monochromatic energy for displaying monochromatic images is disclosed. In certain embodiments, determination of an optimal monochromatic energy may be performed by generating histograms for various monochromatic images generated based on a set of acquired multi-energy projections and by evaluating the histogram dispersion for the respective histograms.

Abstract: Exemplary embodiments provide a system and method for uploading large files to a remote server faster. The system and method divide the file into smaller file chunks and utilize parallel thread execution to prepare and upload the file chunks to the remote server. The uploading may further utilize a plurality of HTTP connections. Once all chunks have been uploaded to the remote server, the chunks may be consolidated into the original file by using content tokens and chunk numbers associated with the uploaded chunks.

Abstract: The disclosed embodiments relate to characterizing or quantifying an element or composition of interest within an imaged volume. In accordance with one embodiment, high and low energy images are acquired of a volume of interest using a polychromatic emission source. The high and low energy images are processed to generate monochromatic images. Based on the observed attenuation within the monochromatic images, one or more elements or compositions of interest are characterized within the imaged volume.

Abstract: The disclosed embodiments relate to determining an amount of a contrast agent in an image. For example, a computer-implemented method of image processing includes generating, from a first polychromatic contrast-enhanced X-ray image obtained at a first energy and a second polychromatic contrast-enhanced X-ray image obtained at a second energy, a simulated first monochromatic contrast-enhanced X-ray image and a simulated second monochromatic contrast-enhanced X-ray image. The simulated first monochromatic contrast-enhanced X-ray image includes first regions of enhanced contrast and the simulated second monochromatic contrast-enhanced includes second regions of enhanced contrast. The method also includes isolating the first and second regions of enhanced contrast from other regions of the image, and determining an amount of the contrast agent within the first and second regions of enhanced contrast based at least on a derived partial signal attributable to the contrast agent.

Abstract: A method, system and apparatus for filtering multi-energy images using spectral filtering technique is described. In one embodiment, the method includes obtaining a first image of an anatomical object corresponding to a first radiation energy. In addition, the method includes obtaining at least one additional image, herein called a second image of the anatomical object corresponding to at least one second radiation energy. The at least one second radiation energy is distinct from the first radiation energy. The method also includes determining joint attenuation characteristics of each tissue at the first radiation energy and at the second radiation energy or their derivatives. The method also includes selectively filtering attenuation value in a multi-energy space due to at least one tissue to generate a filtered image from a reference image. The reference image is one of the first image or the second image or their derivatives.

Abstract: A method, system and apparatus for filtering multi-energy images using spectral filtering technique is described. In one embodiment, the method includes obtaining a first image of an anatomical object corresponding to a first radiation energy. In addition, the method includes obtaining at least one additional image, herein called a second image of the anatomical object corresponding to at least one second radiation energy. The at least one second radiation energy is distinct from the first radiation energy. The method also includes determining joint attenuation characteristics of each tissue at the first radiation energy and at the second radiation energy or their derivatives. The method also includes selectively filtering attenuation value in a multi-energy space due to at least one tissue to generate a filtered image from a reference image. The reference image is one of the first image or the second image or their derivatives.

Abstract: Methods and systems and computer program products for automatically segmenting the volume of interest from intensity images are provided. The method for segmenting a volume of interest in an intensity image receives the intensity image and the scanner acquisition parameters used to acquire the intensity image. The method then scales the contrast of the intensity image based, at least in part, on the scanner acquisition parameters. The method segments the intensity image based, at least in part, on image data of the intensity image and the scanner acquisition parameters, to obtain the volume of interest.