Patents by Inventor Jeroen Cant

Jeroen Cant has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10945682
    Abstract: A method and system to correct for alignment errors between assumed and actual geometric parameters of an acquisition geometry during image reconstruction in a chest tomosynthesis application includes receiving at least 2 raw projection images acquired on at least 2 different positions in a known acquisition geometry, determining an actual geometric parameter value by determining the minimum of a redundant planes cost function which is calculated for a varying range of the geometric parameter values, and which is determined by: a) at least one plane which intersects an X-ray source trajectory with at least two points, b) an intersection between the planes and a detector surface for which points the source positions are determined, and c) for which the parameters determining the intersection (?, ?, l) are used for the construction of the cost function, applying the calculated actual geometric parameter value of the acquisition geometry for the image reconstruction of the plurality of images, characterized in t
    Type: Grant
    Filed: June 8, 2017
    Date of Patent: March 16, 2021
    Assignee: AGFA HEALTHCARE NV
    Inventors: Jeroen Cant, Jan Sijbers
  • Publication number: 20200357148
    Abstract: Tomographic images, acquired by iterative reconstruction of lower quality images, are enhanced by a trained neural network. Next, the enhanced tomographic images are input to the next step of the iterative reconstruction. For this purpose, one or several neural networks are trained with a first set of tomographic images and a second set of tomographic images at lower quality. The second set of tomographic images at lower quality are acquired by applying an iterative reconstruction algorithm to lower quality projection images. The iterative reconstruction can use a normal quality tomographic image as input.
    Type: Application
    Filed: August 21, 2018
    Publication date: November 12, 2020
    Inventors: Joris SOONS, Adriyana DANUDIBROTO, Jeroen CANT
  • Patent number: 10755450
    Abstract: A visual indication is generated of depth locations of slices obtained by applying a reconstruction algorithm in a computed tomography method with given settings, the display being shown on the object, e.g. on the patient's lateral side or in close relation to the patient.
    Type: Grant
    Filed: June 29, 2016
    Date of Patent: August 25, 2020
    Assignee: AGFA NV
    Inventors: Walter Exelmans, Jeroen Cant
  • Publication number: 20190216408
    Abstract: A method and system to correct for alignment errors between assumed and actual geometric parameters of an acquisition geometry during image reconstruction in a chest tomosynthesis application includes receiving at least 2 raw projection images acquired on at least 2 different positions in a known acquisition geometry, determining an actual geometric parameter value by determining the minimum of a redundant planes cost function which is calculated for a varying range of the geometric parameter values, and which is determined by: a) at least one plane which intersects an X-ray source trajectory with at least two points, b) an intersection between the planes and a detector surface for which points the source positions are determined, and c) for which the parameters determining the intersection (?, ?, l) are used for the construction of the cost function, applying the calculated actual geometric parameter value of the acquisition geometry for the image reconstruction of the plurality of images, characterized in t
    Type: Application
    Filed: June 8, 2017
    Publication date: July 18, 2019
    Inventors: Jeroen CANT, Jan SIJBERS
  • Publication number: 20180197316
    Abstract: A visual indication is generated of depth locations of slices obtained by applying a reconstruction algorithm in a computed tomography method with given settings, the display being shown on the object, e.g. on the patient's lateral side or in close relation to the patient.
    Type: Application
    Filed: June 29, 2016
    Publication date: July 12, 2018
    Inventors: Walter EXELMANS, Jeroen CANT
  • Patent number: 9996951
    Abstract: A computerized tomographic image exposure and reconstruction method wherein an object is subjected to irradiation during a relative movement of a source of radiation, the object, and a radiation detector and wherein a digital representation of the radiation image of the object is computed by applying a tomographic reconstruction algorithm to image data read out of the irradiated radiation detector. A number of projection images are generated, each of the projection images being generated by integrating X-ray beams continuously emitted during the relative movement through a predefined movement path, and the created projection images are modeled in a tomographic reconstruction algorithm.
    Type: Grant
    Filed: May 6, 2015
    Date of Patent: June 12, 2018
    Assignees: Agfa HealthCare, Universiteit Antwerpen
    Inventors: Jan Sijbers, Jeroen Cant
  • Publication number: 20170221232
    Abstract: A computerized tomographic image exposure and reconstruction method wherein an object is subjected to irradiation during a relative movement of a source of radiation, saidthe object, and a radiation detector and wherein a digital representation of the radiation image of saidthe object is computed by applying a tomographic reconstruction algorithm to image data read out of the irradiated radiation detector. A number of projection images are generated, each of saidthe projection images being generated by integrating X-ray beams continuously emitted during saidthe relative movement through a predefined movement path, and the created projection images are modeled in a tomographic reconstruction algorithm.
    Type: Application
    Filed: May 6, 2015
    Publication date: August 3, 2017
    Applicants: Agfa HealthCare, Universiteit Antwerpen
    Inventors: Jan SIJBERS, Jeroen CANT
  • Patent number: 9406124
    Abstract: An image is segmented by subjecting the image to an iterative thresholding operation, and a hierarchical representation of clusters is obtained by analyzing the results of each of the iterative thresholding steps to find clusters of adjacent image elements. A type class is assigned to a leaf cluster of the hierarchical representation and the assigned class is propagated towards the top of the hierarchical representation. Then a mask is generated marking the locations of image elements contained in the top ancestral clusters of a specific type.
    Type: Grant
    Filed: September 18, 2013
    Date of Patent: August 2, 2016
    Assignee: AGFA HEALTHCARE NV
    Inventors: Gert Merckx, Jeroen Cant
  • Publication number: 20150228072
    Abstract: An image is segmented by subjecting the image to an iterative thresholding operation, and a hierarchical representation of clusters is obtained by analyzing the results of each of the iterative thresholding steps to find clusters of adjacent image elements. A type class is assigned to a leaf cluster of the hierarchical representation and the assigned class is propagated towards the top of the hierarchical representation. Then a mask is generated marking the locations of image elements contained in the top ancestral clusters of a specific type.
    Type: Application
    Filed: September 18, 2013
    Publication date: August 13, 2015
    Applicant: AGFA HEALTHCARE NV
    Inventors: Gert Merckx, Jeroen Cant
  • Publication number: 20070058847
    Abstract: A method for processing a medical image represented by a digital image signal and accompanying image identification data wherein upon processing of one of the image and the image identifying data, a corresponding change of the other is effectuated.
    Type: Application
    Filed: September 7, 2006
    Publication date: March 15, 2007
    Applicant: AGFA-GEVAERT N.V.
    Inventors: John Gibbs, Jeroen Cant, Ann Demeyere, Sasha Milicevic