Patents by Inventor Celine Saint Olive

Celine Saint Olive 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).

  • Image-wide artifacts reduction caused by high attenuating objects in ct deploying voxel tissue class
    Patent number: 7636461
    Abstract: A reconstruction processor (34) reconstructs acquired projection data (S) into an uncorrected reconstructed image (T). A classifying algorithm (66) classifies pixels of the uncorrected reconstructed image (T) at least into metal, bone, tissue, and air pixel classes. A clustering algorithm (60) iteratively assigns pixels to best fit classes. A pixel replacement algorithm (70) replaces metal class pixels of the uncorrected reconstructed image (T) with pixel values of the bone density class to generate a metal free image. A morphological algorithm (80) applies prior knowledge of the subject's anatomy to the metal free image to correct the shapes of the class regions to generate a model tomogram image. A forward projector (88) forward projects the model tomogram image to generate model projection data (Smodel). A corrupted rays identifying algorithm (100) identifies the rays in the original projection data (S) which lie through the regions containing metal objects.
    Type: Grant
    Filed: January 24, 2005
    Date of Patent: December 22, 2009
    Assignee: Koninklijke Philips Electronics N.V.
    Inventors: Lothar Spies, Celine Saint Olive, Michael Kaus, Vladimir Pekar, Himanshu P. Shukla
  • Image-Wide Artifacts Reduction Caused by High Attenuating Objects in Ct Deploying Voxel Tissue Class
    Publication number: 20080253635
    Abstract: A reconstruction processor (34) reconstructs acquired projection data (S) into an uncorrected reconstructed image (T). A classifying algorithm (66) classifies pixels of the uncorrected reconstructed image (T) at least into metal, bone, tissue, and air pixel classes. A clustering algorithm (60) iteratively assigns pixels to best fit classes. A pixel replacement algorithm (70) replaces metal class pixels of the uncorrected reconstructed image (T) with pixel values of the bone density class to generate a metal free image. A morphological algorithm (80) applies prior knowledge of the subject's anatomy to the metal free image to correct the shapes of the class regions to generate a model tomogram image. A forward projector (88) forward projects the model tomogram image to generate model projection data (Smodel). A corrupted rays identifying algorithm (100) identifies the rays in the original projection data (S) which lie through the regions containing metal objects.
    Type: Application
    Filed: January 24, 2005
    Publication date: October 16, 2008
    Inventors: Lothar Spies, Celine Saint Olive, Michael Kaus, Vladimir Pekar, Himanshu P. Shukla