Patents by Inventor Danny Z. Chen

Danny Z. Chen 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: 8014494
    Abstract: Provided herein are methods and systems for designing a radiation treatment for a subject using single arc dose painting. The methods and systems comprise an algorithm or a computer-readable product having the same, to plan the radiation treatment. The algorithm converts pairs of multiple leaf collimation (MLC) leaves to sets of leaf aperture sequences that form a shortest path single arc thereof where the pairs of MLC leaves each aligned to an intensity profile of densely-spaced radiation beams, and connects each single arc of leaf apertures to form a final treatment single arc. Also provided is a method for irradiating a tumor in a subject using single arc dose painting.
    Type: Grant
    Filed: October 20, 2009
    Date of Patent: September 6, 2011
    Assignee: University of Maryland, Baltimore
    Inventors: Cedric X. Yu, Shuang Luan, Danny Z. Chen, Matthew A. Earl, Chao Wang
  • Patent number: 7995810
    Abstract: A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations.
    Type: Grant
    Filed: June 23, 2006
    Date of Patent: August 9, 2011
    Assignees: The University of Iowa Research Foundation, University of Notre Dame du Lac
    Inventors: Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka
  • Publication number: 20110091015
    Abstract: Provided herein are methods and systems for designing a radiation treatment for a subject using single arc dose painting. The methods and systems comprise an algorithm or a computer-readable product having the same, to plan the radiation treatment. The algorithm converts pairs of multiple leaf collimation (MLC) leaves to sets of leaf aperture sequences that form a shortest path single arc thereof where the pairs of MLC leaves each aligned to an intensity profile of densely-spaced radiation beams, and connects each single arc of leaf apertures to form a final treatment single arc. Also provided is a method for irradiating a tumor in a subject using single arc dose painting.
    Type: Application
    Filed: October 20, 2009
    Publication date: April 21, 2011
    Inventors: Cedric X. Yu, Shuang Luan, Danny Z. Chen, Matthew A. Earl, Chao Wang
  • Patent number: 7466797
    Abstract: The present invention provides a method comprising the following steps: (a) partitioning an intensity modulated beam into a set of sub-IMBs; and (b) partitioning the sub-IMBs into segments, wherein steps (a) and (b) introduce no machine delivery error. The present invention also provides a method comprising the following steps: (a) recursively partitioning an intensity modulated beam into plateaus; and (b) partitioning the plateaus into segments, wherein step (a) comprises determining a tradeoff between machine delivery error and the number of segments into which the plateaus will be partitioned in step (b).
    Type: Grant
    Filed: March 22, 2005
    Date of Patent: December 16, 2008
    Assignee: University of Notre Dame du Lac
    Inventors: Shuang Luan, Danny Z. Chen, Xiaobo S. Hu, Chao Wang, Xiaodong Wu, Cedric X. Yu
  • Publication number: 20080063141
    Abstract: The present invention provides a method comprising the following steps: (a) partitioning an intensity modulated beam into a set of sub-IMBs; and (b) partitioning the sub-IMBs into segments, wherein steps (a) and (b) introduce no machine delivery error. The present invention also provides a method comprising the following steps: (a) recursively partitioning an intensity modulated beam into plateaus; and (b) partitioning the plateaus into segments, wherein step (a) comprises determining a tradeoff between machine delivery error and the number of segments into which the plateaus will be partitioned in step (b).
    Type: Application
    Filed: March 22, 2005
    Publication date: March 13, 2008
    Inventors: Shuang Luan, Danny Z. Chen, Xiaobo S. Hu, Chao Wang, Xiaodong Wu, Cedric X. Yu
  • Patent number: 7283611
    Abstract: The present invention provides a method comprising recursively partitioning an intensity modulated beam into plateaus; and partitioning the plateaus into segments. The present invention also provides a method for controlling administration of radiation therapy to a patient based on static leaf prescriptions. In addition, the present invention provides a method for partitioning an IMB.
    Type: Grant
    Filed: March 22, 2005
    Date of Patent: October 16, 2007
    Assignee: The University of Notre Dame
    Inventors: Shuang Luan, Danny Z. Chen, Xiaobo S. Hu, Chao Wang, Xiaodong Wu, Cedric X. Yu
  • Patent number: RE46953
    Abstract: Provided herein are methods and systems for designing a radiation treatment for a subject using single arc dose painting. The methods and systems comprise an algorithm or a computer-readable product having the same, to plan the radiation treatment. The algorithm converts pairs of multiple leaf collimation (MLC) leaves to sets of leaf aperture sequences that form a shortest path single arc thereof where the pairs of MLC leaves each aligned to an intensity profile of densely-spaced radiation beams, and connects each single arc of leaf apertures to form a final treatment single arc. Also provided is a method for irradiating a tumor in a subject using single arc dose painting.
    Type: Grant
    Filed: September 6, 2013
    Date of Patent: July 17, 2018
    Assignees: UNIVERSITY OF MARYLAND, BALTIMORE, UNIVERSITY OF NOTRE DAME DU LAC, STC.UNM
    Inventors: Cedric X. Yu, Shuang Luan, Danny Z. Chen, Matthew A. Earl, Chao Wang