TREA

Tibial prosthesis

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Information

  • Patent Grant
  • D702349
  • Patent Number
    D702,349
  • Date Filed
    Tuesday, May 14, 2013
    11 years ago
  • Date Issued
    Tuesday, April 8, 2014
    10 years ago
  • US Classifications
    Field of Search
    • US
    • D24 155
    • D24 140
    • 623 020140
    • 623 020330
    • 623 020300
    • 623 020350
    • 623 901000
    • 264 264000
    • 606 096000
    • 606 088000
  • International Classifications
    • 2402
    • Term of Grant
      14Years
Information
Abstract
Description


FIG. 1 is a front perspective view of a tibial prosthesis showing our new design;



FIG. 2 is a rear perspective view thereof;



FIG. 3 is a front elevation view thereof;



FIG. 4 is a rear elevation view thereof;



FIG. 5 is a right-side elevation view thereof;



FIG. 6 is a left-side elevation view thereof;



FIG. 7 is a top plan view thereof;



FIG. 8 is a bottom plan view thereof; and,



FIG. 9 is a front perspective view thereof mounted on a tibia.


The broken line showing of the line circumscribing the prosthesis is unclaimed and the tibia in FIG. 9 is included for the purpose of illustrating environment and forms no part of the claimed design.


Claims
  • The ornamental design for a tibial prosthesis, as shown and described.
US Referenced Citations (54)
Number Name Date Kind
D242957 Treace Jan 1977 S
D243123 Shen et al. Jan 1977 S
D245259 Shen Aug 1977 S
D248771 Groth, Jr. et al. Aug 1978 S
D269547 Rosenthal Jun 1983 S
D274090 Kenna May 1984 S
D274094 Kenna May 1984 S
D346218 White Apr 1994 S
D358211 Cohen May 1995 S
D358647 Cohen May 1995 S
D365396 Hayes Dec 1995 S
D369863 Hayes May 1996 S
D373825 Hayes Sep 1996 S
5878170 Kim Mar 1999 A
6249594 Hibbard Jun 2001 B1
6345112 Summers et al. Feb 2002 B1
6912310 Park et al. Jun 2005 B1
7184814 Lang et al. Feb 2007 B2
7376254 Barth May 2008 B2
7773786 Fidrich et al. Aug 2010 B2
7799077 Lang et al. Sep 2010 B2
D626234 Otto et al. Oct 2010 S
7995810 Li et al. Aug 2011 B2
8007533 Zhukauskas et al. Aug 2011 B2
8036729 Lang et al. Oct 2011 B2
8073252 Florin et al. Dec 2011 B2
8077950 Tsougarakis et al. Dec 2011 B2
8090172 Shinagawa et al. Jan 2012 B2
8098909 Hibbard et al. Jan 2012 B2
8112142 Alexander et al. Feb 2012 B2
8160345 Pavlovskaia et al. Apr 2012 B2
20040153162 Sanford et al. Aug 2004 A1
20040167630 Rolston Aug 2004 A1
20040193280 Webster et al. Sep 2004 A1
20060184176 Straszheim-Morley et al. Aug 2006 A1
20080030497 Hu et al. Feb 2008 A1
20080139922 Pelletier et al. Jun 2008 A1
20080215059 Carignan et al. Sep 2008 A1
20090076371 Lang et al. Mar 2009 A1
20090136103 Sonka et al. May 2009 A1
20090190815 Dam et al. Jul 2009 A1
20090226060 Gering et al. Sep 2009 A1
20090306496 Koo et al. Dec 2009 A1
20090324078 Wu et al. Dec 2009 A1
20100232671 Dam et al. Sep 2010 A1
20110066245 Lang et al. Mar 2011 A1
20110144760 Wong et al. Jun 2011 A1
20110295378 Bojarski et al. Dec 2011 A1
20110304332 Mahfouz et al. Dec 2011 A1
20120004725 Shterling et al. Jan 2012 A1
20120197408 Lang et al. Aug 2012 A1
20120209394 Bojarski et al. Aug 2012 A1
20120316563 Metzger et al. Dec 2012 A1
20120323334 Jones et al. Dec 2012 A1
Foreign Referenced Citations (3)
Number Date Country
2009052562 Apr 2009 WO
2011150238 Dec 2011 WO
2012017375 Feb 2012 WO
Non-Patent Literature Citations (14)
Entry
Kapur et al., Model Based Segmentation of Clinical Knee MRI, 1998, 9 pages, Massachusetts Institute of Technology, Artificial Intelligence Laboratory, Cambridge, Massachusetts, USA.
Lynch et al., Cartilage Segmentation of 3D MRI Scans of the Osteoarthritic Knee Combining User Knowledge and Active Countours, Jun. 2000, 11 pages, Osteoporosis & Arthritis Research Group, Department of Radiology, UCSF, San Francisco, CA, USA.
Yezzi et al., A Variational Framework for Joint Segmentation and Registration, 2001, 8 pages, School of Electrical and and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, Artificial Intelligence Laboratory, Cambridge, MA, Visualization Technology Inc.; Lawrence, MA, USA.
Pakin et al., Segmentation, Surface Extraction and Thickness Computation of Articular Cartilage, 2002, 13 pages, University of Rochester, Electrical and Computer Engineering, Rochester NY, University of Rochester, Department of Radiology, Rochester NY, USA.
Ray et al., Merging Parametric Active Countours Within Homogeneous Image Regions for MRI-Based Lung Segmentation, Feb. 2003, 11 pages, IEEE Transactions on Medical Imaging, vol. 22, No. 2.
Tamez-Pena et al., Knee Cartilage Extraction and Bone-Cartilage Interface Analysis From 3D MRI Data Sets, 2004, 11 pages, Osteoporosis & Arthritis Research Group, Department of Radiology, UCSF, San Francisco, CA, USA.
Yushkevich et al., User-Guided 3D Active Contour Segmentation of Anatomical Structures: Significantly Improved Efficiency and Reliability, 2006, 13 pages, Penn Image Computing and Science Laboratory, Dept. of Radiology, University of Pennsylvania, PA, Depts. of Computer Science and Psychiatry, University of North Carolina, NC,Neurodevelopmental Disorders Research Center, University of North Carolina, NC, USA.
Folkesson et al. Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach, Jan. 2007, 10 pages, IEEE Transactions on Medical Imaging, vol. 26, No. 1.
El Naqa et al, Concurrent Multimodality Image Segmentation by Active Contours for Radiotherapy Treatment Planning, Dec. 2007, 12 pages, Department of Radiation Oncology, School of Medicine, Washington University, St. Louis, Missouri, USA.
Sun et al., Active Contour Based Subthalamic Nucleus Segmentation on MRI MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Opimization Techniques, 2009, 12 pages, Dept. of Biomedical Engineering, Nanchang Hangkong University, Nanchang, China.
Williams et al., Anatomically Corresponded Regional Analysis of Cartilage in Asymptomatic and Osteoarthritic Knees by Statistical Shape Modelling of the Bone, Aug. 2010, 19 pages, IEEE Transactions on Medical Imaging, vol. 29, No. 8.
Yin et al., Logismos-Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint, Dec. 2010, 15 pages, IEEE Transactions on Medical Imaging, vol. 29, No. 12.
Yin et al., Electric Field Theory Based Approach to Search-Direction Line Definition in Image Segmentation: Application to Optimal Femur-Tibia Cartilage Segmentation in Knee-Joint 3-D MR, 2010, 9 pages, Dept. of Electrical and Computer Engineering, The University of Iowa, Iowa City, Iowa, USA.
Tamez-Pena et al., Unsupervised Segmentation and Quantification of Anatomical Knee Features: Data From the Osteoarthritis Initiative, 19 pages, Apr. 2012, IEEE Transactions on Medical Imaging, vol. 29, No. 8.