The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 29, 2019

Filed:

Aug. 09, 2017
Applicant:

Vital Images, Inc., Minnetonka, MN (US);

Inventor:

William D. Hachfeld, Apple Valley, MN (US);

Assignee:

Vital Images, Inc., Minnetonka, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); H04N 19/93 (2014.01); H04N 19/172 (2014.01); H04N 19/91 (2014.01); H04N 19/176 (2014.01); H04N 19/593 (2014.01); H04N 19/184 (2014.01); H04N 19/80 (2014.01); H04N 19/90 (2014.01); H04N 19/59 (2014.01); G16H 30/00 (2018.01);
U.S. Cl.
CPC ...
H04N 19/93 (2014.11); G16H 30/00 (2018.01); H04N 19/172 (2014.11); H04N 19/176 (2014.11); H04N 19/184 (2014.11); H04N 19/59 (2014.11); H04N 19/593 (2014.11); H04N 19/80 (2014.11); H04N 19/90 (2014.11); H04N 19/91 (2014.11);
Abstract

Techniques and configurations for compression of image data in a progressive, lossless manner are disclosed. In an example, three-dimensional medical images may be compressed and decompressed with high-speed operations, through a compression technique performed on a cube (chunk) of voxels that includes generating a subsampled or filtered cube of voxels, and generating and optimizing a delta data set between the cube of voxels and the subsampled cube of voxels. This optimized delta data set is operable with a decompression technique to losslessly recreate the cube of voxels. Further, the compression technique may be progressively performed with multiple iterations, to allow multiple lower resolution versions of the images prior to loading or receiving the entire compressed data that is reconstructable in a lossless form. Use of this technique may result in dramatically reduced time to first image when visualizing 3D images and performing image data transfers.


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