US 11,741,569 B2
Compression of CT reconstruction images involving quantizing voxels to provide reduced volume image and compressing image
Fedor Chelnokov, Khimki (RU); and Grant Karapetyan, Moscow (RU)
Assigned to James R. Glidewell Dental Ceramics, Inc., Newport Beach, CA (US)
Filed by James R. Glidewell Dental Ceramics, Inc., Newport Beach, CA (US)
Filed on Nov. 30, 2020, as Appl. No. 17/107,126.
Prior Publication US 2022/0172321 A1, Jun. 2, 2022
Int. Cl. G06T 3/40 (2006.01); G06T 11/00 (2006.01); A61B 6/03 (2006.01)
CPC G06T 3/40 (2013.01) [G06T 11/008 (2013.01); A61B 6/032 (2013.01); G06T 2200/04 (2013.01); G06T 2210/41 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method of compressing CT reconstruction images, comprising:
receiving a volumetric density file comprising one or more voxels, each comprising a voxel density value;
replacing a first set of voxel density values below an air density value with the air density value;
replacing a second set of voxel density values above a material density value with the material density value;
determining a set of the one or more voxels as voxels of interest;
replacing a third set of non-interesting voxel density values below a material surface density with the air density value;
replacing a fourth set of non-interesting voxel density values above the material surface density with the material density value;
quantizing all voxels of the one or more voxels to provide a reduced volume image; and
compressing the reduced volume image to provide a compressed volume image.