US 11,896,360 B2
Systems and methods for generating thin image slices from thick image slices
Zhongnan Fang, Santa Clara, CA (US); Akshay S. Chaudhari, Stanford, CA (US); Jin Hyung Lee, Palo Alto, CA (US); and Brian A. Hargreaves, Stanford, CA (US)
Assigned to LVIS Corporation, Palo Alto, CA (US)
Appl. No. 16/979,104
Filed by LVIS Corporation, Palo Alto, CA (US); and THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY, Stanford, CA (US)
PCT Filed Mar. 12, 2019, PCT No. PCT/US2019/021903
§ 371(c)(1), (2) Date Sep. 8, 2020,
PCT Pub. No. WO2019/178133, PCT Pub. Date Sep. 19, 2019.
Claims priority of provisional application 62/641,836, filed on Mar. 12, 2018.
Prior Publication US 2020/0397334 A1, Dec. 24, 2020
Int. Cl. A61B 5/055 (2006.01); G16H 50/70 (2018.01); A61B 5/00 (2006.01); G06T 15/00 (2011.01); G06N 3/045 (2023.01)
CPC A61B 5/055 (2013.01) [A61B 5/7267 (2013.01); G06N 3/045 (2023.01); G06T 15/00 (2013.01); G16H 50/70 (2018.01); G06T 2207/30004 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A method of generating thin slice images from thick slice images, the method comprising:
receiving a first image having a first resolution at a neural network;
performing a convolution on the first image with the neural network;
performing a non-linear activation function on the first image with the neural network;
repeating the convolution and non-linear activation function;
generating a residual based on the convolution; and
summing the residual and the first image with the neural network to generate a second image having a second resolution, wherein the second resolution is higher than the first resolution.