Jian Zhong Zhou

US Patent:

20210156051, May 27, 2021

Filed:

Nov 19, 2020

Appl. No.:

16/952798

Inventors:

- Oakland CA, US
Jian ZHOU - Davis CA, US

International Classification:

D01F 8/02
C08L 1/02
C08J 9/28
D01F 8/16
D01D 10/00
D01D 5/06

Abstract:

The present disclosure provides a coaxial fiber comprising a cellulose fiber exterior, and a hollow interior, wherein the aerogel occupies the hollow interior of the cellulose fiber. The present disclosure also provides a method of making the coaxial fiber, and a method of maintain a temperature differential in two zones using the coaxial fibers described herein.

US Patent:

20200363273, Nov 19, 2020

Filed:

May 14, 2020

Appl. No.:

16/874490

Inventors:

- Oakland CA, US
Jian ZHOU - Davis CA, US

International Classification:

G01L 1/22
C08L 81/08
C08J 9/28
C08J 5/18

Abstract:

The present disclosure provides an aerogel comprising conductive polymers and cellulose nanofibrils (CNF). The present disclosure also provides a sensor comprising the aerogels of the present invention.

US Patent:

20170311918, Nov 2, 2017

Filed:

Apr 27, 2016

Appl. No.:

15/140187

Inventors:

- Otawara-shi, JP
Guobao WANG - Woodland CA, US
Wenli WANG - Briarcliff Manor NY, US
Jian ZHOU - Buffalo Grove IL, US
Zhou YU - Wilmette IL, US

Assignee:

Toshiba Medical Systems Corporation - Otawara-shi

International Classification:

A61B 6/00
A61B 6/03
A61B 6/00
A61B 6/00

Abstract:

A method and apparatus is provided to iteratively reconstruct a computed tomography (CT) image using a hybrid pre-log and post-log iterative reconstruction method. A pre-log formulation is applied to values of the projection data that are less than a threshold (e.g., X-ray intensities corresponding to high absorption trajectories). The pre-log formulation has better noise modeling and better image quality for reconstructed images, but is slow to converge. Projection data values above the threshold are processed using a post-log formulation, which has fast convergence but poorer noise handling. However, the poorer noise handling has little effect on high value projection data. Thus, the hybrid pre-log and post-log method provides improved image quality by more accurately modeling the noise of low count projection data, without sacrificing the fast convergence of the post-log method, which is applied to high-count projection data.