Invention Grant
US07653230B2 Methods and systems for image reconstruction using low noise kernel
有权
使用低噪声内核的图像重构方法和系统
- Patent Title: Methods and systems for image reconstruction using low noise kernel
- Patent Title (中): 使用低噪声内核的图像重构方法和系统
-
Application No.: US11358242Application Date: 2006-02-21
-
Publication No.: US07653230B2Publication Date: 2010-01-26
- Inventor: Jiang Hsieh
- Applicant: Jiang Hsieh
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Armstrong Teasdale LLP
- Main IPC: G06K9/00
- IPC: G06K9/00

Abstract:
Methods and systems for a system for visualizing relatively small structures within an object are provided. The system includes an image acquisition sub-system for acquiring a dataset for a volume of interest and processor for generating image data from the acquired data wherein the processor is programmed to execute a high resolution filter kernel algorithm that includes a weighting factor applied to a ramp filter that scales relatively high frequency regions of the image dataset by a factor greater than one. The high resolution filter kernel algorithm also includes a windowing function applied to the weighted ramp filter that facilitates reducing aliasing artifacts in reconstructed images generated from the image dataset.
Public/Granted literature
- US20070196006A1 Methods and systems for image reconstruction using low noise kernel Public/Granted day:2007-08-23
Information query