CANON MEDICAL SYSTEMS CORPORATION;UNIVERSITY HEALTH NETWORK
发明人:
Chung Chan,Zhou Yu,Jian Zhou,Patrik Rogalla,Bernice Hoppel,Kurt Walter Schultz
申请号：
US16228512
公开号：
US10685461B1
申请日:
2018.12.20
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A method and apparatus is provided to iteratively reconstruct a computed tomography (CT) image using a spatially-varying content-oriented regularization parameter, thereby achieving uniform statistical properties within respective organs/regions and different statistical properties (e.g., degree of smoothing and noise level) among the respective organs/regions. For example, less smoothing and sharper features/resolution can be applied within a lung region than within a soft-tissue region by using a smaller regularization parameter value in the lung region than in the soft-tissue region. This can be achieved, e.g., using a minimum intensity projection to suppress/eliminate sub-solid nodules in the lung region. The content-oriented regularization parameter can be generated by reconstructing an initial CT image, which is then segmented/classified according to organs and/or tissue type. Segmenting the image and generating the content-oriented regularization parameter can be integrated into one process by applying an HU-to-β mapping to the CT image.
