Quantitative spectral imaging
作者： Roland Proksa
DOI:
关键词: Computer vision 、 Optics 、 Artificial intelligence 、 Computer science 、 Spectral imaging 、 Spectral image 、 Energy (signal processing) 、 Region of interest
摘要: A method includes generating a first measurement spectral image from data based on predetermined energy. The further determining value for region of interest in the image. overlying connection with corresponding visually presented display image, wherein energy is different
lens.org 参考文章(12)
Louis J. Denes, Daniel Huber, James Osborn, Chian Kent Kwoh, Raphael Hirsch, Method of assessing localized shape and temperature of the human body ,(2005)
Tomoya Takahashi, Kazuhiro Gono, Shoichi Amano, Mutsumi Ohshima, Biological observation apparatus ,(2006)
Renuka Uppaluri, Carson Hale Thomas, Kadri Nizar Jabri, Amber Elaine Rader, John Michael Sabol, Gopal B. Avinash, Computer aided diagnosis from multiple energy images ,(2002)
Takeshi Ohkubo, Kazuo Shimura, Bone image processing method and apparatus ,(1997)
Taly Gilat Schmidt, Optimal "image-based" weighting for energy-resolved CT. Medical Physics. ,vol. 36, pp. 3018- 3027 ,(2009) , 10.1118/1.3148535
Milos Miljkovic, Melissa Romeo, Max Diem, Jennifer Schubert, Benjamin Bird, Kostas Papamarkakis, Method of reconstituting cellular spectra useful for detecting cellular disorders ,(2009)
Xueli Wang, Xiaoyan Yu, Zhenhua Xu, Display device, image displaying method and computerized tomography apparatus ,(2014)
Christer Ullberg, Tom Francke, Coherent scatter imaging ,(2004)
Ernst-Peter Ruhrnschopf, Klaus Klingenbeck-Regn, Wolfgang Harer, Method for reducing image noise in the context of capturing an image using on different radiation spectra ,(2008)
Björn Dr. Heismann, Method for preparing reconstructed CT image data records and CT system ,(2009)