作者: Robert T. Smith , Csaba K. Zoltani , George J. Klem , Monte W. Coleman
DOI: 10.1364/AO.30.000573
关键词:
摘要: A new algorithm for the reconstruction of tomographic images from sparse data sets is presented. finite element technique was devised to solve constrained optimization problem which resulted analysis using maximum entropy formalism. The improvement in image quality over conventional techniques illustrated by several examples.