A self-referencing level-set method for image reconstruction from sparse Fourier samples

International Journal of Computer Vision

Volumn 50, Issue 3, 2002, Pages 253-270

  Ye, Jong Chul ^a   Bresler, Yoram ^b   Moulin, Pierre ^b  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

Fourier imaging; Geometry driven diffusion; Inverse problems; Level set; Medical imaging; Partial data

Indexed keywords

ALGORITHMS; ASYMPTOTIC STABILITY; COMPUTATIONAL GEOMETRY; COMPUTERIZED TOMOGRAPHY; FOURIER TRANSFORMS; GRADIENT METHODS; IMAGE SEGMENTATION; INVERSE PROBLEMS; MEDICAL IMAGING; OPTIMIZATION; POSITRON EMISSION TOMOGRAPHY; SET THEORY;

CONJUGATE GRADIENT METHOD; FOURIER IMAGING; GEOMETRY DRIVEN DIFFUSION; SELF REFERENCING LEVEL SET METHOD; SPARSE FOURIER SAMPLES;

IMAGE RECONSTRUCTION;

EID: 0036893154     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1020822324006     Document Type: Article

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