DocumentCode :
307546
Title :
Accelerating blind deconvolution algorithm for light microscopy
Author :
Bhattacharyya, Santosh ; Szarowski, D. ; McCauley, P. ; Turner, J. ; Holmes, T.
Author_Institution :
Biomed. Eng. Dept., JEC 7049, Troy, NY, USA
Volume :
1
fYear :
1995
fDate :
20-25 Sep 1995
Firstpage :
423
Abstract :
A preliminary study to accelerate the ML-EM blind deconvolution algorithm for 3D microscopic image reconstruction has been performed. The non-accelerated blind algorithm usually generates a sharp reconstructed image at around 300 iterations. We obtained a comparable image reconstruction at around 50 iterations using the accelerated version of the blind algorithm
Keywords :
biological techniques; biology computing; biomedical imaging; deconvolution; image reconstruction; iterative methods; maximum likelihood estimation; medical image processing; optical microscopy; 3D microscopic image reconstruction; 50 iterations; ML-EM blind deconvolution algorithm; accelerated version; accelerating blind deconvolution algorithm; image reconstruction; light microscopy; neonatal rat hippocampus; pyramidal neuron; Acceleration; Artificial intelligence; Deconvolution; Image converters; Image reconstruction; Laboratories; Microscopy; Neurons; Positron emission tomography; Protocols;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
Type :
conf
DOI :
10.1109/IEMBS.1995.575181
Filename :
575181
Link To Document :
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