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BibTeX
Medical image restoration of dynamic lungs using optical transfer function of lung motion
Journal of Biomedical Optics, 2001-04, Vol.6 (2), p.193-199
Arbel, D
Hadar, O
Kopeika, N. S
2001
Details
Autor(en) / Beteiligte
Arbel, D
Hadar, O
Kopeika, N. S
Titel
Medical image restoration of dynamic lungs using optical transfer function of lung motion
Ist Teil von
Journal of Biomedical Optics, 2001-04, Vol.6 (2), p.193-199
Ort / Verlag
United States
Erscheinungsjahr
2001
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
When carrying out medical imaging based on detection of isotopic radiation levels of internal organs such a lungs or heart, distortions, and blur arise as a result of the organ motion during breathing and blood supply. Consequently, image quality declines, despite the use of expensive high resolution devices and, such devices are not exploited fully. A method with which to overcome the problem is image restoration. Previously, we suggested and developed a method for calculating numerically the optical transfer function (OTF) for any type of image motion. The purpose of this research is restoration of original isotope images (of the lungs) by restoration methods that depend on the OTF of the real time relative motion between the object and the imaging system. This research uses different algorithms for the restoration of an image, according to the OTF of the lung motion, which is in several directions simultaneously. One way of handling the three-dimensional movement is to decompose the image into several portions, to restore each portion according to its motion characteristics, and then to combine all the image portions back into a single image. An additional complication is that the image was recorded at different angles. The application of this research is in medical systems requiring high resolution imaging. The main advantage of this approach is its low cost versus conventional approaches. ©
Sprache
Englisch
Identifikatoren
ISSN: 1083-3668
eISSN: 1560-2281
DOI: 10.1117/1.1352749
Titel-ID: cdi_proquest_miscellaneous_70875829
Format
–
Schlagworte
Algorithms
,
Diagnostic Imaging
,
Humans
,
image motion
,
Image Processing, Computer-Assisted
,
Image quality
,
Image reconstruction
,
image restoration
,
image vibration
,
isotrope imaging
,
Iterative methods
,
Lung - physiology
,
lung motion
,
medical imaging
,
Models, Biological
,
Motion
,
Optical transfer function
,
Optics and Photonics
,
Respiratory mechanics
,
Respiratory system
,
Three dimensional computer graphics
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