Paper Info
Title
Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution
Abstract
In biological imaging of thoracic tumors using FDG-PET, blurring due to breathing motion often significantly degrades the quality of the observed image, which then obscures the tumor boundary. The effect could be detrimental in small lesions. We demonstrate a deconvolution technique that combines patient-specific motion estimates of tissue trajectories with wavelet decomposition to compensate for breathing-motion induced artifacts. The lung motion estimates were obtained using a breathing model that maps spatial trajectories in CT data as a function of tidal volume and airflow measured by spirometry. Initial results showed good improvement in the spatial resolution, especially in the direction of major lung motion (craniocaudal) on phantom data as well as on clinical data with large or small tumors
Year
DOI
Venue
2006
10.1109/ISBI.2006.1625084
Arlington, VA
Keywords
Field
DocType
deconvolution,lung,medical image processing,motion compensation,phantoms,pneumodynamics,positron emission tomography,tumours,wavelet transforms,CT data,FDG-PET,airflow,breathing motion artifact compensation,lung motion estimates,major lung motion,patient-specific motion estimates,phantom,spatial resolution,spirometry,thoracic PET images,thoracic tumors,wavelet decomposition,wavelet-based deconvolution
Computer vision,Pattern recognition,Computer science,Imaging phantom,Motion compensation,Deconvolution,Artificial intelligence,Breathing,Motion estimation,Image resolution,Wavelet transform,Wavelet
Conference
ISSN
ISBN
Citations 
1945-7928
0-7803-9576-X
0
PageRank 
References 
Authors
0.34
1
6
Name
Order
Citations
PageRank
Issam El-Naqa152836.31
Daniel A. Low2393.98
Jeffrey D. Bradley331.76
Milos Vicic400.68
Joseph O. Deasy510514.98
El Naqa, I.600.34