Document Detail


Maximum-likelihood estimation of detector response for PET image reconstruction.
MedLine Citation:
PMID:  17946519     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
An accurate system model is essential for reconstructing high-resolution images. While the system response of a positron emission tomography (PET) system can be measured directly, the process is often difficult to perform and time-consuming. Here we propose a maximum likelihood method for estimating the detector response from projections of a point source at a set of radial locations in the field of view. The detector response functions for all radial bins are estimated simultaneously. No interpolation is required. Compared to the method of direct measurement, the proposed approach requires less measurements and results in sparse system matrix because a factored system matrix is used, which reduces the reconstruction time. We conducted computer simulation to demonstrate the feasibility of the proposed method.
Authors:
Jinyi Qi
Related Documents :
18218449 - 3-d maximum a posteriori estimation for single photon emission computed tomography on m...
19412209 - Optimization of probe geometry for diffuse optical brain imaging based on measurement d...
19342339 - Content adaptive mesh representation of images using binary space partitions.
20596149 - Edge-preserving sectional image reconstruction in optical scanning holography.
17821999 - Optimization of slice sensitivity profile for radiographic tomosynthesis.
19027339 - Improved self-calibrated spiral parallel imaging using jsense.
18267469 - Shape preserving local histogram modification.
24297029 - Flexible integration of high-imaging- resolution and high-power arrays for ultrasound-i...
9081989 - Surgical correction of skeletal class iii malocclusions using cranial base length (corr...
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  1     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2006  
Date Detail:
Created Date:  2007-10-23     Completed Date:  2008-03-13     Revised Date:  2014-09-15    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2530-3     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artificial Intelligence*
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Likelihood Functions
Pattern Recognition, Automated / methods*
Phantoms, Imaging
Positron-Emission Tomography / instrumentation,  methods*
Reproducibility of Results
Sensitivity and Specificity
Grant Support
ID/Acronym/Agency:
R01 EB000194/EB/NIBIB NIH HHS; R01 EB000194/EB/NIBIB NIH HHS; R01 EB000194-01A1/EB/NIBIB NIH HHS; R01 EB000194-02/EB/NIBIB NIH HHS; R01 EB000194-03/EB/NIBIB NIH HHS; R01 EB000194-04/EB/NIBIB NIH HHS; R01 EB000194-05/EB/NIBIB NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  A localization method using 3-axis magnetoresistive sensors for tracking of capsule endoscope.
Next Document:  3D breast microwave imaging based on wavefront reconstruction.