Document Detail


Quantitative coronary angiography using image recovery techniques for background estimation in unsubtracted images.
MedLine Citation:
PMID:  17985646     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Densitometry measurements have been performed previously using subtracted images. However, digital subtraction angiography (DSA) in coronary angiography is highly susceptible to misregistration artifacts due to the temporal separation of background and target images. Misregistration artifacts due to respiration and patient motion occur frequently, and organ motion is unavoidable. Quantitative densitometric techniques would be more clinically feasible if they could be implemented using unsubtracted images. The goal of this study is to evaluate image recovery techniques for densitometry measurements using unsubtracted images. A humanoid phantom and eight swine (25-35 kg) were used to evaluate the accuracy and precision of the following image recovery techniques: Local averaging (LA), morphological filtering (MF), linear interpolation (LI), and curvature-driven diffusion image inpainting (CDD). Images of iodinated vessel phantoms placed over the heart of the humanoid phantom or swine were acquired. In addition, coronary angiograms were obtained after power injections of a nonionic iodinated contrast solution in an in vivo swine study. Background signals were estimated and removed with LA, MF, LI, and CDD. Iodine masses in the vessel phantoms were quantified and compared to known amounts. Moreover, the total iodine in left anterior descending arteries was measured and compared with DSA measurements. In the humanoid phantom study, the average root mean square errors associated with quantifying iodine mass using LA and MF were approximately 6% and 9%, respectively. The corresponding average root mean square errors associated with quantifying iodine mass using LI and CDD were both approximately 3%. In the in vivo swine study, the root mean square errors associated with quantifying iodine in the vessel phantoms with LA and MF were approximately 5% and 12%, respectively. The corresponding average root mean square errors using LI and CDD were both 3%. The standard deviations in the differences between measured iodine mass in left anterior descending arteries using DSA and LA, MF, LI, or CDD were calculated. The standard deviations in the DSA-LA and DSA-MF differences (both approximately 21 mg) were approximately a factor of 3 greater than that of the DSA-LI and DSA-CDD differences (both approximately 7 mg). Local averaging and morphological filtering were considered inadequate for use in quantitative densitometry. Linear interpolation and curvature-driven diffusion image inpainting were found to be effective techniques for use with densitometry in quantifying iodine mass in vitro and in vivo. They can be used with unsubtracted images to estimate background anatomical signals and obtain accurate densitometry results. The high level of accuracy and precision in quantification associated with using LI and CDD suggests the potential of these techniques in applications where background mask images are difficult to obtain, such as lumen volume and blood flow quantification using coronary arteriography.
Authors:
Jerry T Wong; Farzad Kamyar; Sabee Molloi
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Medical physics     Volume:  34     ISSN:  0094-2405     ISO Abbreviation:  Med Phys     Publication Date:  2007 Oct 
Date Detail:
Created Date:  2007-11-07     Completed Date:  2007-12-06     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0425746     Medline TA:  Med Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  4003-15     Citation Subset:  IM    
Affiliation:
Department of Radiological Sciences, University of California, Irvine, California 92697, USA.
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MeSH Terms
Descriptor/Qualifier:
Animals
Coronary Angiography / instrumentation*,  methods*
Coronary Vessels / pathology
Densitometry / instrumentation,  methods*
Diffusion
Humans
Image Processing, Computer-Assisted / methods*
Iodine / pharmacology
Phantoms, Imaging
Reproducibility of Results
Subtraction Technique
Swine
Grant Support
ID/Acronym/Agency:
R01 HL67159/HL/NHLBI NIH HHS
Chemical
Reg. No./Substance:
7553-56-2/Iodine

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


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