Document Detail


Quantitative analysis of dynamic contrast-enhanced MRI datasets of the metacarpophalangeal joints.
MedLine Citation:
PMID:  17889336     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
RATIONALE AND OBJECTIVES: In this article, we propose an alternative approach to voxel-by-voxel analysis, which overcomes problems associated with heuristic methods currently used for dynamic contrast-enhanced MRI (DCE-MRI) data assessment. We aim to allow fully automated extraction of various heuristic parameters via robust preprocessing methods and a new technique for classification of temporal patterns of contrast agent uptake, making full use of all available dynamic frames of the datasets. We also demonstrate that application of efficient preprocessing methods permits more accurate analysis of the dynamic data. MATERIAL AND METHODS: Ten DCE-MRI datasets enhanced by gadolinium diethylene triamine pentacetic acid were acquired from patients with rheumatoid arthritis using a 1.5-T MRI scanner. Fully automated voxel-by-voxel analysis of DCE-MRI signal intensity curves from 60 temporal slices was performed using a new method. Qualitative evaluation of the degree of inflammation was done via constructing parametric maps and quantitative by computing various heuristics such as maximum rate of enhancement, initial rate of enhancement, and time of onset of enhancement. RESULTS: Quantitative and qualitative evaluation obtained for 10 DCE-MRI datasets is presented. We demonstrate that preprocessing techniques compensate for patient movement, contribute to data fidelity and therefore permit more robust estimation of various heuristics such as maximum rate of enhancement, initial rate of enhancement, and time of onset of enhancement. Automatically generated parametric maps of these heuristics show favorable characteristics, permitting easier differentiation of structures of interest. These results are free from the subjective input and therefore easily reproducible. Furthermore, the proposed classification scheme provides information on the pattern of contrast uptake previously unavailable. CONCLUSION: Our preliminary results demonstrate the potential of the proposed method for providing objective quantitative and qualitative assessment of DCE-MRI in the metacarpophalangeal joints. Further evaluation within a clinical setting is needed to examine the method's diagnostic utility.
Authors:
Olga A Kubassova; Roger D Boyle; Aleksandra Radjenovic
Related Documents :
19002366 - Dynamic magnetic resonance imaging: reliability of anatomical landmarks and reference l...
15592066 - Noncontrast dynamic magnetic resonance imaging for quantitative assessment of female se...
6844616 - Contrast enhancement technique for dynamic hepatic computed tomographic scanning.
11415906 - Dynamic contrast-enhanced t2*-weighted mr imaging of tumefactive demyelinating lesions.
15334686 - Transcutaneous perianal sonography: a sensitive method for the detection of perianal in...
16934316 - Cardiac imaging: the biological effects of diagnostic cardiac ultrasound.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Academic radiology     Volume:  14     ISSN:  1076-6332     ISO Abbreviation:  Acad Radiol     Publication Date:  2007 Oct 
Date Detail:
Created Date:  2007-09-24     Completed Date:  2008-05-06     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9440159     Medline TA:  Acad Radiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1189-200     Citation Subset:  IM    
Affiliation:
School of Computing, University of Leeds, Leeds, United Kingdom LS2 9JT. olga@comp.leeds.ac.uk
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Contrast Media*
Humans
Magnetic Resonance Imaging* / methods
Metacarpophalangeal Joint / pathology*
Chemical
Reg. No./Substance:
0/Contrast Media

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


Previous Document:  Model-based erosion spotting and visualization in rheumatoid arthritis.
Next Document:  Segmentation of the bones in MRIs of the knee using phase, magnitude, and shape information.