General Information
| Description | A signal deconvolution tool for in vivo dynamic contrast-enhanced imaging of complex tissues |
| Homepage | http://www.cbil.ece.vt.edu/software.htm |
Publications
CAM-CM: a signal deconvolution tool for in vivo dynamic contrast-enhanced imaging of complex tissues
Summary:
In vivo dynamic contrast-enhanced imaging tools provide non-invasive methods for analyzing various functional changes associated with disease initiation, progression and responses to therapy. The quantitative application of these tools has been hindered by its inability to accurately resolve and characterize targeted tissues due to spatially mixed tissue heterogeneity. Convex Analysis of Mixtures – Compartment Modeling (CAM-CM) signal deconvolution tool has been developed to automatically identify pure-volume pixels located at the corners of the clustered pixel time series scatter simplex and subsequently estimate tissue-specific pharmacokinetic parameters. CAM-CM can dissect complex tissues into regions with differential tracer kinetics at pixel-wise resolution and provide a systems biology tool for defining imaging signatures predictive of phenotypes.
Availability:
The MATLAB source code can be downloaded at the authors′ website www.cbil.ece.vt.edu/software.htm
Contact:
yuewang@vt.edu
Supplementary information:
Supplementary data are available at Bioinformatics online.
Related Tools
From phenotype to genotype
Published September 2012
An association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs
Sparse multi-view matrix factorization
Published June 2015
A multivariate approach to multiple tissue comparisons
UNDO
Published September 2014
A Bioconductor R package for unsupervised deconvolution of mixed gene expressions in tumor samples
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
