Document Detail


Statistical approach for detection and localization of a fluorescing mouse tumor in Intralipid.
MedLine Citation:
PMID:  15861835     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We present a method for detecting and localizing a fluorescing tumor obscured underneath several millimeters of a multiply scattering, homogeneous medium from fluorescence measurements made above the surface. Using a statistical model of the measurement system, we develop approaches for detection by use of a binary hypothesis testing approach and localization by use of maximum-likelihood estimation. We also compute the probability of tumor detection and the Cramér-Rao lower bound for the localization estimate error, which are performance metrics that could potentially be optimized in an experimental design. We validate the methods in an experimental study involving an excised mouse tumor tagged with a new folate-indocyanine dye and obscured under a tissue-simulating lipid suspension.
Authors:
Adam B Milstein; Michael D Kennedy; Philip S Low; Charles A Bouman; Kevin J Webb
Related Documents :
18499465 - Towards developing standard operating procedures for pre-clinical testing in the mdx mo...
25424905 - A mathematical model for understanding fluid flow through engineered tissues containing...
22792195 - Conformational features of topologically classified rna secondary structures.
22134225 - Flamengo: a fuzzy logic approach for methyl group assignment using noesy and paramagnet...
8837805 - Procedural and strain-related variables significantly affect outcome in a murine model ...
16298455 - Misuse of anova with cumulative intakes.
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Validation Studies    
Journal Detail:
Title:  Applied optics     Volume:  44     ISSN:  0003-6935     ISO Abbreviation:  Appl Opt     Publication Date:  2005 Apr 
Date Detail:
Created Date:  2005-05-02     Completed Date:  2005-05-31     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0247660     Medline TA:  Appl Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2300-10     Citation Subset:  IM    
Affiliation:
School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Avenue, West Lafayette, Indiana 47907-2035, USA. milstein@ll.mit.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms*
Animals
Artificial Intelligence
Cell Culture Techniques / methods
Cell Line, Tumor
Computer Simulation
Fat Emulsions, Intravenous
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Leukemia L1210 / pathology*
Likelihood Functions
Mice
Mice, Nude
Microscopy, Fluorescence / methods*
Models, Biological*
Models, Statistical
Neoplasm Staging / methods
Pattern Recognition, Automated / methods
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
Spectrometry, Fluorescence / methods*
Chemical
Reg. No./Substance:
0/Fat Emulsions, Intravenous

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


Previous Document:  Development of a bioengineered tissue model and its application in the investigation of the depth se...
Next Document:  Improved analysis on the viewing angle of integral imaging.