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Comput Med Imaging Graph. 2017 Dec;62:34-40. doi: 10.1016/j.compmedimag.2017.08.001. Epub 2017 Aug 24.

Improved threshold selection for the determination of volume of distribution of nanoparticles administered by convection-enhanced delivery.

Author information

1
Department of Biomedical Engineering, Yale University, New Haven, CT, 06511, USA.
2
Department of Biomedical Engineering, Yale University, New Haven, CT, 06511, USA. Electronic address: mark.saltzman@yale.edu.

Abstract

Nanotechnology, in conjunction with convection-enhanced delivery (CED), has gained traction as a promising method to treat many debilitating neurological diseases, including gliomas. One of the key parameters to evaluate the effectiveness of delivery is the volume of distribution (Vd) of nanoparticles within the brain parenchyma. Measurements of Vd are commonly made using fluorescent reporter systems. However, reported analyses lack accurate and robust methods for determining Vd. Current methods face the problems of varying background intensities between images, high intensity aggregates that can shift intensity distributions, and faint residual backgrounds that can occur as artifacts of fluorescent imaging. These problems can cause inaccurate results to be reported when a percentage of the maximum intensity is set as the threshold value. Here we show an implementation of Otsu's method more reliably selects accurate threshold values than the fixed-threshold method. We also introduce a goodness of fit value η that quantifies the appropriateness of using Otsu's method to calculate Vd. Adoption of Otsu's method and reporting of η may help standardize fluorescent image analysis of nanoparticles administered by convection-enhanced delivery.

KEYWORDS:

Convection-enhanced delivery; Nanoparticle; Otsu’s method; Volume of distribution

PMID:
28927549
PMCID:
PMC5716935
DOI:
10.1016/j.compmedimag.2017.08.001
[Indexed for MEDLINE]
Free PMC Article

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