Accuracy evaluation for region centroid-based registration of fluorescent CLSM imagery

Sang Chul Lee, Peter Bajcsy, Amy Lin, Robert Folberg

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We present an accuracy evaluation of a semiautomatic registrationtechnique for 3D volume reconstruction from fluorescent confocallaser scanning microscope (CLSM) imagery. The presentedsemiautomatic method is designed based on ourobservations that (a) an accurate point selection is much harderthan an accurate region (segment) selection for a human, (b) acentroid selection of any region is less accurate by a human thanby a computer, and (c) registration based on structural shape of aregion rather than based on intensity-defined point is more robustto noise and to morphological deformation of features acrossstacks. We applied the method to image mosaicking and imagealignment registration steps and evaluated its performance with 20human subjects on CLSM images with stained blood vessels. Ourexperimental evaluation showed significant benefits of automationfor 3D volume reconstruction in terms of achieved accuracy,consistency of results, and performance time. In addition, theresults indicate that the differences between registrationaccuracy obtained by experts and by novices disappear with theproposed semiautomatic registration technique while the absoluteregistration accuracy increases.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalEurasip Journal on Applied Signal Processing
Volume2006
DOIs
StatePublished - 2006
Externally publishedYes

Fingerprint

Dive into the research topics of 'Accuracy evaluation for region centroid-based registration of fluorescent CLSM imagery'. Together they form a unique fingerprint.

Cite this