Characteristic Quantities of Microvascular Structures in CLSM Volume Datasets

Author

Winter, Karsten ; Metz, Lars H W ; Kuska, Jens-Peer ; Frerich, Bernhard

Author_Institution

Univ. of Leipzig, Leipzig

Volume

26

Issue

8

fYear

2007

Firstpage

1103

Lastpage

1114

Abstract

A method for fully automated morphological and topological quantification of microvascular structures in confocal laser scanning microscopy (CLSM) volume datasets is presented. Several characteristic morphological and topological quantities are calculated in a series of image-processing steps and can be used to compare single components as well as whole networks of microvascular structures to each other. The effect of the individual image-processing steps is illustrated and characteristic quantities of measured volume datasets are presented and discussed.

Keywords

biomedical optical imaging; blood vessels; laser applications in medicine; medical image processing; optical microscopy; CLSM volume datasets; automated morphological quantification; automated topological quantification; confocal laser scanning microscopy; image-processing; microvascular structures; Anisotropic magnetoresistance; Image segmentation; In vitro; Microscopy; Morphology; Muscles; Network topology; Recruitment; Tissue engineering; Volume measurement; Angiogenesis; anisotropic skeletonization; characteristic quantities; compactness; confocal laser scanning microscopy (CLSM); morphology; topology; Algorithms; Animals; Artificial Intelligence; Databases, Factual; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Microcirculation; Microscopy, Confocal; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/TMI.2007.900379

Filename

4280901