VESSEL DIAMETER TRACKING IN INTRAVITAL MICROSCOPY IMAGE SEQUENCES

Author

Lee, Jaesung ; Jirapatnakul, Artit ; Reeves, Anthony P. ; Crowe, William E. ; Sarelius, Ingrid H.

Author_Institution

Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY

fYear

2007

fDate

12-15 April 2007

Firstpage

360

Lastpage

363

Abstract

A new feature-based tracking algorithm was developed for measuring diameter of vessels in intravital video microscopy image sequences. Testing was performed with ten synthetic image sequences with known diameters and ten intravital microscopy sequences. The automatic measurements were compared with the manual measurements using linear regression analysis. The regression analysis indicated that our method is in agreement with manual measurements by human observers. The reproducibility of the method was evaluated based on Bland-Altman analysis. Bland-Altman statistic for the automated method was narrower than for the manual measurements, indicating that the automated method has a better reproducibility than human raters

Keywords

biomedical measurement; biomedical optical imaging; blood vessels; diameter measurement; feature extraction; haemodynamics; image registration; image sequences; medical image processing; optical microscopy; optical tracking; regression analysis; video signal processing; Bland-Altman analysis; Bland-Altman statistic; automatic measurements; image registration; image sequences; intravital microscopy sequences; linear regression analysis; manual measurements; microcirculation; vessel diameter tracking; Anthropometry; Humans; Image sequences; Linear regression; Microscopy; Performance evaluation; Regression analysis; Reproducibility of results; Statistics; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

1-4244-0672-2

Electronic_ISBN

1-4244-0672-2

Type

conf

DOI

10.1109/ISBI.2007.356863

Filename

4193297