Efficient large scale image stitching for virtual microscopy

Author

Steckhan, Dirk ; Bergen, Tobias ; Wittenberg, Thomas ; Rupp, Stephan

Author_Institution

Image Processing and Medical Engineering Department, Fraunhofer-Institute for Integrated Circuits IIS, 91058 Erlangen, Germany

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

4019

Lastpage

4023

Abstract

We describe a weighted least squares based global registration method for creating virtual slides. In microscopy a large number of fields of view is required to capture a complete slide. These fields of view are aligned in such a way that a globally consistent virtual slide is formed. The positioning accuracy of the presented algorithm is evaluated using a new method based on synthetic virtual slides. Using these synthetic virtual slides it is now possible to give a ground truth about the positioning accuracy of stitching algorithm for virtual microscopy. Our algorithm has been evaluated on these synthetic slides and it can be shown that on average, each image exhibits a mean deviation of 0.8 pixel with respect to the correct position. Additionally the presented algorithm has been evaluated on several real world examples.

Keywords

Computer errors; Image coding; Image processing; Large scale integration; Large-scale systems; Least squares methods; Microscopy; Parameter estimation; Probes; Transforms; Adult; Algorithms; Brain; Cognition; Computer Simulation; Female; Hemoglobins; Humans; Image Processing, Computer-Assisted; Male; Microscopy; Models, Statistical; Oxygen; Software; User-Computer Interface;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650091

Filename

4650091