Non-linear registration of histological images for 3-D middle-ear modelling

Authors

  • Shruti Nambiar Department of BioMedical Engineering, McGill University, Montréal, Que., Canada
  • Mallar M. Chakravarty Department of BioMedical Engineering, McGill University, Montréal, Que., Canada
  • W. Robert J. Funnell Department of BioMedical Engineering, McGill University, Montréal, Que., Canada
  • D.Louis Collins Department of BioMedical Engineering, McGill University, Montréal, Que., Canada

Keywords:

Algorithms, Data structures, Image matching, Pixels, Sensory perception, Three dimensional, Data set, Hamatoxylin, Non-linear registration, Non-linear warping algorithm

Abstract

The adaptation of the non-linear warping algorithm for registration of a human middle-ear histological data set was investigated. The histological block was cut into 20-?m-thick sections and every tenth slice was stained with hamatoxylin and eosin to yield a total of 56 slices. Each slice was digitized using a slide scanner to form images of size 3644×2152 pixels. The non-linear warping algorithm used is a variant of the Automatic Nonlinear image Matching and Anatomical Labelling (ANIMAL) algorithm. The quality of the non-linear transformation can be altered by three parameters such as the similarity cost ratio, the stiffness and the weight. The application of the registration algorithm resulted in good report for some structures but poor results for other structures.

Published

2007-09-01

How to Cite

1.
Nambiar S, Chakravarty MM, Funnell WRJ, Collins D. Non-linear registration of histological images for 3-D middle-ear modelling. Canadian Acoustics [Internet]. 2007Sep.1 [cited 2020Oct.25];35(3):78-9. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1909

Issue

Section

Proceedings of the Acoustics Week in Canada