Motion correction of intravital microscopy of preclinical lung tumour imaging using multichannel structural image descriptor

Bartlomiej W. Papiez, Thomas Tapmeier, Mattias P. Heinrich, Ruth J. Muschel, Julia A. Schnabel

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Optical microscopy imaging techniques have enabled a wide spectrum of biomedical applications. Among visualization, a quantitative analysis of tumour cell growth in lungs is of great importance. The main challenges inherently linked with such data analysis are: local contrast changes related to tissue depth, lack of clear object boundaries due to the presence of noise, and cluttering with motion artefacts due to translational shift of the specimen and non-linear lung tissue collapse. This paper aims to address these problems by introducing a novel image registration framework specifically designed to correct for motion artefacts from optical microscopy of lung tumour cells imaging. For this purpose, a previously developed modality independent neighbourhood descriptor (MIND) was adapted to cope with multiple image channels for optical microscopy data. Two versions of this novel multichannel MIND (mMIND) are here presented. The proposed registration technique estimates both rigid transformations and non-linear deformations both common in the optical microscopy volumes and time-sequences acquisition. The performance of our registration technique based on a novel multichannel image representation is demonstrated using two distinctive optical imaging data sets of lung cells: 3D volumes with translation motion artefacts only, and time-sequences with both rigid and non-linear motion artefacts. Visual inspection of the registration outcomes and reported results of the qualitative evaluation show a promising improvement compared to images without correction.

Original languageEnglish
Title of host publicationBiomedical Image Registration - 6th International Workshop, WBIR 2014, Proceedings
EditorsSébastien Ourselin, Marc Modat
Place of PublicationCham
PublisherSpringer
Pages164-173
Number of pages10
ISBN (Electronic)9783319085548
ISBN (Print)9783319085531
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event6th International Workshop on Biomedical Image Registration, WBIR 2014 - London, United Kingdom
Duration: 7 Jul 20148 Jul 2014

Publication series

NameLecture Notes in Computer Science
Volume8545
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Workshop on Biomedical Image Registration, WBIR 2014
CountryUnited Kingdom
CityLondon
Period7/07/148/07/14

Keywords

  • image registration
  • lung tumour cell imaging
  • microscopy imaging
  • structural image representation

Cite this

Papiez, B. W., Tapmeier, T., Heinrich, M. P., Muschel, R. J., & Schnabel, J. A. (2014). Motion correction of intravital microscopy of preclinical lung tumour imaging using multichannel structural image descriptor. In S. Ourselin, & M. Modat (Eds.), Biomedical Image Registration - 6th International Workshop, WBIR 2014, Proceedings (pp. 164-173). (Lecture Notes in Computer Science; Vol. 8545 ). Springer. https://doi.org/10.1007/978-3-319-08554-8_17