Registration of Image Modalities for Analyses of Tissue Samples Using 3D Image Modelling

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E-Poster

https://storage.unitedwebnetwork.com/files/1099/67d88be300f0943fc3b766e8bcf852c1.pdf

Abstract Title

First Name *

Joachim

Last Name *

Jankowski

Co-author 1

Vera Jankowski vjankowski@ukaachen.de University Hospital RWTH Aachen

Co-author 2

Juliane Herrmann jherrmann@ukaachen.de University Hospital RWTH Aachen

Co-author 3

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Introduction

Biopsies are a diagnostic tool for the diagnosis of histopathological, molecular biological, proteomic, and imaging data, to narrow down disease patterns or identify diseases. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) provides an emerging state-of-the-art technique for molecular imaging of biological tissue. The aim of this study is the registration of MALDI MSI data sets and data acquired from different histological stainings to create a 3D model of biopsies and whole organs.

Methods

The registration of the image modalities is achieved by using a variant of our global, deformable Schatten-q-Norm registration approach. Utilizing a connected-component segmentation for background removal followed by a principal-axis based linear pre-registration, the images are adjusted into a homogeneous alignment. This registration approach is accompanied by the 3D reconstruction of histological and MALDI MSI data.

Results

Conclusions

In conclusion, this multimodal image approach offers the possibility of molecular analyses of tissue specimens in clinical research and diagnosis.

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