A meta-graph approach for analyzing whole slide histopathological images of human brain tissue with Alzheimer's disease biomarkers

Gabriel Jimenez, Pablo Mas, Anuradha Kar, Julien Peyrache, Lea Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu

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

Abstract

Recently, high-performance deep learning models have enabled automatic and precise analysis of medical images with high content. In digital histopathology, a challenge lies in analyzing Whole Slide Images (WSI) due to their large size, often requiring splitting them into smaller patches for deep learning models. This leads to the loss of global tissue information and limits the classification or clustering of patients based on tissue characteristics. In this study, we develop a meta-graph approach for semantic spatial analysis of WSI of human brain tissue containing tau protein aggregates, a hallmark of Alzheimer's disease (AD) in gray matter. Our pipeline extracts morphological features of tau aggregates, such as forming neuritic plaques, and builds a graph based on Delaunay triangulation at the WSI level to extract topological features. This generates morphological and topological data from WSI for patient classification and clustering. We tested this pipeline on a dataset of 15 WSIs from different AD patients. We aim to identify new insights into AD evolution and provide a generic framework for WSI characterization and analysis.

Original languageEnglish
Title of host publicationMedical Imaging 2023
Subtitle of host publicationDigital and Computational Pathology
EditorsJohn E. Tomaszewski, Aaron D. Ward
PublisherSPIE
ISBN (Electronic)9781510660472
DOIs
StatePublished - 2023
Externally publishedYes
EventMedical Imaging 2023: Digital and Computational Pathology - San Diego, United States
Duration: 19 Feb 202323 Feb 2023

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume12471
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2023: Digital and Computational Pathology
Country/TerritoryUnited States
CitySan Diego
Period19/02/2323/02/23

Keywords

  • Alzheimer's disease
  • Deep Learning
  • Graph Topology
  • Morphological Features
  • Neuritic Plaques
  • Neurofibrillary Tangles
  • Segmentation
  • Tau Proteins
  • Whole Slide Images

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