Skip to main navigation Skip to search Skip to main content

Three-dimensional data analytics for pathology imaging

  • Emory University
  • Stony Brook University

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

Abstract

Three-dimensional (3D) structural changes and spatial relationships of micro-anatomic objects in whole-slide digital pathology images encode a large wealth of information on normal tissue development and disease progression. In this paper, we present a complete framework for quantitative spatial analytics of 3D micro-anatomic objects with pathology image volumes, with special focus on vessels and nuclei. Reconstructing 3D vessel structures from a sequence of whole-slide images, we simulate 3D biological systems by generating 3D nuclei uniformly distributed around 3D vessels. Given nuclei are distributed around vessels, intersection detection with 3D nuclei and vessels is conducted by a heuristic algorithm with data structure Axis-Aligned Bounding-Box (AABB). Motivated by real-world use case, we also travel the AABB tree constructed from 3D vessel structures to perform the distance based query between 3D nuclei and vessels. We quantitatively evaluate the performance of 3D intersection detection by the heuristic algorithm and distance-based query based on AABB tree traversal. Experimental results demonstrate the efficiency of our framework for 3D spatial analytics with whole-slide serial pathology image dataset.

Original languageEnglish
Title of host publicationBiomedical Data Management and Graph Online Querying - VLDB 2015 Workshops, Big-O(Q) and DMAH, Revised Selected Papers
EditorsArijit Khan, Gang Luo, Chunhua Weng, Fusheng Wang, Prasenjit Mitra, Cong Yu
PublisherSpringer Verlag
Pages109-125
Number of pages17
ISBN (Print)9783319415758
DOIs
StatePublished - 2016
Event1st International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2015 and Workshop on Big-Graphs Online Querying, Big-O(Q) 2015 held in conjunction with 41st International Conference on Very Large Data Bases, VLDB 2015 - Waikoloa, United States
Duration: Aug 31 2015Sep 4 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9579
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2015 and Workshop on Big-Graphs Online Querying, Big-O(Q) 2015 held in conjunction with 41st International Conference on Very Large Data Bases, VLDB 2015
Country/TerritoryUnited States
CityWaikoloa
Period08/31/1509/4/15

Keywords

  • 3D data simulation
  • AABB tree
  • Distance-base query
  • Pathology imaging
  • Spatial analytics

Fingerprint

Dive into the research topics of 'Three-dimensional data analytics for pathology imaging'. Together they form a unique fingerprint.

Cite this