Modeling, Validation And Verification Of Cell-Scaffold Contact Measurements Over Terabyte-Sized 3D Image Collection

Keywords

3D; Big Data; Image Processing

Abstract

This poster presents the problem of 3D contact measurements from two co-registered volumetric images (z-stacks). The 3D contact measurement consists of (a) segmenting an object of interest in each z-stack, (b) computing the relative spatial positions of the detected objects to detect contacts, (c) validating the accuracy of segmentation, and (d) visually verifying correct contact detection. The 3D measurement has to overcome challenges related to (1) intensity bleed-through across co-registered volumes, (2) insufficient knowledge about statistics and geometry of objects, (3) large RAM requirements (∼3GB just to load the input data) and data volume (>1TB), and (4) complexity of 3D visual inspection.

Publication Date

1-1-2016

Publication Title

Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

Number of Pages

3951-3953

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/BigData.2016.7841072

Socpus ID

85015198609 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85015198609

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