Modeling, Validation and Verification of Cell-Scaffold Contact Measurements over Terabyte-sized 3D Image Collection

被引：0

作者：

Bajcsy, Peter ^{[1
]}

Yoon, Soweon ^{[1
]}

Simon, Mylene ^{[1
]}

Brady, Mary ^{[1
]}

Sriram, Ram ^{[1
]}

Hotaling, Nathan ^{[2
]}

Schaub, Nicholas ^{[2
]}

Simon, Carl G., Jr. ^{[2
]}

Szczypinski, Piotr M. ^{[3
]}

Florczyk, Stephen J. ^{[4
]}

机构：

[1] NIST, Informat Technol Lab, Gaithersburg, MD 20899 USA

[2] NIST, Mat Measurement Lab, Gaithersburg, MD 20899 USA

[3] Lodz Univ Technol, Insititute Elect, Lodz, Poland

[4] Univ Cent Florida, Dept Mat Sci & Engn, Orlando, FL 32816 USA

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2016年

关键词：

Big Data; 3D; Image Processing;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 (similar to 3GB just to load the input data) and data volume (>1TB), and (4) complexity of 3D visual inspection.

引用

页码：3951 / 3953

页数：3

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