학술논문

Harmonization of methods to facilitate reproducibility in medical data processing: Applications to diffusion tensor magnetic resonance imaging
Document Type
Conference
Source
2016 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2016 IEEE International Conference on. :3992-3994 Dec, 2016
Subject
Aerospace
Bioengineering
Computing and Processing
General Topics for Engineers
Geoscience
Signal Processing and Analysis
Diffusion tensor imaging
Software
Big data
Biomedical imaging
Pipelines
Image resolution
medical big data
method sharing
diffusion tensor MRI
reproducibility
workflow automation
Language
Abstract
Data and methodology sharing is essential for progression of scientific research. Several research groups have built tools for medical big data (MBD) processing applicable to Diffusion Tensor MRI (DTI) processing pipelines. In this paper, we propose a framework enabling methodology sharing (i.e. harmonization) to facilitate the reproducibility in DTI processing.