Title
Implementation of a Semi-automated Post-processing System for Parametric MRI Mapping of Human Breast Cancer.
Abstract
Magnetic resonance imaging (MRI) investigations of breast cancer incorporate computationally intense techniques to develop parametric maps of pathophysiological tissue characteristics. Common approaches employ, for example, quantitative measurements of T 1, the apparent diffusion coefficient, and kinetic modeling based on dynamic contrast-enhanced MRI (DCE-MRI). In this paper, an integrated medical image post-processing and archive system (MIPAS) is presented. MIPAS demonstrates how image post-processing and user interface programs, written in the interactive data language (IDL) programming language with data storage provided by a Microsoft Access database, and the file system can reduce turnaround time for creating MRI parametric maps and provide additional organization for clinical trials. The results of developing the MIPAS are discussed including potential limitations of the use of IDL for the application framework and how the MIPAS design supports extension to other programming languages and imaging modalities. We also show that network storage of images and metadata has a significant (p < 0.05) increase in data retrieval time compared to collocated storage. The system shows promise for becoming both a robust research picture archival and communications system working with the standard hospital PACS and an image post-processing environment that extends to other medical image modalities.
Year
DOI
Venue
2009
10.1007/s10278-008-9123-2
J. Digital Imaging
Keywords
Field
DocType
Magnetic resonance imaging,digital image management,digital image processing,digital imaging,Digital Imaging and Communications in Medicine (DICOM),digital libraries,image analysis,image database,image processing,imaging informatics,MR imaging,PACS,workflow,workflow reengineering,user–computer interface
Metadata,Computer vision,Data retrieval,Computer science,Image processing,Imaging informatics,Software,Digital imaging,Artificial intelligence,User interface,Digital image processing
Journal
Volume
Issue
ISSN
22
4
1618-727X
Citations 
PageRank 
References 
0
0.34
6
Authors
6
Name
Order
Citations
PageRank
Robert E. Lee100.34
E. Brian Welch24516.66
Jared G. Cobb300.34
Tuhin Sinha400.34
John C Gore561641.36
Thomas E. Yankeelov6207.14