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MIA - A free and open source software for gray scale medical image analysis

Wollny, Gert, Kellman, Peter, Ledesma-Carbayo, Maria-Jesus, Skinner, Matthew M., Hublin, Jean-Jaques, Hierl, Thomas (2013) MIA - A free and open source software for gray scale medical image analysis. Source code for biology and medicine, 8 (20). pp. 1-20. ISSN 1751-0473. (doi:10.1186/1751-0473-8-20) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:48523)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1186/1751-0473-8-20

Abstract

Background

The proposed framework, MIA, provides a combination of command line tools, plug-ins, and libraries that make it possible to run image processing tasks interactively in a command shell and to prototype by using the according shell scripting language. Since the hard disk becomes the temporal storage memory management is usually a non-issue in the prototyping phase. By using string-based descriptions for filters, optimizers, and the likes, the transition from shell scripts to full fledged programs implemented in C++ is also made easy. In addition, its design based on atomic plug-ins and single tasks command line tools makes it easy to extend MIA, usually without the requirement to touch or recompile existing code.

Conclusion

In this article, we describe the general design of MIA, a general purpouse framework for gray scale image processing. We demonstrated the applicability of the software with example applications from three different research scenarios, namely motion compensation in myocardial perfusion imaging, the processing of high resolution image data that arises in virtual anthropology, and retrospective analysis of treatment outcome in orthognathic surgery. With MIA prototyping algorithms by using shell scripts that combine small, single-task command line tools is a viable alternative to the use of high level languages, an approach that is especially useful when large data sets need to be processed.

Item Type: Article
DOI/Identification number: 10.1186/1751-0473-8-20
Subjects: Q Science
Divisions: Faculties > Social Sciences > School of Anthropology and Conservation > Biological Anthropology
Depositing User: Matthew Skinner
Date Deposited: 15 May 2015 10:54 UTC
Last Modified: 01 Aug 2019 10:38 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48523 (The current URI for this page, for reference purposes)
Skinner, Matthew M.: https://orcid.org/0000-0001-8321-3543
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