Implementation of a Semi-automated Post-processing System for Parametric MRI Mapping of Human Breast Cancer
| Autor: | E. Brian Welch, Robert Erich Lee, John C. Gore, Thomas E. Yankeelov, Jared G. Cobb, Tuhin K. Sinha |
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| Rok vydání: | 2008 |
| Předmět: |
Imaging informatics
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Breast Neoplasms Image processing computer.software_genre Article Software Data retrieval Digital image processing Humans Radiology Nuclear Medicine and imaging Computer vision Breast Diagnosis Computer-Assisted Radiological and Ultrasound Technology business.industry Digital imaging Magnetic Resonance Imaging Computer Science Applications Metadata Female Data mining Artificial intelligence User interface business computer |
| Zdroj: | Journal of Digital Imaging. 22:424-436 |
| ISSN: | 1618-727X 0897-1889 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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