Imaging biomarkers, quantitative imaging, and bioengineering
| Autor: | J.M. Carot Sierra, C. Pérez Castillo, Angel Alberich-Bayarri, Gracián García-Martí, R. Sanz Requena, J.V. Manjón Herrera, L. Martí Bonmatí |
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| Rok vydání: | 2012 |
| Předmět: |
Engineering
Quantitative imaging Imaging biomarker Relation (database) business.industry Process (engineering) Articular cartilage Machine learning computer.software_genre Response to treatment General Earth and Planetary Sciences Biomarker (medicine) Artificial intelligence business computer General Environmental Science Biomedical engineering |
| Zdroj: | Radiología (English Edition). 54:269-278 |
| ISSN: | 2173-5107 |
| DOI: | 10.1016/j.rxeng.2012.05.001 |
| Popis: | Imaging biomarkers define objective characteristics extracted from medical images that are related to normal biological processes, diseases, or the response to treatment. To develop an imaging biomarker, it is necessary to carry out a series of steps to validate its relation with the reality studied and to check its clinical and technical validity. This process includes defining tests for the concepts and mechanisms; obtaining standardized and optimized anatomic, functional, and molecular images; analyzing the data with computer models; displaying data appropriately; obtaining the appropriate statistic measures; and conducting tests on the principle, efficacy, and effectiveness. In this article, we aim to explain the steps that must be established to enable biomarkers to be correctly applied, from their theoretical conception to their clinical implementation. To this end, we use the evaluation of angiogenesis in articular cartilage as an example. |
| Databáze: | OpenAIRE |
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