[Parametric biomedical imaging--what defines the quality of quantitative radiological approaches?]
| Autor: | C-C, Glüer, R, Barkmann, H K, Hahn, S, Majumdar, F, Eckstein, T N, Nickelsen, H, Bolte, V, Dicken, M, Heller |
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| Jazyk: | němčina |
| Rok vydání: | 2006 |
| Předmět: |
Diagnostic Imaging
Tomography Emission-Computed Single-Photon Time Factors Finite Element Analysis Contrast Media Prognosis Magnetic Resonance Imaging Sensitivity and Specificity Tumor Burden Imaging Three-Dimensional Reference Values Data Interpretation Statistical Neoplasms Positron-Emission Tomography Osteoarthritis Practice Guidelines as Topic Disease Progression Image Processing Computer-Assisted Humans Osteoporosis Diagnostic Errors Tomography X-Ray Computed Algorithms Follow-Up Studies |
| Zdroj: | RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin. 178(12) |
| ISSN: | 1438-9029 |
| Popis: | Quantitative parametric imaging approaches provide new perspectives for radiological imaging. These include quantitative 2D, 3D, and 4D visualization options along with the parametric depiction of biological tissue properties and tissue function. This allows the interpretation of radiological data from a biochemical, biomechanical, or physiological perspective. Quantification permits the detection of small changes that are not yet visually apparent, thus allowing application in early disease diagnosis and monitoring therapy with enhanced sensitivity. This review outlines the potential of quantitative parametric imaging methods and demonstrates this on the basis of a few exemplary applications. One field of particular interest, the use of these methods for investigational new drug application studies, is presented. Assessment criteria for judging the quality of quantitative imaging approaches are discussed in the context of the potential and the limitations of these methods. While quantitative parametric imaging methods do not replace but rather supplement established visual interpretation methods in radiology, they do open up new perspectives for diagnosis and prognosis and in particular for monitoring disease progression and therapy. |
| Databáze: | OpenAIRE |
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