Methoden vergleichen
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| CT Iterative Reconstruction× | Quantitative Susceptibility Mapping× | |
|---|---|---|
| Fachgebiet | Medizinische Bildgebung | Medizinische Bildgebung |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1974 | 2015 |
| Urheber≠ | Richard Gordon | Yong Wang |
| Typ≠ | Algorithm for tomographic image reconstruction | Quantitative MRI contrast mechanism |
| Wegweisende Quelle≠ | Gordon, R., Bender, R., Herman, G. T. (1974). Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography. Journal of Theoretical Biology, 29(3), 471-481. link ↗ | Wang, Y., Liu, T. (2015). Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker. Magnetic Resonance in Medicine, 73(1), 82-101. DOI ↗ |
| Aliasnamen≠ | MBIR, ASIR, IR-CT, statistical reconstruction | QSM, susceptibility-weighted imaging |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | CT Iterative Reconstruction (IR) is a computational technique that reconstructs tomographic images from raw X-ray projection data by iteratively refining an estimate of tissue attenuation until it matches the measured projections. Developed from algebraic reconstruction techniques pioneered by Gordon in 1974, iterative reconstruction has revolutionized clinical CT by enabling high-quality images at reduced radiation dose. Variants such as Adaptive Statistical Iterative Reconstruction (ASIR) and Model-Based Iterative Reconstruction (MBIR) are now standard on modern CT scanners. | Quantitative Susceptibility Mapping (QSM) is a post-processing technique that converts MRI phase data into quantitative susceptibility values, enabling direct visualization and measurement of tissue magnetic properties. Developed by Wang, Liu, and colleagues, QSM transforms phase shifts caused by differences in magnetic susceptibility between tissues into tissue-specific biomarkers. It has revolutionized the sensitivity of MRI to iron, calcium, and other paramagnetic and diamagnetic substances, making it valuable in neurodegenerative disease diagnosis and tissue characterization. |
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