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Dept. of Computer Sc. » Pattern Recognition » Our Team » Balda, Michael » Projects » Quantitative Computed Tomography by Means of Spectral Detection
Dr.-Ing. Michael Balda M. Sc.Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-NürnbergImagine a witty quote here. Quantitative CTQuantitative Computed Tomography (QCT) generates quantitative values from datasets of reconstructed CT attenuation measurements. These values should only depend on the properties of the underlying materials. Data AcquisitionMonoenergetic radiation or multiple measurements at different system weightings are required for Quantitative CT. As common CT X-ray tubes usually produce polyenergetic radiation, the latter apporach is has to be chosen in medical CT. The system weighting consists of the spectrum of the incoming radiation and the detector responsivity, so changing one of these or both properties results in a different system weighting (see Img. 4). A strong separation between the system weightings is desired as transforms to quantitative values get more robust and therefore less vulnerable to noise. Different spectra can be produced by switching the tube voltage between readings (kVp-switching) or using two distinct measurement systems in one gantry (Dual-Source CT). The latter approach uses two X-ray tubes at different acceleration voltages possibly with different pre-filters. This way a strong separation between the spectra can be achieved and an individual tube current can be selected for each X-ray tube but the measurement is impaired by cross-scatter from the other measurement system. As Dual-Source CT also requires two detectors it is also possible to use different detector responsivities. Sandwich detectors (see Img. 5) can produce two or more measurements at different responsitivities in one reading by using a stack of scintillation detectors above each other. This has the advantage that the readings are prefectly aligned with respect to the gantry rotation angle, the dose usage, however, is inferior and the different weightings show a huge overlap. Unlike integrating detectors like he commonly used scintillators, Counting detectors are able to distinguish between incoming photon energies. Multiple photon counts different energy thresholds can be retrieved from single measurements. |