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Sebastian T. Schindera

Researcher at University Hospital of Basel

Publications -  109
Citations -  4319

Sebastian T. Schindera is an academic researcher from University Hospital of Basel. The author has contributed to research in topics: Imaging phantom & Image noise. The author has an hindex of 33, co-authored 102 publications receiving 3963 citations. Previous affiliations of Sebastian T. Schindera include University Health Network & University of Tübingen.

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Low-tube-voltage, high-tube-current multidetector abdominal CT: improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm--initial clinical experience.

TL;DR: Compared with standard FBP reconstruction, an ASIR algorithm improves image quality and has the potential to decrease radiation dose at low-Tube-voltage, high-tube-current multidetector abdominal CT during the late hepatic arterial phase.
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Dual-energy multidetector CT: how does it work, what can it tell us, and when can we use it in abdominopelvic imaging?

TL;DR: Dual-energy CT provides information about how substances behave at different energies, the ability to generate virtual unenhanced datasets, and improved detection of iodine-containing substances on low-energy images, and may be used to detect substances such as iodine, calcium, and uric acid crystals.
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Hypervascular Liver Tumors: Low Tube Voltage, High Tube Current Multidetector CT during Late Hepatic Arterial Phase for Detection—Initial Clinical Experience

TL;DR: By substantially increasing the tumor-to-liver CNR, a low tube voltage, high tube current CT technique improves the conspicuity of malignant hypervascular liver tumors during the late hepatic arterial phase while significantly reducing patient radiation dose.
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Hypervascular Liver Tumors: Low Tube Voltage, High Tube Current Multi–Detector Row CT for Enhanced Detection—Phantom Study

TL;DR: The CNR of simulated hypervascular liver lesions can be substantially increased and the radiation dose reduced by using an 80-kVp, high tube current CT technique.
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Iterative Reconstruction Algorithm for CT: Can Radiation Dose Be Decreased While Low-Contrast Detectability Is Preserved?

TL;DR: As the radiation dose at CT decreases, the IR algorithm does not preserve the low-contrast detectability and image quality of computed tomography at different radiation dose levels reconstructed with iterative reconstruction (IR) and filtered back projection (FBP).