Titlebook: Advanced X-Ray Radiation Detection:; Medical Imaging and Krzysztof (Kris) Iniewski Book 2023 The Editor(s) (if applicable) and The Author(

外貌

978-3-030-92991-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

托運

adumbrate

Carlos A. Zarate Jr,Husseini K. Manjioor photophysical properties. These highlighting disadvantages limit the quality of X-ray detection, and further impede the commercial application of X-ray. Luckily, low-dimensional semiconductors (LD), such as metal halide perovskites, classical inorganic semiconductors, and metal-organic framework

淺灘

Carlos A. Zarate Jr,Husseini K. Manji were first developed and implemented, but also among X-ray imaging experts who make use of standard laboratory sources. While conventional X-ray imaging typically depicts the attenuation of an investigated sample, XPCI allows access to complementary information such as refraction and ultra-small-an

Mingle

Carlos A. Zarate,Husseini K. Manjial and industrial fields. The biggest advantage of ERPCD is to analyze X-ray energy information, and it has the potential to produce various quantitative images based on the energy-dependent analysis of X-ray attenuation in an object. In order to realize accurate energy-dependent analyses, we have t

lethargy

擁護

一回合

Rodrigo Escalona,Mauricio Tohencintillators. A coincidence time resolution around 100?ps can be realized using conventional scintillators. On the other hand, modulation of the optical properties of a material can be orders of magnitude faster to the femtosecond or sub-picosecond scale. In this chapter, we will review the recent d

ensemble

John L. Beyer MD,K. Ranga R. Krishnan MDr photon-counting detection. With technological advancement in X-ray photon-counting detection, the research and development in photon-counting spectral CT is gaining the momentum towards clinical applications. Compared to its energy-integration counterpart, the photon-counting spectral CT has the f

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Carlos A. Zarate Jr.,Husseini K. Manjiod of projection domain separation can make multispectral CT reconstruction less complex, easier to implement. But X-ray spectrum should be known. By blind separation of projection sequences with the different X-ray energy, though the ray spectrum is not known in advance, the narrow-spectrum project