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Titlebook: Quantification of Biophysical Parameters in Medical Imaging; Ingolf Sack,Tobias Schaeffter Book 20181st edition Springer International Pub

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21#
發(fā)表于 2025-3-25 06:47:15 | 只看該作者
22#
發(fā)表于 2025-3-25 09:37:23 | 只看該作者
Fundamentals of X-Ray Computed Tomography: Acquisition and ReconstructionClinically, CT is widely used in the acute setting but also for chronic conditions. High radiation dose and the potential for contrast-induced acute kidney injury are the two major challenges for CT. This chapter briefly summarizes the clinical use of CT and presents the physical and technical basis
23#
發(fā)表于 2025-3-25 13:35:48 | 只看該作者
24#
發(fā)表于 2025-3-25 17:42:27 | 只看該作者
25#
發(fā)表于 2025-3-25 22:31:42 | 只看該作者
Elucidates the relationships between tissue properties, imag.This book provides a selection of essential knowledge on the image-based quantification of biophysical parameters for the purpose of clinical diagnosis. The authors regard clinical imaging scanners as physical measurement systems capable o
26#
發(fā)表于 2025-3-26 04:07:14 | 只看該作者
27#
發(fā)表于 2025-3-26 06:54:40 | 只看該作者
Introduction: Medical Imaging for the Quantitative Measurement of Biophysical Parameters,s. This book focuses on imaging approaches to obtain quantitative information of fluid transport,soft tissue mechanics, and tissue structures; and gives examples on clinical applications that benefitfrom quantitative imaging.
28#
發(fā)表于 2025-3-26 11:02:03 | 只看該作者
Mathematical Methods in Medical Image Processing serve as an introduction to and a survey of mathematical methods for medical imaging problems with a specific focus on sparsity-based methods. The effectiveness of the presented methods is demonstrated with a small case study from sparse parallel magnetic resonance imaging.
29#
發(fā)表于 2025-3-26 13:52:52 | 只看該作者
Acceleration Strategies for Data Sampling in MRId how image information can be reconstructed from this raw data. Furthermore, approaches which reduce scan times by making data acquisition faster or by reducing the amount of required raw data will be discussed.
30#
發(fā)表于 2025-3-26 17:36:44 | 只看該作者
A Biphasic Poroelasticity Model for Soft Tissueystem of coupled equations. In this chapter, we will explain the poroelastic tissue model, present a poroelastic version of the wave equation, and complement this theoretical part with numerical simulations.
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