05-25-2025, 08:45 PM
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![[Image: th_lC6dhi7tDSfNhYT5o0pl4RaCEABc5Zlr.avif]](https://sanet.pics/storage-11/0525/avif/th_lC6dhi7tDSfNhYT5o0pl4RaCEABc5Zlr.avif)
English | June 25, 2025 | ISBN-10: 3031847733 | 310 pages| Epub PDF (True) | 31.62 MB
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This textbook is a concise introduction to medical imaging aimed at physical scientists and engineers, including budding biomedical engineers and biophysicists. The book introduces fundamental concepts related to how we "see" inside the body using medical imaging technology and what is needed to obtain useful images.
The text first considers the underlying physical principles by which information about tissues within the body can be extracted in the form of signals, examining the major principles used: transmission, reflection, emission, and resonance. It then explains how these signals can be converted into images, i.e., full 3D volumes, demonstrating how common methods of "reconstruction" are shared by some imaging techniques, despite relying on different physics to generate the "signals." Finally, it explores how medical imaging can be used to generate more than just pictures, but genuine quantitative measurements, and increasingly, measurements of physiological processes at every point within the 3D volume using methods such as tracers and advanced dynamic acquisitions.
English | June 25, 2025 | ISBN-10: 3031847733 | 310 pages| Epub PDF (True) | 31.62 MB
[/center]
This textbook is a concise introduction to medical imaging aimed at physical scientists and engineers, including budding biomedical engineers and biophysicists. The book introduces fundamental concepts related to how we "see" inside the body using medical imaging technology and what is needed to obtain useful images.
The text first considers the underlying physical principles by which information about tissues within the body can be extracted in the form of signals, examining the major principles used: transmission, reflection, emission, and resonance. It then explains how these signals can be converted into images, i.e., full 3D volumes, demonstrating how common methods of "reconstruction" are shared by some imaging techniques, despite relying on different physics to generate the "signals." Finally, it explores how medical imaging can be used to generate more than just pictures, but genuine quantitative measurements, and increasingly, measurements of physiological processes at every point within the 3D volume using methods such as tracers and advanced dynamic acquisitions.
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