3D Image Reconstruction for CT and PET: A Practical Guide with Python — 1st Edition (2020)
$29.97
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Description
3D Image Reconstruction for CT and PET: A Practical Guide with Python
📘 1st Edition · 2020
Connect tomographic reconstruction theory with practical computational methods in CT and PET. This focused reference explains the mathematical and physical ideas behind reconstructing images from projection data, with Python-oriented examples throughout its learning structure.
📚 Inside this eBook
- Projection data, the Radon transform, and sinograms
- Parallel-beam, fan-beam, and cone-beam CT geometry
- Filtered backprojection and the Feldkamp-Davis-Kress method
- Iterative methods including ART, SIRT, MLEM, and OSEM
- Phantom data, forward projection, and reconstruction experiments
🔎 Why add it to your reading list?
The progression from preliminary concepts to analytical and iterative algorithms supports a practical study plan. Readers can examine how acquisition geometry and computational choices influence reconstructed images.
👩⚕️ Who is it for?
Medical physics students, imaging researchers, engineers, and readers with a scientific programming background.
📖 Book details
- Authors / editors: Daniele Panetta and Niccolò Camarlinghi
- Edition: 1st Edition
- Year of supplied edition: 2020
- Publisher: CRC Press
- ISBN: 9780429270239
- Format: English-language PDF eBook
This listing supplies the PDF book. Separate software downloads or companion repositories are not included in the product package.
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