Unlock the secrets of medical image reconstruction with “Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning.” This comprehensive textbook, perfect for graduate students and engineers in electrical and biomedical fields, delves into the core concepts of tomography across X-ray CT, PET, SPECT, and MRI. Explore a spectrum of reconstruction techniques, from foundational analytical methods to advanced iterative approaches. Discover the transformative power of machine learning in modern medical imaging with a dedicated chapter on its applications. Designed with a clear, didactical structure, this essential resource balances theoretical methodologies with practical applications, making complex topics accessible and providing a solid foundation for understanding how measurements become vital medical images.