Medical Imaging Systems Techniques and Applications: Diagnosis Optimization Techniques

The field of diagnosis optimization has been revolutionized by new techniques in powerful computations, image processing, and modalities such as computer-aided tomography (CAT) and magnetic resonance. This series studies the marriage of computer capabilities, and medical imaging, which exemplifies a significant manifestation of relatively recent, valuable technologies. Included are the in-depth treatments to fundamental problems in image restoration: blurring caused by the point-spread function and photon limited noise; statistical and structural techniques to delineate tumours, tissue types or organ systems; techniques to broaden the application of X-ray CAT in low-radiation dosage situations; current international reports on image restoration results and fundamental problems; accurately reconstructing images of the boundaries of organs involving both geometric and signal processing techniques; and the use of the mathematical models, reconstruction algorithms, and their implementations in computers to reconstruct CAT images. This book reveals the effectiveness and significance of the techniques available, and, with further development, the essential role they will play in the future.