(14) In particular, if L=l then (14) gives tjQXi+l+lito-triQHro-rjWXi+toBo^, (15) that, accounting tQ=l, r0=l, r;=0, tj=l, coincides with (2). It must be added that easy and
regular way was found to construct the equivalent circuit representation of MLR ...
Intelligent processing of multi-dimensional images has become crucial in conventional or computer-aided interpretation for radiological and diagnostic applications. This focused text provides the in-depth knowledge of the modalities used to acquire images for medical image reconstruction and processing and enables medical professionals to effectively select and develop the most appropriate image reconstruction and processing methods for accurate analysis and interpretation. This thorough introduction to the acquisition of images and the intelligent interpretation and analysis of biomedical images discusses such essentials as: The interaction of the basic unit of imaging (such as protongs in MRI, or, x-ray photons in X-ray CT) in a biological environment Formation of a quantifiable signal representing the biological information etection and acquisition of the signal Appropriate image reconstruction Featuring skill-building MATLAB exercises and end-of-chapter references, this text delivers an essential, top-to-bottom examination of medical imaging and helps you master the complexities of today's radiological and diagnostic applications. To view the MATLAB exercises, visit: ftp://ftp.wiley.com/public/sci_tech_med/medical_image/
In this benchmark text, author Atam Dhawan takes a unique, all-inclusive approach to medical imaging–one that weaves together medical physics, imaging, image processing, and advanced image analysis methods.
