Pii: S0895-6111(00)00061-6

Pii: S0895-6111(00)00059-8

This paper is written for physicians and presents basic principles of image reconstruction in nuclear medicine. Both analytical and iterative methods are discussed without rigorous mathematics. q 2001 Elsevier Science Ltd. All rights reserved.

Pii: S0895-4356(00)00276-6

Pii: S0895-6111(00)00034-3

Three-dimensional (3D) computer reconstruction is an ideal tool for evaluating the centralized pathology of mammalian spinal cord injury (SCI) where multiple anatomical features are embedded within each other. Here, we evaluate three different reconstruction algorithms to three-dimensionally visualize SCIs. We also show for the first time, that determination of the volume and surface area of pa...

Pii: S0895-6111(00)00060-4

Iterative reconstruction algorithms produce accurate images without streak artifacts as in ®ltered backprojection. They allow improved incorporation of important corrections for image degrading effects, such as attenuation, scatter and depth-dependent resolution. Only some corrections, which are important for accurate reconstruction in positron emission tomography and single photon emission com...

Pii: S0895-6111(98)00051-2

We present a knowledge-based approach to segmentation and analysis of the lung boundaries in chest X-rays. Image edges are matched to an anatomical model of the lung boundary using parametric features. A modular system architecture was developed which incorporates the model, image processing routines, an inference engine and a blackboard. Edges associated with the lung boundary are automaticall...