A process of obtaining a 3D volumetric image composed of multiple 2D images, which are computer reconstructed using a mathematical “back-projection” operation to retrieve pixel data from projected image signals through a patient, detected via multichannel detector arrays around the patient.
Published in Chapter:
3D and 4D Medical Image Registration Combined with Image Segmentation and Visualization
Guang Li (National Institutes of Health, USA), Deborah Citrin (National Cancer Institute, USA), Robert W. Miller (National Cancer Institute, USA), Kevin Camphausen (National Cancer Institute, USA), Boris Mueller (Memorial Sloan-Kettering Cancer Center, USA), Borys Mychalczak (Memorial Sloan-Kettering Cancer Center, USA), and Yulin Song (Memorial Sloan-Kettering Cancer Center, USA)
Copyright: © 2008
|Pages: 9
DOI: 10.4018/978-1-59904-889-5.ch001
Abstract
Image registration, segmentation, and visualization are three major components of medical image processing. Three-dimensional (3D) digital medical images are three dimensionally reconstructed, often with minor artifacts, and with limited spatial resolution and gray scale, unlike common digital pictures. Because of these limitations, image filtering is often performed before the images are viewed and further processed (Behrenbruch, Petroudi, Bond, et al., 2004). Different 3D imaging modalities usually provide complementary medical information about patient anatomy or physiology. Four-dimensional (4D) medical imaging is an emerging technology that aims to represent patient motions over time. Image registration has become increasingly important in combining these 3D/4D images and providing comprehensive patient information for radiological diagnosis and treatment.