3D and 4D medical image registration combined with image segmentation and visualization Book Section


Authors: Li, G.; Citrin, D.; Miller, R. W.; Camphausen, K.; Mueller, B.; Mychalczak, B.; Song, Y.
Editor: Information Resources Management Association
Article/Chapter Title: 3D and 4D medical image registration combined with image segmentation and visualization
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. © 2025 Elsevier B.V., All rights reserved.
Keywords: diagnosis; patient treatment; visualization; image registration; image segmentation; three dimensional computer graphics; gray scale; spatial resolution; medical image processing; images segmentations; images registration; medical image registration; digital medical images; digital picture; four dimensional medical image; image visualization; medical images processing
Book Title: Clinical Technologies: Concepts, Methodologies, Tools and Applications
Volume: 1
ISBN: 978-1-60960-561-2
Publisher: IGI Global  
Date Published: 2011-01-01
Start Page: 885
End Page: 894
Language: English
DOI: 10.4018/978-1-60960-561-2.ch317
PROVIDER: scopus
DOI/URL:
Notes: Book Chapter: 13.7 -- Source: Scopus
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  1. Boris A Mueller
    106 Mueller
  2. Yulin Song
    117 Song