4D space-time techniques a medical imaging case study

• Published in: Proceedings of the conference on Visualization '01 pp. 473 - 476
• Main Authors: Tory, Melanie, Röber, Niklas, Möller, Torsten, Celler, Anna, Atkins, M. Stella
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 21-10-2001
• Series: ACM Conferences
• Subjects: Applied computing > Life and medical sciences > Computational biology; Applied computing > Life and medical sciences > Genetics; Applied computing > Life and medical sciences > Systems biology; Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems; Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems > Video segmentation; Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks > Scene understanding; Computing methodologies > Artificial intelligence > Computer vision > Image and video acquisition > Epipolar geometry; dynamic SPECT; isosurface; direct volume rendering; glyph; J3 health; MRI; 4D visualization; I.3.3 animations; I.3.7 display algorithms
• ISBN: 078037200X; 9780780372009
• DOI: 10.5555/601671.601754

We present the problem of visualizing time-varying medical data. Two medical imaging modalities are compared --- MRI and dynamic SPECT. For each modality, we examine several derived scalar and vector quantities such as the change in intensity over time, the spatial gradient, and the change of the gradient over time. We compare several methods for presenting the data, including isosurfaces, direct volume rendering, and vector visualization using glyphs. These techniques may provide more information and context than methods currently used in practice; thus it is easier to discover temporal changes and abnormalities in a data set.