4D space-time techniques: a medical imaging case study

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 gr...

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Hauptverfasser:	Tory, Melanie, Röber, Niklas, Möller, Torsten, Celler, Anna, Atkins, M. Stella
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	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
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Beschreibung
Zusammenfassung:	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.
DOI:	10.5555/601671.601754