Abstract
For applications of volume visualization in medicine, it is important to assure that the 3D images show the true anatomical situation, or at least to know about their limitations. In this paper, various methods for evaluation of image quality are reviewed. They are classified based on the fundamental terms of intelligibility and fidelity, and discussed with respect to the question what clues they provide on how to choose parameters, or improve imaging and visualization procedures.
Cite
CITATION STYLE
Pommert, A., & Höhne, K. H. (2002). Evaluation of image quality in medical volume visualization: The state of the art. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2489, pp. 598–605). Springer Verlag. https://doi.org/10.1007/3-540-45787-9_75
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