Abstract
Digital image analysis supports diagnostic activities by highlighting geometric and temporal features of physiological phenomena that are not perceivable to the human observation. These features can be exploited to build up symbolic representations of visual data in medical reports and to index them within large databases. The comparison of such representations against descriptive queries capturing the properties of significant physiological phenomena supports new diagnostic approaches through the systematic analysis of database reports. A prototype system is presented which supports the construction of symbolic representations and their comparison against descriptive queries capturing geometric and temporal properties of time-varying 2D shapes deriving from dynamic cardiac analyses. The system is embedded within a visual shell allowing physicians to compose content-oriented queries through iconic interaction.
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References
J.F. Allen, ”Maintaining Knowledge about Temporal Intervals,” in Comunications of the ACM, Vol.26, n.11, Nov. 1983.
M.Baroni,G.Barletta, ”Digital Curvature Estimation for Left Ventricular Shape Analysis,” Image and Vision Computing, 1992.
E.Binaghi, I.Gagliardi, R.Schettini, ”Indexing and Fuzzy Logic-Based Retrieval of Color Images,” in IFIP Trans. Visual Database Systems II, Knuth, Wegner (Eds.), Elsevier Pub. 1992.
S.K.Chang, Q.Y.Shi, C.W.Yan, ”Iconic Indexing by 2-D Strings”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.9, No.3, July 1987.
G.Congiu, ”Rappresentazione e Ricerca Visuale di Sequenze di Immagini Cardiologiche (In Italian),” Doctoral Thesis, Univ. Florence, Italy, July, 1994.
A.Del Bimbo, E.Vicario, D.Zingoni, ”Symbolic Description and Visual querying of Image Sequences Using Spatio-Temporal Logic,” accepted for publication on IEEE Transactions on Knowledge and Data Engineering.
K.Hirata, T.Kato, ”Query by Visual Example: Content-Based Image Retrieval,” In Advances in Database Technology — EDBT'92, A.Pirotte, C.Delobel, G.Gottlob (Eds.), Lecture Notes on Computer Science, Vol.580, Springer Verlag, Berlin, 1992.
M.Leyton, “Shape and Casual History,” in Visual Form, Plenum Press, 1982.
S.Marshall, “Review of Shape Coding Techniques,” in Image and Vision Computing, Nov.1989.
A.Nagasaka, Y.Tanaka, ”Automatic Video Indexing and Full Video Search for Object Appearances,” in IFIP Trans. Visual Database Sys. II, Knuth, Wegner (Eds.), Elsevier Pub. 1992.
S.E.Palmer, ”The Psychology of Perceptual Organization,: a Transformational Approach,” in Human and Machine Vision, Academic Press, New York, 1983.
W.Richards, D.D.Hoffman, ”Codon Constraints on Closed 2D Shapes,” in Computer Vision II, Natural Computation Group, M.I.T., Cambridge, 1984.
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© 1995 Springer-Verlag Berlin Heidelberg
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Baroni, M., Congiu, G., Del Bimbo, A., Evangelisti, A., Vicario, E. (1995). Symbolic indexing of cardiological sequences through dynamic curve representations. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_323
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DOI: https://doi.org/10.1007/3-540-60298-4_323
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