Fast and Effective Retrieval of Medical Tumor Shapes

Investigates the problem of retrieving similar shapes from a large database; in particular, we focus on medical tumor shapes (finding tumors that are similar to a given pattern). We use a natural similarity function for shape matching, based on concepts from mathematical morphology, and we show how it can be lower-bounded by a set of shape features for safely pruning candidates, thus giving fast and correct output. These features can be organized in a spatial access method, leading to fast indexing for range queries and nearest-neighbor queries. In addition to the lower-bounding, our second contribution is the design of a fast algorithm for nearest-neighbor searching, achieving significant speedup while provably guaranteeing correctness. Our experiments demonstrate that roughly 90% of the candidates can be pruned using these techniques, resulting in up to 27 times better performance compared to sequential scanning.

[1]  M. Eden.  A Two-dimensional Growth Process , 1961 .

[2]  Keinosuke Fukunaga,et al.  A Branch and Bound Algorithm for Computing k-Nearest Neighbors , 1975, IEEE Transactions on Computers.

[3]  Jon Louis Bentley,et al.  Multidimensional binary search trees used for associative searching , 1975, CACM.

[4]  G. Matheron.  Random Sets and Integral Geometry , 1976 .

[5]  Theodosios Pavlidis,et al.  Algorithms for Shape Analysis of Contours and Waveforms , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  J. T. Robinson,et al.  The K-D-B-tree: a search structure for large multidimensional dynamic indexes , 1981, SIGMOD '81.

[7]  Irene Gargantini,et al.  An effective way to represent quadtrees , 1982, CACM.

[8]  Klaus H. Hinrichs,et al.  The Grid File: A Data Structure to Support Proximity Queries on Spatial Objects , 1983, International Workshop on Graph-Theoretic Concepts in Computer Science.

[9]  Antonin Guttman,et al.  R-trees: a dynamic index structure for spatial searching , 1984, SIGMOD '84.

[10]  Petros Maragos,et al.  Morphological skeleton representation and coding of binary images , 1984, IEEE Trans. Acoust. Speech Signal Process..

[11]  Jack A. Orenstein.  Spatial query processing in an object-oriented database system , 1986, SIGMOD '86.

[12]  Christos Faloutsos,et al.  The R+-Tree: A Dynamic Index for Multi-Dimensional Objects , 1987, VLDB.

[13]  Petros Maragos.  Morphology-based symbolic image modeling, multi-scale nonlinear smoothing, and pattern spectrum , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

[14]  Edward R. Dougherty,et al.  Morphological methods in image and signal processing , 1988 .

[15]  Anastasios N. Venetsanopoulos,et al.  Morphological skeleton representation and shape recognition , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[16]  Petros Maragos,et al.  Pattern Spectrum and Multiscale Shape Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Y. J. Tejwani,et al.  Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.

[18]  Christos Faloutsos,et al.  Fractals for secondary key retrieval , 1989, PODS.

[19]  David B. Lomet,et al.  The hB-tree: a multiattribute indexing method with good guaranteed performance , 1990, TODS.

[20]  Hans-Peter Kriegel,et al.  The R*-tree: an efficient and robust access method for points and rectangles , 1990, SIGMOD '90.

[21]  H. V. Jagadish.  Spatial search with polyhedra , 1990, [1990] Proceedings. Sixth International Conference on Data Engineering.

[22]  H. V. Jagadish,et al.  Linear clustering of objects with multiple attributes , 1990, SIGMOD '90.

[23]  A. Venetsanopoulos,et al.  The classification properties of the pecstrum and its use for pattern identification , 1991 .

[24]  H. V. Jagadish,et al.  A retrieval technique for similar shapes , 1991, SIGMOD '91.

[25]  Rajiv Mehrotra,et al.  Shape-similarity-based retrieval in image database systems , 1992, Electronic Imaging.

[26]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[27]  Anastasios N. Venetsanopoulos,et al.  Rotationally invariant pecstrum: A rotationally invariant object descriptor based on mathematical morphology , 1992 .

[28]  David B. Lomet,et al.  Foundations of Data Organization and Algorithms , 1993, Lecture Notes in Computer Science.

[29]  Ramesh C. Jain,et al.  A Visual Information Management System for the Interactive Retrieval of Faces , 1993, IEEE Trans. Knowl. Data Eng..

[30]  Rajiv Mehrotra,et al.  Feature-based retrieval of similar shapes , 1993, Proceedings of IEEE 9th International Conference on Data Engineering.

[31]  Harold G. Longbotham,et al.  Nonlinear indicators of malignancy , 1993, Electronic Imaging.

[32]  Christos Faloutsos,et al.  QBIC project: querying images by content, using color, texture, and shape , 1993, Electronic Imaging.

[33]  Daniel P. Huttenlocher,et al.  Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[34]  Clu-istos Foutsos,et al.  Fast subsequence matching in time-series databases , 1994, SIGMOD '94.

[35]  Malur K. Sundareshan,et al.  Adaptive image contrast enhancement based on human visual properties , 1994, IEEE Trans. Medical Imaging.

[36]  K. Wakimoto,et al.  Efficient and Effective Querying by Image Content , 1994 .

[37]  Nick Roussopoulos,et al.  Nearest neighbor queries , 1995, SIGMOD '95.

[38]  Simone Santini,et al.  Similarity Matching , 1995, ACCV.

[39]  Sergey Brin,et al.  Near Neighbor Search in Large Metric Spaces , 1995, VLDB.

[40]  Dina Q. Goldin,et al.  On Similarity Queries for Time-Series Data: Constraint Specification and Implementation , 1995, CP.

[41]  David Salesin,et al.  Fast multiresolution image querying , 1995, SIGGRAPH.

[42]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.

[43]  Venkat N. Gudivada.  Indexing for efficient spatial-similarity query processing in multimedia databases , 1996, Other Conferences.

[44]  Christos Faloutsos,et al.  Searching Multimedia Databases by Content , 1996, Advances in Database Systems.

[45]  Christos Faloutsos,et al.  Fast and effective similarity search in medical tumor databases using morphology , 1996, Other Conferences.

[46]  Christos Faloutsos,et al.  Fast Nearest Neighbor Search in Medical Image Databases , 1996, VLDB.

[47]  Christos Faloutsos,et al.  Compressed-domain video indexing techniques using DCT and motion vector information in MPEG video , 1997, Electronic Imaging.

[48]  Pavel Zezula,et al.  M-tree: An Efficient Access Method for Similarity Search in Metric Spaces , 1997, VLDB.

[49]  Hans-Peter Kriegel,et al.  Using extended feature objects for partial similarity retrieval , 1997, The VLDB Journal.

[50]  Hans-Peter Kriegel,et al.  Efficient User-Adaptable Similarity Search in Large Multimedia Databases , 1997, VLDB.

[51]  Z. Meral Özsoyoglu,et al.  Distance-based indexing for high-dimensional metric spaces , 1997, SIGMOD '97.

[52]  Alberto O. Mendelzon,et al.  Similarity-based queries for time series data , 1997, SIGMOD '97.

[53]  Hans-Peter Kriegel,et al.  Optimal multi-step k-nearest neighbor search , 1998, SIGMOD '98.

[54]  V. S. Subrahmanian.  Principles of Multimedia Database Systems , 1998 .