Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Centroid neural network with chi square distance measure for texture classification
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Semantic Image Retrieval Using Region Based Inverted File
DICTA '09 Proceedings of the 2009 Digital Image Computing: Techniques and Applications
Regression forests for efficient anatomy detection and localization in CT studies
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Overview of the second workshop on medical content---based retrieval for clinical decision support
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
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Voluminous medical images are critical assets for clinical decision support systems. Retrieval based on the image content can help the clinician in mining images relevant to the current case from a large database. In this paper we address the problem of retrieving relevant sub-images with similar anatomical structures as that of the query image across modalities. The images in the database are automatically annotated with information regarding body region depicted in the scan and organs present, along with their localizing bounding box. For this purpose, initially a coarse localization of body regions is done in the 2D space taking contextual information into account. Following this, finer localization and verification of organs is done using a novel, computationally efficient fuzzy approximation method for constructing 3D texture signatures of organs of interest. They are then indexed using an inverted-file data structure which helps in ranked retrieval of relevant images. Apart from retrieving sub-images across modalities by image example, automatic annotation and efficient indexing allows query by text, limited only by the semantic vocabulary. The algorithm was tested on a database of non-contrast CT and T1-weighted MR volumes. Quantitative assessment of the proposed algorithm was evaluated using ground-truth database sanitized by medical experts.