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Texture based medical image indexing and retrieval

Tristan Glatard, Johan Montagnat, Isabelle E. Magnin
2004 Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval - MIR '04  
We analyze medical image properties and we evaluate Gabor-filter based features extraction for medical images indexing and classification.  ...  Although digital images indexing and querying techniques have extensively been studied for the last years, few systems are dedicated to medical images today while the need for content-based analysis and  ...  APPLICATION TO CARDIAC IMAGING 3.1 Magnetic Resonance Images of the heart In this section we demonstrate the relevance of a texture based indexing and retrieval system for medical images with a database  ... 
doi:10.1145/1026711.1026734 dblp:conf/mir/GlatardMM04 fatcat:npmapt6kgjeh5joijp47sykgh4

Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling

A.F. Frangi, D. Rueckert, J.A. Schnabel, W.J. Niessen
2002 IEEE Transactions on Medical Imaging  
Index Terms-Atlas, cardiac models, model-based image analysis, nonrigid registration, statistical shape models.  ...  This application demonstrates the robustness and accuracy of the method in the presence of large shape variability and multiple objects.  ...  Manning, codirector of the Cardiac MR Center at the Beth Israel Deaconess Medical Center in Boston, MA, for kindly providing them with the functional cardiac MR data.  ... 
doi:10.1109/tmi.2002.804426 pmid:12564883 fatcat:spq3fcg25rfgtozxga3vfpy7ju

CONTENT BASED IMAGE RETRIEVAL TECHNIQUES FOR RETRIEVAL OF MEDICAL IMAGES FROM LARGE MEDICAL DATASETS – A SURVEY

Abirami N
2019 International Journal of Advanced Research in Computer Science  
Content Based Image Retrieval system uses features of query image with that of an existing database image set for retrieval using precision and recall ratio.  ...  This paper presents the literature survey on recent medical image retrieval techniques.  ...  IRMA The Image Retrieval for Medical applications (IRMA), aims to provide visually rich image management through CBIR techniques applied to medical images using intensity distribution and texture measures  ... 
doi:10.26483/ijarcs.v10i1.6363 fatcat:sf6a7vab65bctldslqma3tcbvm

Medical Image Retrieval Using Transforms

Mannivannan VASUKI, Swarnambiga AYYACHAMY
2013 Applied Medical Informatics  
In this article various distance methods were used and then they are compared for effective medical image retrieval. A transform based approach is followed for effective retrieval.  ...  The purpose of this study is to access the stability of transformation methods for medical image analysis. The reason for image retrieval is due to the increase in acquisition of images.  ...  Acknowledgements The authors like to thank the editors and reviewers for their useful comments in improving the quality of the paper.  ... 
doaj:fcdc92d7865c46118b82ffbff5dc2f00 fatcat:ikhj24tysrasfjtuc2hrzt7d2i

Gabor barcodes for medical image retrieval

Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali
2016 2016 IEEE International Conference on Image Processing (ICIP)  
Gabor transform is also a powerful transform to extract texture-based information.  ...  This has significantly heightened the need for automated annotation of the images on one side, and fast and memory-efficient content-based image retrieval systems on the other side.  ...  REFERENCES [1] Glatard, T. and Montagnat, J. and Magnin, I.E., Texture based medical image indexing and retrieval: application to cardiac imaging.  ... 
doi:10.1109/icip.2016.7532807 dblp:conf/icip/NouredaneshTB16 fatcat:ivg3jf2ju5bx5itbthjbxsfsz4

Image Retrieval Based on LBP Pyramidal Multiresolution using Reversible Watermarking [article]

H.Ouahi and K.Afdel and M.Machkour
2015 arXiv   pre-print
Our contribution is to define a relevant descriptor to retrieve images based on multiresolution analysis of texture using Local Binary Pattern LBP.  ...  These images are stored in multimedia databases accompanied by doctor s prescriptions and other information related to patients.Search for medical images has become for clinical applications an essential  ...  For medical images in general and mammography images especially, texture and color analysis lead to relevant and robust descriptors.  ... 
arXiv:1509.06035v1 fatcat:tetlt7wjubb7tho3qs2bzf2zqm

Medical Image Databases: A Content-based Retrieval Approach

H. D. Tagare, C. C. Jaffe, J. Duncan
1997 JAMIA Journal of the American Medical Informatics Association  
This paper explores the differentiating characteristics of text versus images and their impact on design of a medical image database intended to allow content-based indexing and retrieval.  ...  The difference can be attributed to four characteristics: (1) the semantics of medical knowledge extractable from images is imprecise; (2) image information contains form and spatial data, which are not  ...  But numerical concepts applicable to content-based image indexing-methods not dependent on text-based key words or other alphanumeric identifiers-are often less intuitive.  ... 
doi:10.1136/jamia.1997.0040184 pmid:9147338 pmcid:PMC61234 fatcat:m5zva4oojzfdvd4v2nbtqkfjue

An Efficient Model for Content based Image Retrieval

M. Karthikeyan, P. Aruna
2012 International Journal of Computer Applications  
Hence, there is a need for Content Based Image retrieval application which makes the retrieval process very efficient.  ...  information has resulted in large volume of images that need to be properly indexed for retrieval in future.  ...  Tristan Glatard and John Montagnat [1] proposed a texture based medical image indexing and retrieval, which is based on the application to cardiac images.  ... 
doi:10.5120/5665-7698 fatcat:qthds4u64nfyrg6sgekn6remta

Ontology of Gaps in Content-Based Image Retrieval

Thomas M. Deserno, Sameer Antani, Rodney Long
2008 Journal of digital imaging  
Content-based image retrieval (CBIR) is a promising technology to enrich the core functionality of picture archiving and communication systems (PACS).  ...  KEY WORDS: Content-based image retrieval (CBIR), pattern recognition, picture archiving and communication systems (PACS), information system integration, data mining, information retrieval, semantic gap  ...  System Characteristics: I/O Content-based image retrieval in medical applications may also be combined with a text-based search in the patient health record.  ... 
doi:10.1007/s10278-007-9092-x pmid:18239964 pmcid:PMC3043678 fatcat:gcqzg3mbhrhkbobmh3ttqq4mta

Content Based Image Indexing and Retrieval [article]

Avinash N Bhute, B. B. Meshram
2014 arXiv   pre-print
In this paper, we present the efficient content based image retrieval systems which employ the color, texture and shape information of images to facilitate the retrieval process.  ...  For facilitated the speedy retrieval we are implements the antipole-tree algorithm for indexing the images.  ...  Figure 4 . 4 Input image for Haar wavelet and its resultIn Texture Based Medical Image Indexing and Retrieval [By TristanGlatard, Johan Montagnat, Isabelle E.  ... 
arXiv:1401.1742v1 fatcat:vgliq5lmzjhihjaoywofo3erzu

Towards knowledge-based retrieval of medical images. The role of semantic indexing, image content representation and knowledge-based retrieval

H J Lowe, I Antipov, W Hersh, C A Smith
1998 Proceedings. AMIA Symposium  
Within the Image Engine multimedia medical record system project at the University of Pittsburgh we are evolving an approach to representation and retrieval of medical images which combines semantic indexing  ...  New representational and retrieval models for clinical images will be required to address this issue.  ...  Antipov's and Dr. Hersh's work on the Image Engine project is supported by National Library of Medicine National Telemedicine Initiative Contract number NO1-LM-4-3507. Ms.  ... 
pmid:9929345 pmcid:PMC2232296 fatcat:6vftit4monawva4cit2c7g473a

Content-Based Image Retrieval in Radiology: Current Status and Future Directions

Ceyhun Burak Akgül, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar
2010 Journal of digital imaging  
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in assessing medical images by identifying similar images in large archives that could assist with decision support.  ...  KEY WORDS: Content-based image retrieval, imaging informatics, information storage and retrieval, digital image management, decision support From the Electrical and Electronics Engineering Department,  ...  ACKNOWLEDGMENTS This work has partly been supported by NIH CA72023 and TÜBİTAK KARİYER-DRESS (104E035).  ... 
doi:10.1007/s10278-010-9290-9 pmid:20376525 pmcid:PMC3056970 fatcat:54efjsvb2vdxhecunbmv7pazei

Soft Computing Based Retrieval System For Medical Applications

Pardeep Singh, Sanjay Sharma
2010 Zenodo  
With increasing data in medical databases, medical data retrieval is growing in popularity.  ...  These approaches pave the way for new and interesting avenues of research in medical imaging and represent an important challenge for researchers.  ...  , as compared to traditional techniques. and their applications to medical imaging including object representation, image segmentation, classification and feature extraction.  ... 
doi:10.5281/zenodo.1079811 fatcat:z7s6iyxuorgsbbiyxmt4gfywia

Large-scale retrieval for medical image analytics: A comprehensive review

Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang
2018 Medical Image Analysis  
On the basis of existing work, we introduce the evaluation protocols and multiple applications of large-scale medical image retrieval, with a variety of exploratory and diagnostic scenarios.  ...  In this paper, we review state-of-the-art approaches for large-scale medical image analysis, which are mainly based on recent advances in computer vision, machine learning and information retrieval.  ...  size of the nuclei, the texture features based on gray-level pixels, and the distribution of of medical images.  ... 
doi:10.1016/j.media.2017.09.007 pmid:29031831 fatcat:s6jnxawnongufgdngpjeifv3vm

A review of content-based image retrieval systems in medical applications—clinical benefits and future directions

Henning Müller, Nicolas Michoux, David Bandon, Antoine Geissbuhler
2004 International Journal of Medical Informatics  
Section 2 explains the propositions for the use of image retrieval in medical practice and the various approaches. Example systems and application areas are  ...  KEYWORDS Medical image retrieval; Content-based search; Visual information retrieval; PACS Summary Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR) has been one  ...  Acknowledgements The authors would like to thank the reviewers for their comments that helped to improve the quality of this paper.  ... 
doi:10.1016/j.ijmedinf.2003.11.024 pmid:15036075 fatcat:qhqlj2yeabd4deqduqlnrixptu
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