Medical Image Retrieval and Registration: Towards Computer Assisted Diagnostic Approach

Authors:
Mahmudur Rahman;Tongyuan Wang;Bipin C. Desai
Affiliations:
Concordia University, Canada;Concordia University, Canada;Concordia University, Canada
Venue:
IDEAS-DH '04 Proceedings of the IDEAS Workshop on Medical Information Systems: The Digital Hospital
Year:
2004

Citing 0
Cited 6

Grid computing to make viable the content based medical image retrieval through the image registration techniques

EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
A pixel-based scrambling scheme for digital medical images protection

Journal of Network and Computer Applications
Image fusion enhancement of deformable human structures using a two-stage warping-deformable strategy: A content-based image retrieval consideration

Information Systems Frontiers
Medical image security and EPR hiding using Shamir's secret sharing scheme

Journal of Systems and Software
MIGP: medical image grid platform based on HL7 grid middleware

ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Regularization in retrieval-driven classification of clustered microcalcifications for breast cancer

Journal of Biomedical Imaging - Special issue on Advances in Computer-Aided Detection and Diagnosis

Quantified Score

Hi-index	0.00

Visualization

Abstract

A large number of medical images in digital format are generated by hospitals and clinics every day. Such images constitute an important source of anatomical and functional information for diagnosis of diseases, medical research and education. These images include high-resolution 2-D or 3-D spatial and temporal data of various modalities (CT, MRI, X-ray, ultrasound etc.) require effective processing and organization techniques. Two of the most important techniques along this direction are; image retrieval and image registration. Image retrieval is the technique to find similar images from an image archive by their textual and visual contents and image registration is the establishment of correspondences between images or between image and physical space. Characteristics of medical images differ significantly from other generalpurpose images and hence require special treatment. This article presents a highlight of recent research in medical image retrieval and registration, main techniques and trends, key issues and limitations. We also point out some promising research directions and propose a system architecture for computer aided diagnosis, where both technologies can be integrated and complement each other.