Scale and the differential structure of images
Image and Vision Computing - Special issue: information processing in medical imaging 1991
The data compression book (2nd ed.)
The data compression book (2nd ed.)
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
The Use of Active Shape Models for Locating Structures in Medical Images
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Front-End Vision and Multi-Scale Image Analysis: Multi-scale Computer Vision Theory and Applications, written in Mathematica
Improved Biliary Detection and Diagnosis through Intelligent Machine Analysis
Computer Methods and Programs in Biomedicine
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Many medical examinations involve acquisition of a large series of slice images for 3D reconstruction of the organ of interest. With the paperless hospital concept and telemedicine, there is very heavy utilization of limited electronic storage and transmission bandwidth. This paper proposes model-based compression to reduce the load on such resources, as well as aid diagnosis through the 3D reconstruction of the structures of interest, for images acquired by various modalities, such as MRI, Ultrasound, CT, PET etc. and stored in the DICOM file format. An example implementation for the biliary track in MRCP images is illustrated in the paper. Significant compression gains may be derived from the proposed method, and a suitable mixture of the models and raw images would enhance the patient medical history archives as the models may be stored in the DICOM file format used in most medical archiving systems.