NDLI: Model-Based Compression for 3D Medical Images Stored in the DICOM Format

Content Provider	Springer Nature Link
Author	Logeswaran, Rajasvaran Eswaran, Chikkannan
Copyright Year	2006
Abstract	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.
Starting Page	133
Ending Page	138
Page Count	6
File Format	PDF
ISSN	01485598
Journal	Journal of Medical Systems
Volume Number	30
Issue Number	2
e-ISSN	1573689X
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	2006-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Medical images Compression 3D modeling DICOM files Archive system Health Informatics & Health Administration Statistics for Life Sciences, Medicine, Health Sciences
Content Type	Text
Resource Type	Article
Subject	Health Information Management Information Systems Health Informatics

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