1.
J Digit Imaging
; 23(5): 517-8, 2010 Oct.
Article
in English
| MEDLINE
| ID: mdl-20571849
Subject(s)
Diagnostic Imaging/instrumentation , Diagnostic Imaging/standards , Image Processing, Computer-Assisted/standards , Signal Processing, Computer-Assisted/instrumentation , Algorithms , Canada , Data Compression , Data Interpretation, Statistical , Humans , Practice Guidelines as Topic , Sensitivity and Specificity
2.
Can Assoc Radiol J
; 57(4): 211-7, 2006 Oct.
Article
in English
| MEDLINE
| ID: mdl-17128888
ABSTRACT
The increasing volume of data generated by new imaging modalities such as multislice computed tomography scanners and magnetic resonance imaging justifies the use of lossy compression techniques to decrease the cost of storage and improve the efficiency of transmission over networks for teleradiology or for access to electronic patient records. We summarize here the most commonly used compression techniques and compare their main features. Having conducted an extensive literature review, we present a range of average compression ratios for different modalities and body parts. This article lays the groundwork for further evaluation with standardized statistical methods to ultimately elaborate acceptable compression guidelines.
Subject(s)
Data Compression/methods , Diagnostic Imaging , Algorithms , Artifacts , Humans , Magnetic Resonance Imaging , Statistics as Topic , Tomography, X-Ray Computed
3.
Can Assoc Radiol J
; 56(4): 225-31, 2005 Oct.
Article
in English
| MEDLINE
| ID: mdl-16419374