Paper Info
Title
Quantitative grading using Grey Relational Analysis on ultrasonographic images of a fatty liver.
Abstract
A quantitative graduation system based on Grey Relational Analysis is proposed to recognize fatty livers in B-scan ultrasonic images. We evaluated ultrasonography liver images from 95 subjects having fatty livers (Grade I, II, III) and 45 normal subjects, as diagnosed by an expert radiologist. In practice, ultrasonographical findings of fatty liver are based on the brightness level of the liver in comparison to the renal parenchyma. The development of a non-invasive and accurate method would be of great clinical value as an alternative to diagnosing fatty liver based on the radiologist's visual perception. In this study, we also evaluated AST and ALT liver enzymes for fatty liver having different grades. A high correlation between enzymes and Grey Relational Grades were found. The Receiver Operating Characteristic (ROC) curves were obtained and yielded satisfactory classification results using sensitivity, specificity and area under the curve for computing graduation and distinguishing fatty livers from healthy livers. With the proposed method based on Grey Relational Analysis, not only misdiagnosis caused by subjective differences in clinical evaluation will be reduced, but also the early diagnosis fatty liver and quantitative assessment of its degree will be achieved.
Year
DOI
Venue
2012
10.1007/s10916-011-9724-z
J. Medical Systems
Keywords
DocType
Volume
clinical evaluation,alt liver enzyme,healthy liver,ultrasonographic images,grey relational grades,accurate method,distinguishing fatty liver,ultrasonography liver image,quantitative grading,early diagnosis fatty liver,fatty liver,grey relational analysis
Journal
36
Issue
ISSN
Citations 
4
0148-5598
8
PageRank 
References 
Authors
0.61
5
3
Name
Order
Citations
PageRank
Semra İçer1435.45
Abdulhakim Coşkun280.61
Türkan Ikizceli380.94