The assessment of chronic liver diseases by sonography

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a new ultrasonic scoring system based on the texture characteristics of ultrasonic liver images. This system generates an ultrasonic disease severity (UDS) score that is highly correlated with the computer morphometry (CM) score obtained from the evaluation of liver fibrosis based on the biopsy specimens. Essentially, UDS score is very similar to the CM score in the statistical presentation. Therefore, UDS score is defined mathematically referring to CM score as the scoring basis. As a result, UDS can faithfully reflect the disease progression that is determined conventionally based on the evaluation of liver fibrosis. Promising results have been obtained in experimental studies, and it will currently undergoes extensive clinical experiments.

Original languageEnglish
Title of host publicationInformation Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings
EditorsAndrew Todd-Pokropek, Attila Kuba, Martin Samal
PublisherSpringer Verlag
Pages424-429
Number of pages6
ISBN (Print)3540661670, 9783540661672
Publication statusPublished - 1999 Jan 1
Event16th International conference on Information Processing in Medical Imaging, IPMI 1999 - Visegrad, Hungary
Duration: 1999 Jun 281999 Jul 2

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1613
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International conference on Information Processing in Medical Imaging, IPMI 1999
CountryHungary
CityVisegrad
Period99-06-2899-07-02

Fingerprint

Ultrasonography
Liver
Ultrasonics
Morphometry
Fibrosis
Scoring
Biopsy
Evaluation
Progression
Texture
Experimental Study
Textures
Experiment

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Horng, M. H., Sun, Y-N., & Lin, X-Z. (1999). The assessment of chronic liver diseases by sonography. In A. Todd-Pokropek, A. Kuba, & M. Samal (Eds.), Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings (pp. 424-429). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1613). Springer Verlag.
Horng, M. H. ; Sun, Yung-Nien ; Lin, Xi-Zhang. / The assessment of chronic liver diseases by sonography. Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings. editor / Andrew Todd-Pokropek ; Attila Kuba ; Martin Samal. Springer Verlag, 1999. pp. 424-429 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{f2d3fb40bd6b493a8e973e052be7679e,
title = "The assessment of chronic liver diseases by sonography",
abstract = "This paper describes a new ultrasonic scoring system based on the texture characteristics of ultrasonic liver images. This system generates an ultrasonic disease severity (UDS) score that is highly correlated with the computer morphometry (CM) score obtained from the evaluation of liver fibrosis based on the biopsy specimens. Essentially, UDS score is very similar to the CM score in the statistical presentation. Therefore, UDS score is defined mathematically referring to CM score as the scoring basis. As a result, UDS can faithfully reflect the disease progression that is determined conventionally based on the evaluation of liver fibrosis. Promising results have been obtained in experimental studies, and it will currently undergoes extensive clinical experiments.",
author = "Horng, {M. H.} and Yung-Nien Sun and Xi-Zhang Lin",
year = "1999",
month = "1",
day = "1",
language = "English",
isbn = "3540661670",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "424--429",
editor = "Andrew Todd-Pokropek and Attila Kuba and Martin Samal",
booktitle = "Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings",
address = "Germany",

}

Horng, MH, Sun, Y-N & Lin, X-Z 1999, The assessment of chronic liver diseases by sonography. in A Todd-Pokropek, A Kuba & M Samal (eds), Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1613, Springer Verlag, pp. 424-429, 16th International conference on Information Processing in Medical Imaging, IPMI 1999, Visegrad, Hungary, 99-06-28.

The assessment of chronic liver diseases by sonography. / Horng, M. H.; Sun, Yung-Nien; Lin, Xi-Zhang.

Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings. ed. / Andrew Todd-Pokropek; Attila Kuba; Martin Samal. Springer Verlag, 1999. p. 424-429 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1613).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - The assessment of chronic liver diseases by sonography

AU - Horng, M. H.

AU - Sun, Yung-Nien

AU - Lin, Xi-Zhang

PY - 1999/1/1

Y1 - 1999/1/1

N2 - This paper describes a new ultrasonic scoring system based on the texture characteristics of ultrasonic liver images. This system generates an ultrasonic disease severity (UDS) score that is highly correlated with the computer morphometry (CM) score obtained from the evaluation of liver fibrosis based on the biopsy specimens. Essentially, UDS score is very similar to the CM score in the statistical presentation. Therefore, UDS score is defined mathematically referring to CM score as the scoring basis. As a result, UDS can faithfully reflect the disease progression that is determined conventionally based on the evaluation of liver fibrosis. Promising results have been obtained in experimental studies, and it will currently undergoes extensive clinical experiments.

AB - This paper describes a new ultrasonic scoring system based on the texture characteristics of ultrasonic liver images. This system generates an ultrasonic disease severity (UDS) score that is highly correlated with the computer morphometry (CM) score obtained from the evaluation of liver fibrosis based on the biopsy specimens. Essentially, UDS score is very similar to the CM score in the statistical presentation. Therefore, UDS score is defined mathematically referring to CM score as the scoring basis. As a result, UDS can faithfully reflect the disease progression that is determined conventionally based on the evaluation of liver fibrosis. Promising results have been obtained in experimental studies, and it will currently undergoes extensive clinical experiments.

UR - http://www.scopus.com/inward/record.url?scp=84947429867&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84947429867&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84947429867

SN - 3540661670

SN - 9783540661672

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 424

EP - 429

BT - Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings

A2 - Todd-Pokropek, Andrew

A2 - Kuba, Attila

A2 - Samal, Martin

PB - Springer Verlag

ER -

Horng MH, Sun Y-N, Lin X-Z. The assessment of chronic liver diseases by sonography. In Todd-Pokropek A, Kuba A, Samal M, editors, Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings. Springer Verlag. 1999. p. 424-429. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).