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 language | English |
|---|---|
| Title of host publication | Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings |
| Editors | Andrew Todd-Pokropek, Attila Kuba, Martin Samal |
| Publisher | Springer Verlag |
| Pages | 424-429 |
| Number of pages | 6 |
| ISBN (Print) | 3540661670, 9783540661672 |
| Publication status | Published - 1999 Jan 1 |
| Event | 16th International conference on Information Processing in Medical Imaging, IPMI 1999 - Visegrad, Hungary Duration: 1999 Jun 28 → 1999 Jul 2 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 1613 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 16th International conference on Information Processing in Medical Imaging, IPMI 1999 |
|---|---|
| Country | Hungary |
| City | Visegrad |
| Period | 99-06-28 → 99-07-02 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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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 proceeding › Conference 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 -