Name
Abstract | ||
|---|---|---|
Lumbar disk herniation (LDH) is a common cause of low back pain in the world. Clinical studies have indicated that morphological characteristics of lumbar discs and signal intensity of patient's MRI image have close relationship with clinical outcome. In this paper, a visualization and quantitative analysis framework for LDH was developed. Based on the framework, six indexes, such as the distribution of the protruded disc, the ratio between the protruded part and the dural sac, relative signal intensity and etc, were extracted from patient MRI images and evaluated. Preliminary results indicate that there is a close relationship between these indexes and the grading of LDH. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-28557-8_12 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
lumbar disk herniation,mri image,close relationship,clinical study,patient mri image,lumbar disc,protruded disc,protruded part,clinical outcome,quantitative evaluation,lumbar disc herniation,quantitative analysis framework | Signal intensity,Lumbar,Radiology,Medicine,Low back pain | Conference |
Volume | Issue | ISSN |
7029 LNCS | null | 16113349 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| HongTao Jiang | 1 | 1 | 0.70 |
| Wei Qi | 2 | 1 | 0.37 |
| Qimei Liao | 3 | 1 | 0.70 |
| Haitao Zhao | 4 | 1 | 0.37 |
| Wei Lei | 5 | 1 | 0.37 |
| Li Guo | 6 | 1 | 0.37 |
| Hongbing Lu | 7 | 325 | 37.37 |