Modified Level Cut Liver Segmentation from CT Images
| Autor: | Ravi Nayar, Rekha R. Nair, Shiv Kumar, Tripty Singh |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Level set method
business.industry Computer science 02 engineering and technology computer.software_genre Surgical planning Liver segmentation 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Liver anatomy Voxel 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Segmentation Nuclear medicine business computer |
| Zdroj: | 2017 Ninth International Conference on Advanced Computing (ICoAC). |
| Popis: | For liver surgical planning accurate segmentation of livervasculature from abdominal CTis very significant[39]. Study on the liver vessel structure helps to locate the tumor. But segmentation of CT Liver vasculatureis not easy taskbecause ofartifacts, complex structure[11] of liver anatomy. The main two vasculature structures among the four different tubular systems are the portal(main) and hepatic veins inside liver[37]. It is not so easy to segment and differentiateamong them because of the twist, curved, obstructeach other nature and sometimes distorted by liver lesions. Also poor contrast and imperfect volume effect adds difficulties on automatic vessel segmentation of liver. Inthis we presenta novel work on automaticvasculature segmentation of Liver derived from modified level set method. Secondly Liver region is extracted from CT abdominal image using cropping. Finally, modified level cut method is used to segment vessels of liver from background voxels. Experimental outcome shows that the proposed technique can efficiently segment liver vessels from CT abdominal images. The proposed technique has been evaluated on 300 clinical CT images collected from HCG Cancer Research Hospital. |
| Databáze: | OpenAIRE |
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