Abstract
This paper Presents a medical image computing system which has been designed to extract and analyze quantitative information from a spatial sequence of CT (computed tomography) images. In particular, it has been applied to the quantitation and 3D reconstruction of the diffuse pattern of a radio-opaque anti-cancer drug, lipiodol-doxorubicin, in hepatocellular carcinoma. The PC-based system computes quantitative measures which can be used to assess the effectiveness of the chemotherapeutic treatment and to study the histology of the tumour. The system can provide a visualization of the tumour volume and quantification of drug absorption using 3D surface reconstruction and graphics techniques the system can provide a visualelisation of the tumour volume and quantitation of drug absorpation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems |
| Publisher | IEEE |
| Pages | 391-397 |
| ISBN (Print) | 0818627425 |
| DOIs | |
| Publication status | Published - Jun 1992 |
| Event | 5th Annual IEEE Symposium on Computer-Based Medical Systems, CBMS 1992 - Durham, United States Duration: 14 Jun 1992 → 17 Jun 1992 |
Publication series
| Name | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
|---|---|
| ISSN (Print) | 1063-7125 |
Conference
| Conference | 5th Annual IEEE Symposium on Computer-Based Medical Systems, CBMS 1992 |
|---|---|
| Place | United States |
| City | Durham |
| Period | 14/06/92 → 17/06/92 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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