{"title":"一种用于肝肿瘤中抗癌药物弥散体积估计与重建的图像计算系统","authors":"H. Ip, S. Lam, M. Arnold, L. Kreel","doi":"10.1109/CBMS.1992.244924","DOIUrl":null,"url":null,"abstract":"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.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An image computing system for the estimation and reconstruction of diffuse volume of an anti-cancer drug in liver tumours\",\"authors\":\"H. Ip, S. Lam, M. Arnold, L. Kreel\",\"doi\":\"10.1109/CBMS.1992.244924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.<<ETX>>\",\"PeriodicalId\":197891,\"journal\":{\"name\":\"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems\",\"volume\":\"143 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.1992.244924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.1992.244924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An image computing system for the estimation and reconstruction of diffuse volume of an anti-cancer drug in liver tumours
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.<>