{"title":"三维多模态图像在高强度聚焦超声系统中的非刚性配准与融合。","authors":"Xuesong Lu, Shiteng Suo, Haihua Liu, Su Zhang","doi":"10.3109/10929088.2011.637235","DOIUrl":null,"url":null,"abstract":"<p><p>High Intensity Focused Ultrasound (HIFU) has been successfully applied in tumor therapy. For a successful HIFU therapy, it is crucial to localize the tumor region accurately. In this paper, we present a semi-automatic non-rigid registration method for implementing image guided surgery navigation and localization by matching pre-operative CT/MR images and intra-operative ultrasound images. The global motion of the target is modeled by an affine transformation, while the local deformation of the target is described by Free-Form Deformation (FFD) based on B-splines. The results of our experiments on simulated and real data show that the non-rigid registration method based on HPV interpolation (partial volume based on the Hanning windowed sinc function) is effective at restraining local extrema and improves the accuracy of registration results. A preliminary clinical validation of the use of the non-rigid registration method in image guided localization of a HIFU system is also reported.</p>","PeriodicalId":50644,"journal":{"name":"Computer Aided Surgery","volume":"17 1","pages":"1-12"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3109/10929088.2011.637235","citationCount":"2","resultStr":"{\"title\":\"Three-dimensional multimodal image non-rigid registration and fusion in a High Intensity Focused Ultrasound system.\",\"authors\":\"Xuesong Lu, Shiteng Suo, Haihua Liu, Su Zhang\",\"doi\":\"10.3109/10929088.2011.637235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>High Intensity Focused Ultrasound (HIFU) has been successfully applied in tumor therapy. For a successful HIFU therapy, it is crucial to localize the tumor region accurately. In this paper, we present a semi-automatic non-rigid registration method for implementing image guided surgery navigation and localization by matching pre-operative CT/MR images and intra-operative ultrasound images. The global motion of the target is modeled by an affine transformation, while the local deformation of the target is described by Free-Form Deformation (FFD) based on B-splines. The results of our experiments on simulated and real data show that the non-rigid registration method based on HPV interpolation (partial volume based on the Hanning windowed sinc function) is effective at restraining local extrema and improves the accuracy of registration results. A preliminary clinical validation of the use of the non-rigid registration method in image guided localization of a HIFU system is also reported.</p>\",\"PeriodicalId\":50644,\"journal\":{\"name\":\"Computer Aided Surgery\",\"volume\":\"17 1\",\"pages\":\"1-12\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3109/10929088.2011.637235\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Aided Surgery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3109/10929088.2011.637235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Aided Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3109/10929088.2011.637235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Medicine","Score":null,"Total":0}
Three-dimensional multimodal image non-rigid registration and fusion in a High Intensity Focused Ultrasound system.
High Intensity Focused Ultrasound (HIFU) has been successfully applied in tumor therapy. For a successful HIFU therapy, it is crucial to localize the tumor region accurately. In this paper, we present a semi-automatic non-rigid registration method for implementing image guided surgery navigation and localization by matching pre-operative CT/MR images and intra-operative ultrasound images. The global motion of the target is modeled by an affine transformation, while the local deformation of the target is described by Free-Form Deformation (FFD) based on B-splines. The results of our experiments on simulated and real data show that the non-rigid registration method based on HPV interpolation (partial volume based on the Hanning windowed sinc function) is effective at restraining local extrema and improves the accuracy of registration results. A preliminary clinical validation of the use of the non-rigid registration method in image guided localization of a HIFU system is also reported.
期刊介绍:
The scope of Computer Aided Surgery encompasses all fields within surgery, as well as biomedical imaging and instrumentation, and digital technology employed as an adjunct to imaging in diagnosis, therapeutics, and surgery. Topics featured include frameless as well as conventional stereotaxic procedures, surgery guided by ultrasound, image guided focal irradiation, robotic surgery, and other therapeutic interventions that are performed with the use of digital imaging technology.