Motoko Kanegae, Jun Morita, S. Shimamura, Yuji Uema, Maiko Takahashi, M. Inami, T. Hayashida, M. Sugimoto
{"title":"Registration and projection method of tumor region projection for breast cancer surgery","authors":"Motoko Kanegae, Jun Morita, S. Shimamura, Yuji Uema, Maiko Takahashi, M. Inami, T. Hayashida, M. Sugimoto","doi":"10.1109/VR.2015.7223365","DOIUrl":null,"url":null,"abstract":"This paper introduces a registration and projection method for directly projecting the tumor region for breast cancer surgery assistance based on the breast procedure of our collaborating doctor. We investigated the steps of the breast cancer procedure of our collaborating doctor and how it can be applied for tumor region projection. We propose a novel way of MRI acquisition so we may correlate the MRI coordinates to the patient in the real world. By calculating the transformation matrix from the MRI coordinates and the coordinates from the markers that is on the patient, we are able to register the acquired MRI data to the patient. Our registration and presentation method of the tumor region was then evaluated by medical doctors.","PeriodicalId":231501,"journal":{"name":"2015 IEEE Virtual Reality (VR)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Virtual Reality (VR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VR.2015.7223365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper introduces a registration and projection method for directly projecting the tumor region for breast cancer surgery assistance based on the breast procedure of our collaborating doctor. We investigated the steps of the breast cancer procedure of our collaborating doctor and how it can be applied for tumor region projection. We propose a novel way of MRI acquisition so we may correlate the MRI coordinates to the patient in the real world. By calculating the transformation matrix from the MRI coordinates and the coordinates from the markers that is on the patient, we are able to register the acquired MRI data to the patient. Our registration and presentation method of the tumor region was then evaluated by medical doctors.