S. Shimamura, Motoko Kanegae, Jun Morita, Yuji Uema, M. Inami, T. Hayashida, H. Saito, M. Sugimoto
{"title":"Virtual slicer: interactive visualizer for tomographic medical images based on position and orientation of handheld device","authors":"S. Shimamura, Motoko Kanegae, Jun Morita, Yuji Uema, M. Inami, T. Hayashida, H. Saito, M. Sugimoto","doi":"10.1145/2617841.2620697","DOIUrl":null,"url":null,"abstract":"This paper introduces an interface that helps understand the correspondence between the patient and medical images. Surgeons determine the extent of resection by using tomographic images such as MRI (Magnetic Resonance Imaging) data. However, understanding the relationship between the patient and tomographic images is difficult. This study aims to visualize the correspondence more intuitively. In this paper, we propose an interactive visualizer for medical images based on the relative position and orientation of the handheld device and the patient. We conducted an experiment to verify the performances of the proposed method and several other methods. In the experiment, the proposed method showed the minimum error.","PeriodicalId":128331,"journal":{"name":"Proceedings of the 2014 Virtual Reality International Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 Virtual Reality International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2617841.2620697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces an interface that helps understand the correspondence between the patient and medical images. Surgeons determine the extent of resection by using tomographic images such as MRI (Magnetic Resonance Imaging) data. However, understanding the relationship between the patient and tomographic images is difficult. This study aims to visualize the correspondence more intuitively. In this paper, we propose an interactive visualizer for medical images based on the relative position and orientation of the handheld device and the patient. We conducted an experiment to verify the performances of the proposed method and several other methods. In the experiment, the proposed method showed the minimum error.