A. G. de Groot, V. Groenhuis, S. Stramigioli, F. Siepel
{"title":"Breast surface reconstruction utilising autonomous robotic assisted ultrasound image acquisition","authors":"A. G. de Groot, V. Groenhuis, S. Stramigioli, F. Siepel","doi":"10.31256/hsmr2023.76","DOIUrl":null,"url":null,"abstract":"One in eight females will be diagnosed with breast cancer in their lifetime, making it the most diagnosed cancer globally [1]. Three phases are essential for the outcome of breast cancer; early detection, accurate diag- nosis and treatment. Magnetic resonance imaging (MRI) has proven to be highly sensitive in detecting possible tu- mors lesions compared to other image modalities. How- ever, ultrasound (US) guided biopsies are the standard and biopsies on MRI detected lesions is challenging, because these lesions may not be visible on US images. Registration of pre-operative MRI with the intra- operative US combines the benefits of both imaging modalities and subsequently improve tumor localisation. Therefore, this work presents an US image-based sur- face reconstruction based on autonomous acquired US images to increase the accuracy of MRI/US registration. Thereby the proposed work eliminates the need for inter- sensor calibration as would be needed if stereo camera- based, depth camera-based or marker-based breast sur- face reconstruction would be used.","PeriodicalId":129686,"journal":{"name":"Proceedings of The 15th Hamlyn Symposium on Medical Robotics 2023","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The 15th Hamlyn Symposium on Medical Robotics 2023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31256/hsmr2023.76","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
One in eight females will be diagnosed with breast cancer in their lifetime, making it the most diagnosed cancer globally [1]. Three phases are essential for the outcome of breast cancer; early detection, accurate diag- nosis and treatment. Magnetic resonance imaging (MRI) has proven to be highly sensitive in detecting possible tu- mors lesions compared to other image modalities. How- ever, ultrasound (US) guided biopsies are the standard and biopsies on MRI detected lesions is challenging, because these lesions may not be visible on US images. Registration of pre-operative MRI with the intra- operative US combines the benefits of both imaging modalities and subsequently improve tumor localisation. Therefore, this work presents an US image-based sur- face reconstruction based on autonomous acquired US images to increase the accuracy of MRI/US registration. Thereby the proposed work eliminates the need for inter- sensor calibration as would be needed if stereo camera- based, depth camera-based or marker-based breast sur- face reconstruction would be used.