M. Ambrosanio, F. Baselice, G. Ferraioli, F. Lenti, V. Pascazio
{"title":"基于压缩感知的MRI多分量松弛测量","authors":"M. Ambrosanio, F. Baselice, G. Ferraioli, F. Lenti, V. Pascazio","doi":"10.1109/NSSMIC.2016.8069565","DOIUrl":null,"url":null,"abstract":"A novel application of ℓ1-norm minimization in the MRI field is presented. The novel methodology, called Intra Voxel Analysis (IVA), by combining different acquisitions with standard resolution, is able to investigate the presence of different contributions, i.e., of different tissues, inside each imaged voxel. The approach is somehow similar to spectroscopy, but instead of searching different resonance frequencies, it discriminates within each voxel the tissues characterized by different spin-spin relaxation times. The proposed methodology is able to work on MR images acquired at full resolution by using any acquisition scheme. A phantom has been built and images for testing the approach.","PeriodicalId":184587,"journal":{"name":"2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MRI multicomponent relaxometry based on compressive sensing\",\"authors\":\"M. Ambrosanio, F. Baselice, G. Ferraioli, F. Lenti, V. Pascazio\",\"doi\":\"10.1109/NSSMIC.2016.8069565\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel application of ℓ1-norm minimization in the MRI field is presented. The novel methodology, called Intra Voxel Analysis (IVA), by combining different acquisitions with standard resolution, is able to investigate the presence of different contributions, i.e., of different tissues, inside each imaged voxel. The approach is somehow similar to spectroscopy, but instead of searching different resonance frequencies, it discriminates within each voxel the tissues characterized by different spin-spin relaxation times. The proposed methodology is able to work on MR images acquired at full resolution by using any acquisition scheme. A phantom has been built and images for testing the approach.\",\"PeriodicalId\":184587,\"journal\":{\"name\":\"2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)\",\"volume\":\"259 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSSMIC.2016.8069565\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.2016.8069565","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MRI multicomponent relaxometry based on compressive sensing
A novel application of ℓ1-norm minimization in the MRI field is presented. The novel methodology, called Intra Voxel Analysis (IVA), by combining different acquisitions with standard resolution, is able to investigate the presence of different contributions, i.e., of different tissues, inside each imaged voxel. The approach is somehow similar to spectroscopy, but instead of searching different resonance frequencies, it discriminates within each voxel the tissues characterized by different spin-spin relaxation times. The proposed methodology is able to work on MR images acquired at full resolution by using any acquisition scheme. A phantom has been built and images for testing the approach.