Patryk Filipiak, Timothy M Shepherd, Lee Basler, Anthony Zuccolotto, Dimitris G Placantonakis, Walter Schneider, Fernando E Boada, Steven H Baete
{"title":"用odf指纹法重建不同角度纤维交叉点的扩散模体研究。","authors":"Patryk Filipiak, Timothy M Shepherd, Lee Basler, Anthony Zuccolotto, Dimitris G Placantonakis, Walter Schneider, Fernando E Boada, Steven H Baete","doi":"10.1007/978-3-031-47292-3_3","DOIUrl":null,"url":null,"abstract":"<p><p>White matter fiber reconstructions based on seeking local maxima of Orientation Distribution Functions (ODFs) typically fail to identify fibers crossing at narrow angles below 45°. ODF-Fingerprinting (ODF-FP) replaces the ODF maxima localization mechanism with pattern matching, allowing the use of all information stored in ODFs. In this work, we study the ability of ODF-FP to reconstruct fibers crossing at varied angles spanning 10°-90° in physical diffusion phantoms composed of textile tubes with 0.8μm diameter, approaching the anatomical scale of axons. Our results show that ODF-FP is able to correctly identify 80 ± 8% of the crossing fibers regardless of the crossing angle and provide the highest average reconstruction accuracy.</p>","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"14328 ","pages":"23-34"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11826967/pdf/","citationCount":"0","resultStr":"{\"title\":\"Diffusion phantom study of fiber crossings at varied angles reconstructed with ODF-Fingerprinting.\",\"authors\":\"Patryk Filipiak, Timothy M Shepherd, Lee Basler, Anthony Zuccolotto, Dimitris G Placantonakis, Walter Schneider, Fernando E Boada, Steven H Baete\",\"doi\":\"10.1007/978-3-031-47292-3_3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>White matter fiber reconstructions based on seeking local maxima of Orientation Distribution Functions (ODFs) typically fail to identify fibers crossing at narrow angles below 45°. ODF-Fingerprinting (ODF-FP) replaces the ODF maxima localization mechanism with pattern matching, allowing the use of all information stored in ODFs. In this work, we study the ability of ODF-FP to reconstruct fibers crossing at varied angles spanning 10°-90° in physical diffusion phantoms composed of textile tubes with 0.8μm diameter, approaching the anatomical scale of axons. Our results show that ODF-FP is able to correctly identify 80 ± 8% of the crossing fibers regardless of the crossing angle and provide the highest average reconstruction accuracy.</p>\",\"PeriodicalId\":72661,\"journal\":{\"name\":\"Computational diffusion MRI : MICCAI Workshop\",\"volume\":\"14328 \",\"pages\":\"23-34\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11826967/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational diffusion MRI : MICCAI Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-031-47292-3_3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/2/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational diffusion MRI : MICCAI Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-031-47292-3_3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/7 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Diffusion phantom study of fiber crossings at varied angles reconstructed with ODF-Fingerprinting.
White matter fiber reconstructions based on seeking local maxima of Orientation Distribution Functions (ODFs) typically fail to identify fibers crossing at narrow angles below 45°. ODF-Fingerprinting (ODF-FP) replaces the ODF maxima localization mechanism with pattern matching, allowing the use of all information stored in ODFs. In this work, we study the ability of ODF-FP to reconstruct fibers crossing at varied angles spanning 10°-90° in physical diffusion phantoms composed of textile tubes with 0.8μm diameter, approaching the anatomical scale of axons. Our results show that ODF-FP is able to correctly identify 80 ± 8% of the crossing fibers regardless of the crossing angle and provide the highest average reconstruction accuracy.