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mailto:maryse.fortin@rohub.com https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/author mailto:yiming.xiao@rohub.com https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/contentSize 9555 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/contentUrl https://api.rohub.org/api/ros/5afc48fd-e313-4c8a-8e33-44109e4182cd/crate/download/ https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/dateCreated 2022-03-22 00:57:07.999662+00:00 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/dateModified 2025-03-05 12:46:23.851868+00:00 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/datePublished 2022-03-22 00:57:07.999662+00:00 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/description This dataset contains pre-operative MR and intra-operative ultrasound data from 23 patients with low-grade gliomas (brain tumors). The dataset also contains homologous landmarks for validation of image registration methods. The image data are available in NIFTI and MINC formats. DATASET GUIDE: The landmarks of the data are in MINC tag file format with the extension ".tag". The easiest way to visualize the MINC image pair with the homologous landmarks is to use the software 'register' that comes with MINC Toolkit (LINK: http://bic-mni.github.io). To view the images, please use the following command in your terminal: "register image1.mnc image2.mnc landmarks.tag" Each row of the landmarks with six data entries represents a landmark pair. In each row, the first 3 columns are the x-, y-, and z-coordinate of landmarks belonging to image1 in world coordinates (unit = mm), and the latter 3 columns are the x-, y-, and z-coordinate of landmarks belonging to image2 in world coordinates (unit = mm). The reference MRI volume is always put as image1. In the RESECT database, this is the ultrasound before resection. The world coordinates of the corresponding MINC and NIFTI files are the same. You can find more information on the dataset at: LINK: http://yimingxiao.weebly.com/data-repositories.html https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/hasPart https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/folders/247ed3c5-a873-4d9b-9756-c1896f72c768 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/hasPart https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/folders/9ec83ff5-54d2-4edf-a8e2-3e0b3a06ce8e https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/hasPart https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/folders/d27e5a70-693b-4189-808d-fb099f7f6a91 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/hasPart https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/folders/e249246e-de19-4b84-bf7b-1fc9f3cf20bd https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/identifier https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://schema.org/name RESECT: a clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://w3id.org/ro-id/rohub/model#creation_mode MANUAL https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Yiming Xiao, Maryse Fortin, Geirmund Unsgård, Hassan Rivaz, and Ingerid Reinertsen. "RESECT: a clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries." ROHub. 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(2017).RESECT: a clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries [Data set]. Norstore. https://doi.org/10.11582/2017.00004 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/resources/f2a00a46-ab86-4060-a709-87076269be01 http://purl.org/dc/terms/rightsHolder USIGT (USIGT) https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/resources/f2a00a46-ab86-4060-a709-87076269be01 http://purl.org/dc/terms/type Image https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/resources/f2a00a46-ab86-4060-a709-87076269be01 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/resources/f2a00a46-ab86-4060-a709-87076269be01 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2017.00004 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/resources/f2a00a46-ab86-4060-a709-87076269be01 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/resources/f2a00a46-ab86-4060-a709-87076269be01 http://schema.org/dateCreated 2017-05-30 00:00:00 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/resources/f2a00a46-ab86-4060-a709-87076269be01 http://schema.org/dateModified 2022-03-22 00:57:41.575262+00:00 https://w3id.org/ro-id/5afc48fd-e313-4c8a-8e33-44109e4182cd/resources/f2a00a46-ab86-4060-a709-87076269be01 http://schema.org/description This dataset contains pre-operative MR and intra-operative ultrasound data from 23 patients with low-grade gliomas (brain tumors). The dataset also contains homologous landmarks for validation of image registration methods. The image data are available in NIFTI and MINC formats. DATASET GUIDE: The landmarks of the data are in MINC tag file format with the extension ".tag". The easiest way to visualize the MINC image pair with the homologous landmarks is to use the software 'register' that comes with MINC Toolkit (<a href="http://bic-mni.github.io" class="linkified" target="_blank">LINK</a>). To view the images, please use the following command in your terminal: "register image1.mnc image2.mnc landmarks.tag" Each row of the landmarks with six data entries represents a landmark pair. In each row, the first 3 columns are the x-, y-, and z-coordinate of landmarks belonging to image1 in world coordinates (unit = mm), and the latter 3 columns are the x-, y-, and z-coordinate of landmarks belonging to image2 in world coordinates (unit = mm). The reference MRI volume is always put as image1. In the RESECT database, this is the ultrasound before resection. The world coordinates of the corresponding MINC and NIFTI files are the same. 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