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Sökning: onr:"swepub:oai:lup.lub.lu.se:1e4a4d0f-2ade-4fb9-8a3f-24b1377a6241" > Coregistered histol...

Coregistered histology sections with diffusion tensor imaging data at 200 µm resolution in meningioma tumors

Brabec, Jan (författare)
Lund University,Lunds universitet,MR Physics,Forskargrupper vid Lunds universitet,Lund University Research Groups,Johns Hopkins University,Kennedy Krieger Institute
Englund, Elisabet (författare)
Lund University,Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Patologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Pathology, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
Bengzon, Johan (författare)
Lund University,Lunds universitet,Epilepsicentrum,Sektion IV,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Neurokirurgi,Institutionen för kliniska vetenskaper, Lund,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Epilepsy Center,Section IV,Department of Clinical Sciences, Lund,Faculty of Medicine,Neurosurgery,Department of Clinical Sciences, Lund,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Skåne University Hospital
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Szczepankiewicz, Filip (författare)
Lund University,Lunds universitet,Medicinsk strålningsfysik, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,MR Physics,Forskargrupper vid Lunds universitet,Multidimensional microstructure imaging,Medical Radiation Physics, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
Van Westen, Danielle (författare)
Lund University,Lunds universitet,Neuroradiologi,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,LU profilområde: Proaktivt åldrande,Lunds universitets profilområden,Neuroradiology,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,LU Profile Area: Proactive Ageing,Lund University Profile areas
Sundgren, Pia C. (författare)
Lund University,Lunds universitet,Lund University Bioimaging Center,Medicinska fakulteten,Neuroradiologi,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Faculty of Medicine,Neuroradiology,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Skåne University Hospital
Nilsson, Markus (författare)
Lund University,Lunds universitet,Lund University Bioimaging Center,Medicinska fakulteten,MR Physics,Forskargrupper vid Lunds universitet,Multidimensional microstructure imaging,Neuroradiologi,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Faculty of Medicine,Lund University Research Groups,Neuroradiology,LUCC: Lund University Cancer Centre,Other Strong Research Environments
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 (creator_code:org_t)
2023
2023
Engelska.
Ingår i: Data in Brief. - 2352-3409. ; 48
Relaterad länk:
http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
https://doi.org/10.1...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • A significant problem in diffusion MRI (dMRI) is the lack of understanding regarding which microstructural features account for the variability in the diffusion tensor imaging (DTI) parameters observed in meningioma tumors. A common assumption is that mean diffusivity (MD) and fractional anisotropy (FA) from DTI are inversely proportional to cell density and proportional to tissue anisotropy, respectively. Although these associations have been established across a wide range of tumors, they have been challenged for interpreting within-tumor variations where several additional microstructural features have been suggested as contributing to MD and FA.To facilitate the investigation of the biological underpinnings of DTI parameters, we performed ex-vivo DTI at 200 µm isotropic resolution on 16 excised meningioma tumor samples. The samples exhibit a variety of microstructural features because the dataset includes meningiomas of six different meningioma types and two different grades. Diffusion-weighted signal (DWI) maps, DWI maps averaged over all directions for given b-value, signal intensities without diffusion encoding (S0) as well as DTI parameters: MD, FA, in-plane FA (FAIP), axial diffusivity (AD) and radial diffusivity (RD), were coregistered to Hematoxylin & Eosin- (H&E) and Elastica van Gieson-stained (EVG) histological sections by a non-linear landmark-based approach.Here, we provide DWI signal and DTI maps coregistered to histology sections and describe the pipeline for processing the raw DTI data and the coregistration. The raw, processed, and coregistered data are hosted by Analytic Imaging Diagnostics Arena (AIDA) data hub registry, and software tools for processing are provided via GitHub. We hope that data can be used in research and education concerning the link between the meningioma microstructure and parameters obtained by DTI.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

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