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Kreilkamp BAK, Martin P, Bender B, la Fougère C, van de Velden D, Stier C, Ethofer S, Kotikalapudi R, Marquetand J, Rauf EH, Loose M, Focke NK. Big Field of View MRI T1w and FLAIR Template - NMRI225. Sci Data 2023; 10:211. [PMID: 37059732 PMCID: PMC10104864 DOI: 10.1038/s41597-023-02087-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 03/20/2023] [Indexed: 04/16/2023] Open
Abstract
Image templates are a common tool for neuroscience research. Often, they are used for spatial normalization of magnetic resonance imaging (MRI) data, which is a necessary procedure for analyzing brain morphology and function via voxel-based analysis. This allows the researcher to reduce individual shape differences across images and make inferences across multiple subjects. Many templates have a small field-of-view typically focussed on the brain, limiting the use for applications requiring detailed information about other extra-cranial structures in the head and neck area. However, there are several applications where such information is important, for example source reconstruction of electroencephalography (EEG) and/or magnetoencephalography (MEG). We have constructed a new template based on 225 T1w and FLAIR images with a big field-of-view that can serve both as target for across subject spatial normalization as well as a basis to build high-resolution head models. This template is based on and iteratively re-registered to the MNI152 space to provide maximal compatibility with the most commonly used brain MRI template.
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Affiliation(s)
| | - Pascal Martin
- Department of Neurology and Epileptology, Hertie Institute of Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Benjamin Bender
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen Stuttgart, University Hospital Tübingen, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Department of Neuroradiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | | | | | - Christina Stier
- Clinic for Neurology, University Medical Center Göttingen, Göttingen, Germany
- Department of Neurology and Epileptology, Hertie Institute of Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Silke Ethofer
- Department of Neurosurgery, University of Tübingen, Tübingen, Germany
| | | | - Justus Marquetand
- Department of Neurology and Epileptology, Hertie Institute of Clinical Brain Research, University of Tübingen, Tübingen, Germany
- Department of Neural Dynamics and Magnetoencephalography, Hertie Institute of Clinical Brain Research, University of Tübingen, Tübingen, Germany
- MEG-Center Tübingen, University of Tübingen, Tübingen, Germany
| | - Erik H Rauf
- Clinic for Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Markus Loose
- Clinic for Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Niels K Focke
- Clinic for Neurology, University Medical Center Göttingen, Göttingen, Germany
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Luijten SPR, Bos D, van Doormaal PJ, Goyal M, Dijkhuizen RM, Dippel DWJ, Roozenbeek B, van der Lugt A, Warnert EAH. Cerebral blood flow quantification with multi-delay arterial spin labeling in ischemic stroke and the association with early neurological outcome. Neuroimage Clin 2023; 37:103340. [PMID: 36739791 PMCID: PMC9932490 DOI: 10.1016/j.nicl.2023.103340] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/13/2023] [Accepted: 01/26/2023] [Indexed: 02/01/2023]
Abstract
Restoring blood flow to brain tissue at risk of infarction is essential for tissue survival and clinical outcome. We used cerebral blood flow (CBF) quantified with multiple post-labeling delay (PLD) pseudocontinuous arterial spin labeling (ASL) MRI after ischemic stroke and assessed the association between CBF and early neurological outcome. We acquired ASL with 7 PLDs at 3.0 T in large vessel occlusion stroke patients at 24 h. We quantified CBF relative to the contralateral hemisphere (rCBF) and defined hyperperfusion as a ≥30% increase and hypoperfusion as a ≥40% decrease in rCBF. We included 44 patients (median age: 70 years, median NIHSS: 13, 40 treated with endovascular thrombectomy) of whom 37 were recanalized. Hyperperfusion in ischemic core occurred in recanalized but not in non-recanalized patients (65.8% vs 0%, p = 0.006). Hypoperfusion occurred only in the latter group (0% vs 85.7%, p < 0.001). In recanalized patients, hyperperfusion was also seen in salvaged penumbra (38.9%). Higher rCBF in ischemic core (aβ, -2.75 [95% CI: -4.11 to -1.40]) and salvaged penumbra (aβ, -5.62 [95% CI: -9.57 to -1.68]) was associated with lower NIHSS scores at 24 h. In conclusion, hyperperfusion frequently occurs in infarcted and salvaged brain tissue following successful recanalization and early neurological outcome is positively associated with the level of reperfusion.
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Affiliation(s)
- Sven P R Luijten
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, the Netherlands.
| | - Daniel Bos
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, the Netherlands
| | - Pieter-Jan van Doormaal
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, the Netherlands
| | - Mayank Goyal
- Department of Radiology, Foothills Medical Center, University of Calgary, Canada
| | - Rick M Dijkhuizen
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht & Utrecht University, the Netherlands
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC University Medical Center, the Netherlands
| | - Bob Roozenbeek
- Department of Neurology, Erasmus MC University Medical Center, the Netherlands
| | - Aad van der Lugt
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, the Netherlands
| | - Esther A H Warnert
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, the Netherlands
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Rajashekar D, Wilms M, MacDonald ME, Ehrhardt J, Mouches P, Frayne R, Hill MD, Forkert ND. High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly. Sci Data 2020; 7:56. [PMID: 32066734 PMCID: PMC7026039 DOI: 10.1038/s41597-020-0379-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 01/10/2020] [Indexed: 01/02/2023] Open
Abstract
Normative brain atlases are a standard tool for neuroscience research and are, for example, used for spatial normalization of image datasets prior to voxel-based analyses of brain morphology and function. Although many different atlases are publicly available, they are usually biased with respect to an imaging modality and the age distribution. Both effects are well known to negatively impact the accuracy and reliability of the spatial normalization process using non-linear image registration methods. An important and very active neuroscience area that lacks appropriate atlases is lesion-related research in elderly populations (e.g. stroke, multiple sclerosis) for which FLAIR MRI and non-contrast CT are often the clinical imaging modalities of choice. To overcome the lack of atlases for these tasks and modalities, this paper presents high-resolution, age-specific FLAIR and non-contrast CT atlases of the elderly generated using clinical images.
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Affiliation(s)
- Deepthi Rajashekar
- Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada.
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
| | - Matthias Wilms
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - M Ethan MacDonald
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Healthy Brain Aging Lab, University of Calgary, Calgary, AB, Canada
| | - Jan Ehrhardt
- Institute of Medical Informatics, University of Luebeck, Lübeck, Germany
| | - Pauline Mouches
- Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Richard Frayne
- Seaman Family MR Research Center, Foothills Medical Centre, Calgary, AB, Canada
- Calgary Image Processing and Analysis Center (CIPAC), Foothills Medical Centre, Calgary, AB, Canada
| | - Michael D Hill
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Nils D Forkert
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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