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mri template

Jo Aoe, Tadashi Watabe, Eku Shimosegawa, Hiroki Kato, Yasukazu Kanai, Sadahiro Naka, Keiko Matsunaga, Kayako Isohashi, Mitsuaki Tatsumi, Jun Hatazawa
OBJECTIVE: Resting-state functional MRI (rs-fMRI) has revealed the existence of a default-mode network (DMN) based on spontaneous oscillations of the blood oxygenation level-dependent (BOLD) signal. The BOLD signal reflects the deoxyhemoglobin concentration, which depends on the relationship between the regional cerebral blood flow (CBF) and the cerebral metabolic rate of oxygen (CMRO2 ). However, these two factors cannot be separated in BOLD rs-fMRI. In this study, we attempted to estimate the functional correlations in the DMN by means of quantitative 15 O-labeled gases and water PET, and to compare the contribution of the CBF and CMRO2 to the DMN...
June 22, 2018: Annals of Nuclear Medicine
Yoon-Sang Oh, Joong-Seok Kim, Eo-Jin Hwang, Chul Hyoung Lyoo
INTRODUCTION: Olfactory dysfunction is a sensitive biomarker of neurodegeneration and a cardinal premotor symptom of Parkinson's disease (PD). Although several non-motor symptoms of PD have been correlated with decreased dopamine transporter uptake, olfactory dysfunction and reduced dopamine transporter uptake have not been widely investigated in PD. In this study, we aimed to identify the dopamine transporter status of the corpus striatum and thalamus using a magnetic resonance imaging (MRI)-guided spatial normalization method in patients with PD according to olfactory function...
June 14, 2018: Parkinsonism & related Disorders
Alain Joe Azzi, Roy Hilzenrat, Alex Viezel-Mathieu, Thomas Hemmerling, Mirko Gilardino
Background: The utility and efficacy of 3-dimensional representation have been proven in bony reconstruction; however, its role in soft-tissue reconstruction remains limited. There is currently no reliable gold standard to objectively measure flap volume. This systematic review aims to summarize the available techniques used to objectively measure flap volume in reconstructive surgery. Methods: A systematic literature search was performed to identify all relevant articles describing objective techniques to quantify flap volume...
May 2018: Plastic and Reconstructive Surgery. Global Open
Stephanie Tullo, Gabriel A Devenyi, Raihaan Patel, Min Tae M Park, D Louis Collins, M Mallar Chakravarty
Previous work from our group demonstrated the use of multiple input atlases to a modified multi-atlas framework (MAGeT-Brain) to improve subject-based segmentation accuracy. Currently, segmentation of the striatum, globus pallidus and thalamus are generated from a single high-resolution and -contrast MRI atlas derived from annotated serial histological sections. Here, we warp this atlas to five high-resolution MRI templates to create five de novo atlases. The overall goal of this work is to use these newly warped atlases as input to MAGeT-Brain in an effort to consolidate and improve the workflow presented in previous manuscripts from our group, allowing for simultaneous multi-structure segmentation...
June 19, 2018: Scientific Data
Chuang Li, Han Yuan, Guofa Shou, Yoon-Hee Cha, Sridhar Sunderam, Walter Besio, Lei Ding
Resting state networks (RSNs) have been found in human brains during awake resting states. RSNs are composed of spatially distributed regions in which spontaneous activity fluctuations are temporally and dynamically correlated. A new computational framework for reconstructing RSNs with human EEG data has been developed in the present study. The proposed framework utilizes independent component analysis (ICA) on short-time Fourier transformed inverse source maps imaged from EEG data and statistical correlation analysis to generate cortical tomography of electrophysiological RSNs...
2018: Frontiers in Neuroscience
George W J Harston, Davide Carone, Fintan Sheerin, Mark Jenkinson, James Kennedy
BACKGROUND AND PURPOSE: Lesion expansion in the week after acute stroke involves both infarct growth (IG) and anatomic distortion (AD) because of edema and hemorrhage. Enabling separate quantification would allow clinical trials targeting these distinct pathological processes. We developed an objective and automated approach to quantify these processes at 24 hours and 1 week. METHODS: Patients with acute ischemic stroke were scanned at presentation, 24 hours, and 1 week in a magnetic resonance imaging (MRI) cohort study...
June 12, 2018: Stroke; a Journal of Cerebral Circulation
Ting Guo, Vann Chau, Shabnam Peyvandi, Beatrice Latal, Patrick S McQuillen, Walter Knirsch, Anne Synnes, Maria Feldmann, Nadja Naef, M Mallar Chakravarty, Alessandra De Petrillo, Emma G Duerden, A James Barkovich, Steven P Miller
BACKGROUND: Neonates with congenital heart disease (CHD) are at high risk of punctate white matter injury (WMI) and impaired brain development. We hypothesized that WMI in CHD neonates occurs in a characteristic distribution that shares topology with preterm WMI and that lower birth gestational age (GA) is associated with larger WMI volume. OBJECTIVE: (1) To quantitatively assess the volume and location of WMI in CHD neonates across three centres. (2) To compare the volume and spatial distribution of WMI between term CHD neonates and preterm neonates using lesion mapping...
June 8, 2018: NeuroImage
David A Woodrum, Krzysztof R Gorny, Lance A Mynderse
Prostate cancer is the most commonly diagnosed noncutaneous cancer and second leading cause of death in men. Many patients with clinically organ-confined prostate cancer undergo definitive treatment of the whole gland, including radical prostatectomy, radiation therapy, and cryosurgery. Active surveillance is a growing alternative option for patients with documented low-volume and low-grade prostate cancer. However, many patients are wanting a less morbid focal treatment alternative. With recent advances in software and hardware of magnetic resonance imaging (MRI), multiparametric MRI of the prostate has been shown to improve the accuracy in detecting and characterizing clinically significant prostate cancer...
June 2018: Topics in Magnetic Resonance Imaging: TMRI
Xiaoying Tang, Yuan Luo, Zhibin Chen, Nianwei Huang, Hans J Johnson, Jane S Paulsen, Michael I Miller
In this paper, we present a fully-automated subcortical and ventricular shape generation pipeline that acts on structural magnetic resonance images (MRIs) of the human brain. Principally, the proposed pipeline consists of three steps: (1) automated structure segmentation using the diffeomorphic multi-atlas likelihood-fusion algorithm; (2) study-specific shape template creation based on the Delaunay triangulation; (3) deformation-based shape filtering using the large deformation diffeomorphic metric mapping for surfaces...
2018: Frontiers in Neuroscience
Peter E Yoo, Jon O Cleary, Scott C Kolbe, Roger J Ordidge, Terence J O'Brien, Nicholas L Opie, Sam E John, Thomas J Oxley, Bradford A Moffat
OBJECTIVE: Ultra-high-field functional MRI (UHF-fMRI) allows for higher spatiotemporal resolution imaging. However, higher-resolution imaging entails coverage limitations. Processing partial-coverage images using standard pipelines leads to sub-optimal results. We aimed to develop a simple, semi-automated pipeline for processing partial-coverage UHF-fMRI data using widely used image processing algorithms. MATERIALS AND METHODS: We developed automated pipelines for optimized skull stripping and co-registration of partial-coverage UHF functional images, using built-in functions of the Centre for Functional Magnetic Resonance Imaging of the Brain's (FMRIB's) Software library (FSL) and advanced normalization tools...
May 29, 2018: Magma
Volker Arnd Coenen, Lena Valerie Schumacher, Christoph Kaller, Thomas Eduard Schlaepfer, Peter Christoph Reinacher, Karl Egger, Horst Urbach, Marco Reisert
Introduction: Despite their importance in reward, motivation, and learning there is only sparse anatomical knowledge about the human medial forebrain bundle (MFB) and the connectivity of the ventral tegmental area (VTA). A thorough anatomical and microstructural description of the reward related PFC/OFC regions and their connection to the VTA - the superolateral branch of the MFB (slMFB) - is however mandatory to enable an interpretation of distinct therapeutic effects from different interventional treatment modalities in neuropsychiatric disorders (DBS, TMS etc...
2018: NeuroImage: Clinical
Gaurav Vivek Bhalerao, Rujuta Parlikar, Rimjhim Agrawal, Venkataram Shivakumar, Sunil V Kalmady, Naren P Rao, Sri Mahavir Agarwal, Janardhanan C Narayanaswamy, Y C Janardhan Reddy, Ganesan Venkatasubramanian
OBJECTIVE: Spatial normalization of brain MR images is highly dependent on the choice of target brain template. Morphological differences caused by factors like genetic and environmental exposures, generates a necessity to construct population specific brain templates. Brain image analysis performed using brain templates from Caucasian population may not be appropriate for non-Caucasian population. In this study, our objective was to construct an Indian brain template from a large population (N = 157 subjects) and compare the morphometric parameters of this template with that of Chinese-56 and MNI-152 templates...
May 19, 2018: Asian Journal of Psychiatry
Thaddeus Haight, R Nick Bryan, Guray Erus, Meng-Kang Hsieh, Christos Davatzikos, Ilya Nasrallah, Mark D'Esposito, David R Jacobs, Cora Lewis, Pamela Schreiner, Stephen Sidney, Osorio Meirelles, Lenore J Launer
Objective: We examined imaging surrogates of white matter microstructural abnormalities which may precede white matter lesions (WML) and represent a relevant marker of cerebrovascular injury in adults in midlife. Methods: In 698 community-dwelling adults (mean age 50 years ±3.5 SD) from the Coronary Artery Risk Development in Young Adults (CARDIA) Brain MRI sub-study, WML were identified on structural MR and fractional anisotropy (FA), representing WM microstructural integrity, was derived using Diffusion Tensor Imaging...
2018: NeuroImage: Clinical
Abel Swaan, Christophe K Mannaerts, Matthijs Jv Scheltema, Jakko A Nieuwenhuijzen, C Dilara Savci-Heijink, Jean Jmch de la Rosette, R Jeroen A van Moorselaar, Ton G van Leeuwen, Theo M de Reijke, Daniel Martijn de Bruin
BACKGROUND: Focal therapy for prostate cancer has been proposed as an alternative treatment to whole-gland therapies in selected men to diminish side effects in localized prostate cancer. As nowadays imaging cannot offer complete prostate cancer disease characterization, multicore systematic biopsies are recommended (transrectal or transperineal). Optical imaging techniques such as confocal laser endomicroscopy and optical coherence tomography allow in vivo, high-resolution imaging. Moreover, they can provide real-time visualization and analysis of tissue and have the potential to offer additive diagnostic information...
May 21, 2018: JMIR Research Protocols
Hildegard Kehrer-Sawatzki, Uwe Kordes, Simone Seiffert, Anna Summerer, Christian Hagel, Ulrich Schüller, Said Farschtschi, Reinhard Schneppenheim, Martin Bendszus, Tim Godel, Victor-Felix Mautner
BACKGROUND: The clinical phenotype associated with germline SMARCB1 mutations has as yet not been fully documented. It is known that germline SMARCB1 mutations may cause rhabdoid tumor predisposition syndrome (RTPS1) or schwannomatosis. However, the co-occurrence of rhabdoid tumor and schwannomas in the same patient has not so far been reported. METHODS: We investigated a family with members harboring a germline SMARCB1 deletion by means of whole-body MRI as well as high-resolution microstructural magnetic resonance neurography (MRN)...
May 20, 2018: Molecular Genetics & Genomic Medicine
Yiwen Li Hegner, Justus Marquetand, Adham Elshahabi, Silke Klamer, Holger Lerche, Christoph Braun, Niels K Focke
Epilepsy is one of the most prevalent neurological diseases with a high morbidity. Accumulating evidence has shown that epilepsy is an archetypical neural network disorder. Here we developed a non-invasive cortical functional connectivity analysis based on magnetoencephalography (MEG) to assess commonalities and differences in the network phenotype in different epilepsy syndromes (non-lesional/cryptogenic focal and idiopathic/genetic generalized epilepsy). Thirty-seven epilepsy patients with normal structural brain anatomy underwent a 30-min resting state MEG measurement with eyes closed...
May 15, 2018: Brain Topography
Lau M Andersen
An important aim of an analysis pipeline for magnetoencephalographic (MEG) data is that it allows for the researcher spending maximal effort on making the statistical comparisons that will answer his or her questions. The example question being answered here is whether the so-called beta rebound differs between novel and repeated stimulations. Two analyses are presented: going from individual sensor space representations to, respectively, an across-group sensor space representation and an across-group source space representation...
2018: Frontiers in Neuroscience
Fang-Cheng Yeh, Sandip Panesar, David Fernandes, Antonio Meola, Masanori Yoshino, Juan C Fernandez-Miranda, Jean M Vettel, Timothy Verstynen
A comprehensive map of the structural connectome in the human brain has been a coveted resource for understanding macroscopic brain networks. Here we report an expert-vetted, population-averaged atlas of the structural connectome derived from diffusion MRI data (N = 842). This was achieved by creating a high-resolution template of diffusion patterns averaged across individual subjects and using tractography to generate 550,000 trajectories of representative white matter fascicles annotated by 80 anatomical labels...
May 11, 2018: NeuroImage
Basile Pinsard, Arnaud Boutin, Julien Doyon, Habib Benali
Functional MRI acquisition is sensitive to subjects' motion that cannot be fully constrained. Therefore, signal corrections have to be applied a posteriori in order to mitigate the complex interactions between changing tissue localization and magnetic fields, gradients and readouts. To circumvent current preprocessing strategies limitations, we developed an integrated method that correct motion and spatial low-frequency intensity fluctuations at the level of each slice in order to better fit the acquisition processes...
2018: Frontiers in Neuroscience
Seung Kwan Kang, Seongho Seo, Seong A Shin, Min Soo Byun, Dong Young Lee, Yu Kyeong Kim, Dong Soo Lee, Jae Sung Lee
Accurate spatial normalization (SN) of amyloid positron emission tomography (PET) images for Alzheimer's disease assessment without coregistered anatomical magnetic resonance imaging (MRI) of the same individual is technically challenging. In this study, we applied deep neural networks to generate individually adaptive PET templates for robust and accurate SN of amyloid PET without using matched 3D MR images. Using 681 pairs of simultaneously acquired 11 C-PIB PET and T1-weighted 3D MRI scans of AD, MCI, and cognitively normal subjects, we trained and tested two deep neural networks [convolutional auto-encoder (CAE) and generative adversarial network (GAN)] that produce adaptive best PET templates...
May 11, 2018: Human Brain Mapping
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