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A Digital Pediatric Brain Structure Atlas from T1-Weighted MR Images [chapter]

Zuyao Y. Shan, Carlos Parra, Qing Ji, Robert J. Ogg, Yong Zhang, Fred H. Laningham, Wilburn E. Reddick
2006 Lecture Notes in Computer Science  
Therefore, we proposed to develop a digital atlas of the pediatric human brain in this study. The atlas was constructed from T1-weighted MR data set of a 9-year old, right-handed girl.  ...  Human brain atlases are indispensable tools in model-based segmentation and quantitative analysis of brain structures.  ...  Zuyao Shan and the Cancer Center Support Grant (CA21765) from the National Cancer Institute and by the American Lebanese Syrian Associated Charities (ALSAC).  ... 
doi:10.1007/11866763_41 fatcat:tihhedyqcjdj7alew7nyao46sa

A pediatric brain structure atlas from T1-weighted MR images

Zuyao Y. Shan, Carlos Parra, Qing Ji, Robert J. Ogg, Yong Zhang, Fred H. Laningham, Wilburn E. Reddick, Kevin R. Cleary, Robert L. Galloway, Jr.
2006 Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display  
Therefore, we proposed to develop a digital atlas of the pediatric human brain in this study. The atlas was constructed from T1 weighted MR data set of a 9 year old, right-handed girl.  ...  In this paper, we have developed a digital atlas of the pediatric human brain.  ...  Zuyao Shan and the Cancer Center Support Grant (CA21765) from the National Cancer Institute and by the American Lebanese Syrian Associated Charities (ALSAC).  ... 
doi:10.1117/12.651922 dblp:conf/miigp/ShanPJOZLR06 fatcat:zuph7pftava2ji7zlvdq52vcw4

A Tool to Investigate Symmetry Properties of Newborns Brain: The Newborns' Symmetric Brain Atlas

Negar Noorizadeh, Kamran Kazemi, Reinhard Grebe, Mohammad Sadegh Helfroush, Mahdi Mahmoudzadeh, Fabrice Wallois
2013 ISRN Neuroscience  
Thus, in this paper we present our framework to create a symmetric brain atlas from a group of newborns aged between 39 and 42 weeks after gestation.  ...  Until now most atlases used for image processing contain themselves asymmetry and may thus introduce and/or increase asymmetry already contained in the original data of brain structural or functional images  ...  Hence, this paper presents a method to create a symmetric neonate brain atlas using T1-weighted MR images from subjects in their first month of life.  ... 
doi:10.1155/2013/317215 pmid:24967308 pmcid:PMC4045561 fatcat:ti76ywejxjgnnirgttlsahvfvm

Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression

Ahmed Serag, Paul Aljabar, Gareth Ball, Serena J. Counsell, James P. Boardman, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert
2012 NeuroImage  
In this paper we present an approach for constructing a 4D atlas of the developing brain, between 28 and 44 weeks post-menstrual age at time of scan, using T1 and T2 weighted MR images from 204 premature  ...  A better understanding of brain development requires a spatiotemporal atlas that characterizes the dynamic changes during this period.  ...  Acknowledgments We are grateful for support from the 'Chloe-Svider' grant. We thank the families who took part in the study.  ... 
doi:10.1016/j.neuroimage.2011.09.062 pmid:21985910 fatcat:ka37g7j2aba6riqjls523ugczi

Deep Learning-Based Studies on Pediatric Brain Tumors Imaging: Narrative Review of Techniques and Challenges

Hala Shaari, Jasmin Kevrić, Samed Jukić, Larisa Bešić, Dejan Jokić, Nuredin Ahmed, Vladimir Rajs
2021 Brain Sciences  
The purpose of this review paper is to include a detailed summary by first providing a succinct guide to the types of pediatric brain tumors and pediatric brain tumor imaging techniques.  ...  Brain tumors diagnosis in children is a scientific concern due to rapid anatomical, metabolic, and functional changes arising in the brain and non-specific or conflicting imaging results.  ...  A FCN was developed in 2016 in the form of segmentation of isointense phase brain MR images [57] . They operate a convolution-pooling stream for multi-modality data from T1, T2 and FA images.  ... 
doi:10.3390/brainsci11060716 pmid:34071202 fatcat:usmduuhzyzcsrh7lgto3ejzbfu

The EPTN consensus-based atlas for CT- and MR-based contouring in neuro-oncology

Daniëlle BP Eekers, Lieke in 't Ven, Erik Roelofs, Alida Postma, Claire Alapetite, Neil G. Burnet, Valentin Calugaru, Inge Compter, Ida E.M. Coremans, Morton Høyer, Maarten Lambrecht, Petra Witt Nyström (+12 others)
2018 Radiotherapy and Oncology  
In addition, a 7T MR without intravenous contrast agent was obtained from a healthy volunteer.  ...  ) and magnetic resonance (MR) imaging.  ...  Disclosure of conflicts of interest This research was partially supported by the Brains Unlimited Pioneer Fund of the Limburg University Fund/SWOL (S.2013.1.011).  ... 
doi:10.1016/j.radonc.2017.12.013 pmid:29548560 fatcat:7gkzxnkf2ffq3hgrsmaz3icmim

Front Matter: Volume 12032

Ivana Išgum, Olivier Colliot
2022 Medical Imaging 2022: Image Processing  
SPIE uses a seven-digit CID article numbering system structured as follows:  The first five digits correspond to the SPIE volume number.  The last two digits indicate publication order within the volume  ...  using a Base 36 numbering system employing both numerals and letters.  ...  network and one-shot learning [12032-14] 0H Evaluating the impact of MR image harmonization on thalamus deep network segmentation [12032-15] 0I Evaluating the impact of MR image contrast on whole brain  ... 
doi:10.1117/12.2638192 fatcat:ikfgnjefaba2tpiamxoftyi6sa

A Probabilistic Atlas of the Pineal Gland in the Standard Space

Foroogh Razavi, Samira Raminfard, Hadis Kalantar Hormozi, Minoo Sisakhti, Seyed Amir Hossein Batouli
2021 Frontiers in Neuroinformatics  
A suggestion for the limited number of such studies is the lack of a standard atlas for the PG; none of the available MRI templates and atlases has provided parcellations for this structure.  ...  Pineal gland (PG) is a structure located in the midline of the brain, and is considered as a main part of the epithalamus.  ...  Thus, we used the FSL Brain Extraction Tool (BET) (Smith, 2002) to remove the non-brain tissues from the T1-weighted images (using the "bias field and neck cleanup" option in BET, with a fractional intensity  ... 
doi:10.3389/fninf.2021.554229 pmid:34079447 pmcid:PMC8165226 fatcat:wrqk2g4jjrhs3dzmqxhee53iiu

Front Matter: Volume 9788

2016 Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging  
SPIE uses a six-digit CID article numbering system structured as follows:  The first four digits correspond to the SPIE volume number.  The last two digits indicate publication order within the volume  ...  Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library.  ...  04 Spatiotemporal-atlas-based dynamic speech imaging 9788 05 Design and evaluation of a grid reciprocation scheme for use in digital breast tomosynthesis 9788 06 Performance modeling of a wearable brain  ... 
doi:10.1117/12.2240426 dblp:conf/mibam/X16 fatcat:msxwbg54kbegriwgvgcw4dnzu4

The macaque brain ONPRC18 template with combined gray and white matter labelmap for multimodal neuroimaging studies of nonhuman primates

Alison R Weiss, Zheng Liu, Xiaojie Wang, William A Liguore, Christopher D. Kroenke, Jodi L. McBride
2020 NeuroImage  
To address this, we created a brain atlas from 18 adult rhesus macaques that includes co-registered templates constructed from images frequently used to characterize macroscopic brain structure (T2/SPACE  ...  and T1/MP-RAGE), and a diffusion tensor imaging (DTI) template.  ...  /NIAAA U24 AA025473, NIH P51 OD011092, the Bev Hartig Huntington's Disease Foundation and a grant from the M.J.  ... 
doi:10.1016/j.neuroimage.2020.117517 pmid:33137475 pmcid:PMC7833476 fatcat:neabj3gbkbfflocbrc242hia4m

Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging

David Alexander Dickie, Susan D. Shenkin, Devasuda Anblagan, Juyoung Lee, Manuel Blesa Cabez, David Rodriguez, James P. Boardman, Adam Waldman, Dominic E. Job, Joanna M. Wardlaw
2017 Frontiers in Neuroinformatics  
2017) Whole brain magnetic resonance image atlases: a systematic review of existing atlases and caveats for use in population imaging. Front. Neuroinform. 11:1.  ...  Abstract 1 2 Brain MRI atlases may be used to characterise brain structural changes across the life 3 course.  ...  A new improved version of 16 the realistic digital brain phantom.  ... 
doi:10.3389/fninf.2017.00001 pmid:28154532 pmcid:PMC5244468 fatcat:axxm6m7svnduflvtdvtt7q7tkm

Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation

Yu-Dong Zhang, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jiménez-Mesa, Javier Ramirez, Francisco J. Martinez, Juan Manuel Gorriz
2020 Information Fusion  
of available imaging modalities, (4) fundamental fusion rules, (5) fusion quality assessment methods, and (6) the applications of fusion for atlas-based segmentation and quantification.  ...  Multimodal fusion in neuroimaging combines data from multiple imaging modalities to overcome the fundamental limitations of individual modalities.  ...  Early pediatric brain MRI studies focused on the anatomical aspects using T1-weighted and T2-weighted images.  ... 
doi:10.1016/j.inffus.2020.07.006 pmid:32834795 pmcid:PMC7366126 fatcat:3cmhcplb5bf2fgpx3kukifbj74

Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors

Atiq Islam, Syed M. S. Reza, Khan M. Iftekharuddin
2013 IEEE Transactions on Biomedical Engineering  
A stochastic model for characterizing tumor texture in brain magnetic resonance (MR) images is proposed.  ...  Gering et al. [12] proposed a promising framework for brain tumor segmentation by recognizing deviation from normal tissue.  ...  The authors would like to express appreciation to Children Hospital of Philadelphia for providing the pediatric brain MR images for this paper.  ... 
doi:10.1109/tbme.2013.2271383 pmid:23807424 pmcid:PMC5126980 fatcat:afhdyg3e2bhfrgbss36bk25ks4

A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis [chapter]

Yonghui Fan, Gang Wang, Natasha Lepore, Yalin Wang
2018 Lecture Notes in Computer Science  
Connectivity 560 Ultra-fast T2-weighted MR Reconstruction using Complementary T1-weighted Information 562 Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization of Histopathological Images  ...  for Bayesian Random Field PET Reconstruction 520 Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia 528 IMAGE SEGMENTATION  ... 
doi:10.1007/978-3-030-00931-1_48 pmid:30338317 pmcid:PMC6191198 fatcat:dqhvpm5xzrdqhglrfftig3qejq

Infant Brain Atlases from Neonates to 1- and 2-Year-Olds

Feng Shi, Pew-Thian Yap, Guorong Wu, Hongjun Jia, John H. Gilmore, Weili Lin, Dinggang Shen, Hitoshi Okazawa
2011 PLoS ONE  
Conclusions: We expect that the proposed infant 0-1-2 brain atlases would be significantly conducive to structural and functional studies of the infant brains.  ...  The reason may be largely due to the dramatic early brain development, image processing difficulties, and the need of a large sample size.  ...  Additionally, using an adult atlas (ICBM-Adult) or even a pediatric atlas (CCHMC-Young) has been confirmed to compromise accuracy in analyzing infant brain images.  ... 
doi:10.1371/journal.pone.0018746 pmid:21533194 pmcid:PMC3077403 fatcat:xuw5l6g3xfhfvafsez2cmzxamm
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