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Deformation Field Correction for Spatial Normalization of PET Images Using a Population-Derived Partial Least Squares Model
[chapter]
2014
Lecture Notes in Computer Science
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We present a method for the spatial normalization of PET images that improves their anatomical alignment based on a deformation correction model learned from structural image registration. ...
We train partial least squares (PLS) regression models within small neighborhoods to relate the PET intensities and deformation fields obtained from the diffeomorphic mapping to the structural image deformation ...
Acknowledgments This research was supported in part by the Intramural Research Program of the NIH. ...
doi:10.1007/978-3-319-10581-9_25
pmid:25383393
pmcid:PMC4222176
fatcat:kw4aji5z6nbs3iec7pwzhknoqy
High-Dimensional Image Registration Using Symmetric Priors
1999
NeuroImage
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Bayesian statistics are used to obtain a maximum a posteriori (MAP) estimate of the deformation field. ...
A high-dimensional model is used, whereby a finite element approach is employed to estimate translations at the location of each voxel in the template image. ...
Because the mathematics of computing these partial derivatives is algebraicly dense, a C subroutine is provided in Fig. 4 that will compute the derivatives for a single triangular patch. ...
doi:10.1006/nimg.1999.0437
pmid:10334905
fatcat:5hvkvamykfavznjiqweof2d4ym
On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion
2005
NeuroImage
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The first model is a local model of voxel-by-voxel mean and variance. The second model is a PCA-based global model that accounts for covariance patterns in the images. ...
takes advantage of information present in databases of normal subjects. ...
The simulated images are also derived from a single (simulated) PET image. ...
doi:10.1016/j.neuroimage.2004.10.019
pmid:15670686
fatcat:p6uv3yyx7nhzxmdhv2fvpupwrm
Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain
2000
Human Brain Mapping
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These mappings generate a local encoding of anatomic variability and are used to create a crisp anatomical image template with highly resolved structures in their mean spatial location. ...
A disease-specific atlas is constructed to represent the human brain in Alzheimer's disease (AD). Specialized strategies are developed for population-based averaging of anatomy. ...
After intensity correction and normalization, the reconfigured scans are then averaged on a pixelby-pixel basis to produce a group image template with the average geometry and average image intensity for ...
doi:10.1002/(sici)1097-0193(200002)9:2<81::aid-hbm3>3.0.co;2-8
pmid:10680765
fatcat:2sdczc67qjdinjivdjxvmiebwu
Comparison of spatial normalization procedures and their impact on functional maps
2002
Human Brain Mapping
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The alignment accuracy and impact on functional maps of four spatial normalization procedures have been compared using a set of high resolution brain MRIs and functional PET volumes acquired in 20 subjects ...
When increasing the spatial resolution to approximately 6 mm, however, differences in localization of activated areas appear as a consequence of the different spatial normalization procedure used, restricting ...
Papathanassiou for his help in acquiring the anatomical and functional datasets used in this study. ...
doi:10.1002/hbm.10047
pmid:12112765
fatcat:6jtduplgnvbdfcqpys7ilkiw2u
An Introduction to Maps and Atlases of the Brain
[chapter]
2000
Brain Mapping: The Systems
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The Diversity of Brain Maps. Comprehensive maps of brain structure have been derived, at a variety of spatial scales. ...
Digital mapping of structural and functional image data into a common 3D coordinate space is a prerequisite for many types of brain imaging research, as it supplies a quantitative spatial reference system ...
As noted earlier, recent studies have used a deformable cryosection atlas to correlate histologic markers of Alzheimer's Disease with metabolic PET signals in vivo, while correcting for tissue deformation ...
doi:10.1016/b978-012692545-6/50003-9
fatcat:bou4diffyfgg7njgmi6i4p7wmu
Kinetic Quantitation of Cerebral PET-FDG Studies Without Concurrent Blood Sampling: Statistical Recovery of the Arterial Input Function
2010
IEEE Transactions on Medical Imaging
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Kinetic quantitation of dynamic positron emission tomography (PET) studies via compartmental modeling usually requires the time-course of the radio-tracer concentration in the arterial blood as an arterial ...
A fixed population template input function derived from prior experience with directly sampled arterial curves is one possibility. ...
For the optimization of RSS(A, θ) a standard nonlinear least squares optimization with numerical gradients is used [15] . ...
doi:10.1109/tmi.2009.2029096
pmid:19709971
pmcid:PMC4154632
fatcat:il54tt3gs5fmtmnyyy3ledhn2q
Design and Implementation of an Automated Partial Volume Correction in PET: Application to Dopamine Receptor Quantification in the Normal Human Striatum
2008
Journal of Nuclear Medicine
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The considerable effort and potential lack of reproducibility of human-driven PET quantification and partial volume correction (PVC) can be alleviated by use of atlas-based automatic analysis. ...
Methods: A total of 90 healthy volunteers (age range, 18-46 y) received a single injection of 11 C-raclopride, and automatic segmentation of concomitant structural MR images was performed using a maximum-probability ...
We thank the staff of the MR and PET units of the Radiology Department at Johns Hopkins for their participation in the collection of the clinical data, Ayon Nandi and Dr. ...
doi:10.2967/jnumed.107.048330
pmid:18552147
pmcid:PMC3104499
fatcat:6agejhsutvb2zd3jlma6pxno5i
Disease-Specific Brain Atlases
[chapter]
2000
Brain Mapping: The Disorders
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National Institute of Mental Health (NINDS/NIMH NS38753), and by a Human Brain Project grant to the International Consortium for Brain Mapping, funded jointly by NIMH and NIDA (P20 MH/DA52176). ...
Acknowledgments This work was supported by research grants from the National Center for Research Resources (P41 RR13642 and RR05956), the National Institute of Neurological Disorders and Stroke and the ...
These three-dimensional deformation fields are used to create a crisp anatomical image template with highly-resolved structures in their mean spatial location. ...
doi:10.1016/b978-012481460-8/50009-3
fatcat:63fa3fvfdbbf3hq6qm4dy5nwny
Subpopulation Brain Atlases
[chapter]
2002
Brain Mapping: The Methods
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of Mental Health (NINDS/NIMH NS38753), and by a Human Brain Project grant to the International Consortium for Brain Mapping, funded jointly by NIMH and NIDA (P20 MH/DA52176). ...
Special thanks go to Neal Jeffries for his advice on longitudinal random effects models, and to our colleagues Katherine Narr, Jay Giedd, Judith Rapoport, Tyrone Cannon, Elizabeth Sowell, Christine Vidal ...
The notion of least distortion can be formulated precisely using either (1) mean vector fields ; (2) matrix and deformation tensor metrics , (3) using the L 2 -norm on the Hilbert space of deformation ...
doi:10.1016/b978-012693019-1/50030-7
fatcat:jyb3d46vhbbp7nfqw3yothneia
Computational anatomy with the SPM software
2009
Magnetic Resonance Imaging
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Most volumetric studies involve univariate approaches, with a correction for some global measure, such as total brain volume. ...
Such models of anatomical variability may prove accurate enough for computer assisted diagnoses. ...
Analyzing deformation fields Usually, when procedures such as SPM are applied to imaging data, the images are all spatially normalized to some common reference space. ...
doi:10.1016/j.mri.2009.01.006
pmid:19249168
fatcat:jimplwrt45hltdc4weu6co4pyq
A framework for computational anatomy
2002
Computing and Visualization in Science
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We present some novel mathematical strategies for computational anatomy, focusing on the creation of population-based brain atlases. ...
Efforts to uncover new patterns of altered structure and function in individuals and clinical populations have also led to the new field of computational anatomy ...
Toga AW, Thompson PM (1997) Measuring, Mapping, and Modeling Brain Structure and Function, SPIE Medical Imaging Symposium, Feb. 1997 ...
doi:10.1007/s00791-002-0084-6
fatcat:cla6fnu5ybbpngc2gjmcijzavi
Neurofibrillary tau depositions emerge with subthreshold cerebral beta-amyloidosis in down syndrome
2021
NeuroImage: Clinical
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PET images were converted to units of standardized uptake value ratios (SUVrs). ...
A large-sized association that survived adjustment for chronological age, mental age (assessed using the Peabody Picture Vocabulary Test), and imaging site was observed between AβL and AV-1451 within each ...
Acknowledgements ABC-DS: The Alzheimer's Biomarkers Consortium -Down Syndrome (ABC-DS) project is a longitudinal study of cognition and blood based, genetic and imaging biomarkers of Alzheimer's Disease ...
doi:10.1016/j.nicl.2021.102740
pmid:34182407
pmcid:PMC8252122
fatcat:ebi64tr7azg63azzo7s7jafv5i
A Review of Geometric Transformations for Nonrigid Body Registration
2008
IEEE Transactions on Medical Imaging
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This paper provides a comprehensive and quantitative review of spatial transformations models for nonrigid image registration. ...
This results in two categories, physically based models described by partial differential equations of continuum mechanics (e.g., linear elasticity and fluid flow) and basis function expansions derived ...
It is typically used for iterative least squares problems to reduces the impact of outliers. The transformation model used depends on the number of voxels in the block. ...
doi:10.1109/tmi.2007.904691
pmid:18270067
fatcat:ij3xb2d4hfdfxa3dctj23mk4hm
Accurate High-Speed Spatial Normalization Using an Octree Method
1999
NeuroImage
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Full-resolution volumetric spatial normalization methods use a high-degree-of-freedom coordinate transform, called a deformation field, for this task. ...
Processing to fit features at the limiting resolution of a 3-D MR image volume is computationally intensive, limiting broad use of full-resolution regional spatial normalization. ...
Overall linearity of global scaling within the solid models was assessed from the slope of a least squares linear regression fit of mean measured vs predicted distances. ...
doi:10.1006/nimg.1999.0509
pmid:10600418
fatcat:lyd757omqrdy7giyptm534lwhi
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