Dr. Simon K. Warfield Profile

Dr. Simon K. Warfield

at Boston Children's Hospital

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Author

Publications (12)

Proceedings Article | 15 March 2019 Presentation + Paper

Non-learning based deep parallel MRI reconstruction (NLDpMRI)

Ali Pour Yazdanpanah, Onur Afacan, Simon Warfield

Proceedings Volume 10949, 1094904 (2019) https://doi.org/10.1117/12.2511653

KEYWORDS: Magnetic resonance imaging, Neural networks, Image quality, Data acquisition, Image restoration, Reconstruction algorithms

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Proceedings Article | 20 March 2015 Paper

Multi-session complex averaging for high resolution high SNR 3T MR visualization of ex vivo hippocampus and insula

Aymeric Stamm, Jolene Singh, Benoit Scherrer, Onur Afacan, Simon Warfield

Proceedings Volume 9413, 941328 (2015) https://doi.org/10.1117/12.2082493

KEYWORDS: Signal to noise ratio, Spatial resolution, Visualization, Magnetic resonance imaging, Brain, Scanners, Image resolution, Phase shifts, Neuroimaging, Image quality

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The hippocampus and the insula are responsible for episodic memory formation and retrieval. Hence, visualization of the cytoarchitecture of such structures is of primary importance to understand the underpinnings of conscious experience. Magnetic Resonance Imaging (MRI) offers an opportunity to non-invasively image these crucial structures. However, current clinical MR imaging operates at the millimeter scale while these anatomical landmarks are organized into sub-millimeter structures. For instance, the hippocampus contains several layers, including the CA3-dentate network responsible for encoding events and experiences. To investigate whether memory loss is a result of injury or degradation of CA3/dentate, spatial resolution must exceed one hundred micron, isotropic, voxel size. Going from one millimeter voxels to one hundred micron voxels results in a 1000× signal loss, making the measured signal close to or even way below the precision of the receiving coils. Consequently, the signal magnitude that forms the structural images will be biased and noisy, which results in inaccurate contrast and less than optimal signal-to-noise ratio (SNR).

In this paper, we propose a strategy to perform high spatial resolution MR imaging of the hippocampus and insula with 3T scanners that enables accurate contrast (no systematic bias) and arbitrarily high SNR. This requires the collection of additional repeated measurements of the same image and a proper averaging of the k-space data in the complex domain. This comes at the cost of additional scan time, but long single-session scan times are not practical for obvious reasons. Hence, we also develop an approach to combine k-space data from multiple sessions, which enables the total scan time to be split into arbitrarily short sessions, where the patient is allowed to move and rest in-between. For validation, we hereby illustrate our multi-session complex averaging strategy by providing high spatial resolution 3T MR visualization of the hippocampus and insula using an ex-vivo specimen, so that the number of sessions and the duration of each session are not limited by physiological motion or poor subject compliance.

Proceedings Article | 18 March 2015 Paper

Optimized magnetic resonance diffusion protocol for ex-vivo whole human brain imaging with a clinical scanner

Benoit Scherrer, Onur Afacan, Aymeric Stamm, Jolene Singh, Simon Warfield

Proceedings Volume 9412, 94122U (2015) https://doi.org/10.1117/12.2082387

KEYWORDS: Brain, Diffusion, Tissues, Scanners, Neuroimaging, Distortion, Computer programming, Magnetic resonance imaging, Signal to noise ratio, In vivo imaging

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Proceedings Article | 13 March 2006 Paper

A subdivision-based parametric deformable model for surface extraction and statistical shape modeling of the knee cartilages

Jurgen Fripp, Stuart Crozier, Simon Warfield, Sébastien Ourselin

Proceedings Volume 6141, 614123 (2006) https://doi.org/10.1117/12.652919

KEYWORDS: Cartilage, 3D modeling, Statistical modeling, Image segmentation, Data modeling, Image processing algorithms and systems, Natural surfaces, Bone, Spherical lenses, Shape analysis

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Proceedings Article | 13 March 2006 Paper

Integration of patient specific modeling and advanced image processing techniques for image-guided neurosurgery

Neculai Archip, Andriy Fedorov, Bryn Lloyd, Nikos Chrisochoides, Alexandra Golby, Peter Black, Simon Warfield

Proceedings Volume 6141, 61411E (2006) https://doi.org/10.1117/12.653930

KEYWORDS: Brain, Magnetic resonance imaging, Surgery, Image registration, Tumors, Image processing, Functional magnetic resonance imaging, Neuroimaging, Visualization, Pathology

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Proceedings Article | 13 March 2006 Paper

XFEM-based modeling of successive resections for preoperative image updating

Lara Vigneron, Pierre Robe, Simon Warfield, Jacques Verly

Proceedings Volume 6141, 61411C (2006) https://doi.org/10.1117/12.649257

KEYWORDS: Finite element methods, Brain, Image segmentation, Terbium, Neuroimaging, Tumors, Chemical elements, Natural surfaces, Tissues, Magnetic resonance imaging

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Proceedings Article | 12 May 2004 Paper

Dense deformation field estimation for brain intraoperative images registration

Mathieu De Craene, Aloys du Bois d'Aische, Ion-Florin Talos, Matthieu Ferrant, Peter Black, Ferenc Jolesz, Ron Kikinis, Benoit Macq, Simon Warfield

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.534064

KEYWORDS: Brain, Image registration, Image segmentation, Neuroimaging, Surgery, Stochastic processes, Image processing algorithms and systems, Tumors, Optimization (mathematics), Skull

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Proceedings Article | 30 May 2003 Paper

Augmenting intraoperative MRI with preoperative fMRI and DTI by biomechanical simulation of brain deformation

Simon Warfield, Florin Talos, Corey Kemper, Eric Cosman, Alida Tei, Matthieu Ferrant, Benoit Macq, William Wells, Peter Black, Ferenc Jolesz, Ron Kikinis

Proceedings Volume 5029, (2003) https://doi.org/10.1117/12.480364

KEYWORDS: Brain, Image segmentation, Functional magnetic resonance imaging, Magnetic resonance imaging, Diffusion tensor imaging, Data modeling, Surgery, Visualization, Neuroimaging, 3D modeling

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Proceedings Article | 3 July 2001 Paper

Multiresolution parameterization of meshes for improved surface-based registration

Sylvain Jaume, Matthieu Ferrant, Simon Warfield, Benoit Macq

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.431137

KEYWORDS: Image segmentation, Brain, Image resolution, Neuroimaging, Detection and tracking algorithms, 3D modeling, Image registration, Image processing algorithms and systems, 3D image processing, Magnetic resonance imaging

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Proceedings Article | 28 May 2001 Paper

Medical image segmentation using high-performance computer clusters

Ruben Cardenes-Almeida, Juan Ruiz-Alzola, Ron Kikinis, Simon Warfield

Proceedings Volume 4319, (2001) https://doi.org/10.1117/12.428041

KEYWORDS: Image segmentation, Medical imaging, Prototyping, Magnetic resonance imaging, Sun, 3D modeling, Computing systems, Brain, Image processing, Tissues

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Proceedings Article | 28 May 2001 Paper

Real-time simulation and visualization of volumetric brain deformation for image-guided neurosurgery

Matthieu Ferrant, Arya Nabavi, Benoit Macq, Ron Kikinis, Simon Warfield

Proceedings Volume 4319, (2001) https://doi.org/10.1117/12.428076

KEYWORDS: Brain, Visualization, Surgery, Neuroimaging, Image segmentation, Tumors, Computer simulations, Tissues, Chemical elements, Image-guided intervention

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Proceedings Article | 1 May 1994 Paper

Visualizing cerebral vasculature: imaging limitations from 2D and 3D data

John Hiller, Tatjana Zrimec, Nicholas Mankovich, Simon Warfield

Proceedings Volume 2164, (1994) https://doi.org/10.1117/12.174043

KEYWORDS: Surgery, Angiography, Arteries, Visualization, 3D modeling, 3D image processing, Image processing, X-rays, Veins, Medicine

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Showing 5 of 12 publications

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