NIMG-49. THE ACCURACY EVALUATION OF ARCUATE FASCICULUS OF DIFFUSION TENSOR TRACTOGRAPHY BY FUSION OF REAL SPACE AND VIRTUAL SPACE

Abstract PURPOSE Diffusion tensor-based tractography (DTT) is a method to estimate the direction of white matter fibers, but it is difficult to verify the relationship with brain function spatially with high accuracy. We developed a registration method to fuse the real space (brain surface photograph) and preoperative fused 3D image (virtual space) using the landmark method and thin plate spline method. In our previous study, this method was able to achieve highly accurate alignment registration error 0.7±0.1mm (mean±SE) even after brain shift due to craniotomy. In this study, we proposed a method to examine spatial errors of DTT and direct cortical stimulation (DCS) and verify its accuracy. METHODS We included 7 gliomas performed awake surgery. We created the fused three – dimensional image before surgery and acquired the brain surface photograph immediately after craniotomy, then we aligned them using the proposed method. Sites that showed speech arrest by DCS were plotted on the fused image. A circle with a radius of 15 mm centered on the same site was taken as the range over which the current spreads. The surface area of each of the circles was calculated to make it true if there was arcuate fasciculus drawn with DTT in the circle, and false if it did not exist. By using this method, the accuracy of the DTT was verified. RESULT: In 7 cases, speech arrest was shown at 21 DCS plots. The probability of the presence of DTT within the current spread of DCS was 64.4%. CONCLUSION The proposed method indicates that DTT does not necessarily match the DCS results by verification using real space and virtual space. We present some illustrative cases.

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NIMG-39. THE EVALUATION OF DIFFUSION TENSOR TRACTOGRAPHY USING MIXED REALITY INTEGRATED VIRTUAL SPACE AND REAL SPACE

Neuro-Oncology ◽

10.1093/neuonc/noy148.765 ◽

2018 ◽

Vol 20 (suppl_6) ◽

pp. vi184-vi184

Author(s):

Tsukasa Koike ◽

Taichi Kin ◽

Taketo Shiode ◽

Shunsaku Takayanagi ◽

Shota Tanaka ◽

...

Keyword(s):

Mixed Reality ◽

Diffusion Tensor ◽

Real Space ◽

Virtual Space ◽

Diffusion Tensor Tractography

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20608 Development and verification of three-dimensional virtual space program with coordinate similar to real space

The Proceedings of Conference of Kanto Branch ◽

10.1299/jsmekanto.2005.11.159 ◽

2005 ◽

Vol 2005.11 (0) ◽

pp. 159-160

Author(s):

Ryo INOUE ◽

Naotaka SAKAI ◽

Satoshi SHIMAWAKI

Keyword(s):

Three Dimensional ◽

Real Space ◽

Virtual Space ◽

Space Program

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MAGNETOENCEPHALOGRAPHY–ELECTROENCEPHALOGRAPHY CO-REGISTRATION USING 3D GENERALIZED HOUGH TRANSFORM

Biomedical Engineering Applications Basis and Communications ◽

10.4015/s1016237220500246 ◽

2020 ◽

Vol 32 (03) ◽

pp. 2050024

Author(s):

Sheng-Kai Lin ◽

Rong-Chin Lo ◽

Ren-Guey Lee

Keyword(s):

Hough Transform ◽

Quantum Interference ◽

Three Dimensional ◽

Image Data ◽

Epileptic Activity ◽

High Temporal Resolution ◽

Accuracy Evaluation ◽

Registration Accuracy ◽

Registration Method ◽

Generalized Hough Transform

This study proposes an advanced co-registration method for an integrated high temporal resolution electroencephalography (EEG) and magnetoencephalography (MEG) data. The MEG has a higher accuracy for source localization techniques and spatial resolution by sensing magnetic fields generated by the entire brain using multichannel superconducting quantum interference devices, whereas EEG can record electrical activities from larger cortical surface to detect epilepsy. However, by integrating the two modality tools, we can accurately localize the epileptic activity compared to other non-invasive modalities. Integrating the two modality tools is challenging and important. This study proposes a new algorithm using an extended three-dimensional generalized Hough transform (3D GHT) to co-register the two modality data. The pre-process steps require the locations of EEG electrodes, MEG sensors, head-shape points of subjects and fiducial landmarks. The conventional GHT algorithm is a well-known method used for identifying or locating two 2D images. This study proposes a new co-registration method that extends the 2D GHT algorithm to a 3D GHT algorithm that can automatically co-register 3D image data. It is important to study the prospective brain source activity in bio-signal analysis. Furthermore, the study examines the registration accuracy evaluation by calculating the root mean square of the Euclidean distance of MEG–EEG co-registration data. Several experimental results are used to show that the proposed method for co-registering the two modality data is accurate and efficient. The results demonstrate that the proposed method is feasible, sufficiently automatic, and fast for investigating brain source images.

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An Image Reconstruction System Applied to High Voltage Microscopy

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100115080 ◽

1975 ◽

Vol 33 ◽

pp. 292-293

Author(s):

D. E. Johnson

Keyword(s):

High Voltage ◽

Prior Information ◽

Block Diagram ◽

Three Dimensional ◽

Real Space ◽

Two Dimensional ◽

Efficient Manner ◽

Fourier Methods ◽

Tilt Series ◽

Methods Of Reconstruction

Increased specimen penetration; the principle advantage of high voltage microscopy, is accompanied by an increased need to utilize information on three dimensional specimen structure available in the form of two dimensional projections (i.e. micrographs). We are engaged in a program to develop methods which allow the maximum use of information contained in a through tilt series of micrographs to determine three dimensional speciman structure.In general, we are dealing with structures lacking in symmetry and with projections available from only a limited span of angles (±60°). For these reasons, we must make maximum use of any prior information available about the specimen. To do this in the most efficient manner, we have concentrated on iterative, real space methods rather than Fourier methods of reconstruction. The particular iterative algorithm we have developed is given in detail in ref. 3. A block diagram of the complete reconstruction system is shown in fig. 1.

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Self-consistent calculation of nuclear photoabsorption cross sections: Finite amplitude method with Skyrme functionals in the three-dimensional real space

Physical Review C ◽

10.1103/physrevc.80.044301 ◽

2009 ◽

Vol 80 (4) ◽

Cited By ~ 57

Author(s):

Tsunenori Inakura ◽

Takashi Nakatsukasa ◽

Kazuhiro Yabana

Keyword(s):

Cross Sections ◽

Three Dimensional ◽

Real Space ◽

Finite Amplitude ◽

Consistent Calculation ◽

Self Consistent

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A concept of mirror world for radioactive working environment by interactive fusion of radiation measurement in real space and radiation visualization in virtual space

Physics Open ◽

10.1016/j.physo.2021.100070 ◽

2021 ◽

pp. 100070

Author(s):

Yuki Sato

Keyword(s):

Real Space ◽

Virtual Space ◽

Working Environment ◽

Radiation Measurement

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Tractography Alterations in the Arcuate and Uncinate Fasciculi in Post-Stroke Aphasia

Brain Sciences ◽

10.3390/brainsci11010053 ◽

2021 ◽

Vol 11 (1) ◽

pp. 53

Author(s):

Sara Kierońska ◽

Milena Świtońska ◽

Grzegorz Meder ◽

Magdalena Piotrowska ◽

Paweł Sokal

Keyword(s):

White Matter ◽

Brain Connectivity ◽

Three Dimensional ◽

Cerebral White Matter ◽

Neural Pathways ◽

Uncinate Fasciculus ◽

Arcuate Fasciculus ◽

Fiber Tractography ◽

Post Stroke

Fiber tractography based on diffuse tensor imaging (DTI) can reveal three-dimensional white matter connectivity of the human brain. Tractography is a non-invasive method of visualizing cerebral white matter structures in vivo, including neural pathways surrounding the ischemic area. DTI may be useful for elucidating alterations in brain connectivity resulting from neuroplasticity after stroke. We present a case of a male patient who developed significant mixed aphasia following ischemic stroke. The patient had been treated by mechanical thrombectomy followed by an early rehabilitation, in conjunction with transcranial direct current stimulation (tDCS). DTI was used to examine the arcuate fasciculus and uncinate fasciculus upon admission and again at three months post-stroke. Results showed an improvement in the patient’s symptoms of aphasia, which was associated with changes in the volume and numbers of tracts in the uncinate fasciculus and the arcuate fasciculus.

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Vortex states in an acoustic Weyl crystal with a topological lattice defect

Nature Communications ◽

10.1038/s41467-021-23963-7 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Qiang Wang ◽

Yong Ge ◽

Hong-xiang Sun ◽

Haoran Xue ◽

Ding Jia ◽

...

Keyword(s):

Angular Momentum ◽

Orbital Angular Momentum ◽

Lattice Defect ◽

Three Dimensional ◽

Surface States ◽

Real Space ◽

Lattice Defects ◽

One Dimensional ◽

Topological Features ◽

Topological Lattice

AbstractCrystalline materials can host topological lattice defects that are robust against local deformations, and such defects can interact in interesting ways with the topological features of the underlying band structure. We design and implement a three dimensional acoustic Weyl metamaterial hosting robust modes bound to a one-dimensional topological lattice defect. The modes are related to topological features of the bulk bands, and carry nonzero orbital angular momentum locked to the direction of propagation. They span a range of axial wavenumbers defined by the projections of two bulk Weyl points to a one-dimensional subspace, in a manner analogous to the formation of Fermi arc surface states. We use acoustic experiments to probe their dispersion relation, orbital angular momentum locked waveguiding, and ability to emit acoustic vortices into free space. These results point to new possibilities for creating and exploiting topological modes in three-dimensional structures through the interplay between band topology in momentum space and topological lattice defects in real space.

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Fast Nonsupervised 3D Registration of PET and MR Images of the Brain

Journal of Cerebral Blood Flow & Metabolism ◽

10.1038/jcbfm.1994.96 ◽

1994 ◽

Vol 14 (5) ◽

pp. 749-762 ◽

Cited By ~ 66

Author(s):

Jean-François Mangin ◽

Vincent Frouin ◽

Isabelle Bloch ◽

Bernard Bendriem ◽

Jaime Lopez-Krahe

Keyword(s):

Three Dimensional ◽

Magnetic Resonance Images ◽

Surface Matching ◽

3D Registration ◽

Matching Algorithm ◽

Distance Map ◽

Brain Surface ◽

Discrete Surfaces ◽

Positron Emission ◽

The Brain

We propose a fully nonsupervised methodology dedicated to the fast registration of positron emission tomography (PET) and magnetic resonance images of the brain. First, discrete representations of the surfaces of interest (head or brain surface) are automatically extracted from both images. Then, a shape-independent surface-matching algorithm gives a rigid body transformation, which allows the transfer of information between both modalities. A three-dimensional (3D) extension of the chamfer-matching principle makes up the core of this surface-matching algorithm. The optimal transformation is inferred from the minimization of a quadratic generalized distance between discrete surfaces, taking into account between-modality differences in the localization of the segmented surfaces. The minimization process is efficiently performed via the precomputation of a 3D distance map. Validation studies using a dedicated brain-shaped phantom have shown that the maximum registration error was of the order of the PET pixel size (2 mm) for the wide variety of tested configurations. The software is routinely used today in a clinical context by the physicians of the Service Hospitalier Frédéric Joliot (>150 registrations performed). The entire registration process requires ∼5 min on a conventional workstation.

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