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

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

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

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi172-vi172
Author(s):  
Tsukasa Koike ◽  
Taichi Kin ◽  
Yasuhiro Takeda ◽  
Hiroki Uchikawa ◽  
Taketo Shiode ◽  
...  
Keyword(s):  
Diffusion Tensor ◽  
Three Dimensional ◽  
Real Space ◽  
Virtual Space ◽  
Awake Surgery ◽  
Accuracy Evaluation ◽  
Arcuate Fasciculus ◽  
Registration Method ◽  
Brain Surface ◽  
Surface Photograph

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.

scholarly journals Pictorial essay: How co-registered BOLD fMRI and DTI data can improve diffusion tensor tractography

2021 ◽  
pp. 101258
Author(s):  
Bojan D. Petrovic ◽  
Doug Burman ◽  
Shakeel Chowdhry ◽  
Julian E. Bailes ◽  
Joel Meyer
Keyword(s):  
Diffusion Tensor ◽  
Diffusion Tensor Tractography ◽  
Bold Fmri ◽  
Pictorial Essay

Corticoreticular pathway in the human brain: Diffusion tensor tractography study

2012 ◽  
Vol 508 (1) ◽  
pp. 9-12 ◽  
Author(s):  
Sang Seok Yeo ◽  
Min Cheol Chang ◽  
Yong Hyun Kwon ◽  
Young Jin Jung ◽  
Sung Ho Jang
Keyword(s):  
Human Brain ◽  
Diffusion Tensor ◽  
Diffusion Tensor Tractography ◽  
Corticoreticular Pathway

Diffusion tensor tractography indices in patients with frontal lobe injury and its correlation with neuropsychological tests

2012 ◽  
Vol 114 (6) ◽  
pp. 564-571 ◽  
Author(s):  
Deepa Pal ◽  
Rakesh K. Gupta ◽  
Shruti Agarwal ◽  
Abhishek Yadav ◽  
Bal K. Ojha ◽  
...  
Keyword(s):  
Frontal Lobe ◽  
Neuropsychological Tests ◽  
Diffusion Tensor ◽  
Diffusion Tensor Tractography

Diffusion tensor tractography of the temporal stem on the inferior limiting sulcus

2008 ◽  
Vol 108 (4) ◽  
pp. 775-781 ◽  
Author(s):  
Feng Wang ◽  
Tao Sun ◽  
Xing-Gang Li ◽  
Na-Jia Liu
Keyword(s):  
White Matter ◽  
Diffusion Tensor ◽  
Anterior Commissure ◽  
Region Of Interest ◽  
Diffusion Tensor Tractography ◽  
Optic Radiation ◽  
Uncinate Fasciculus ◽  
White Matter Tracts ◽  
Temporal Horn ◽  
Temporal Stem

Object The aim of this study was to use diffusion tensor tractography (DTT) to define the 3D relationships of the uncinate fasciculus, anterior commissure, inferior occipitofrontal fasciculus, inferior thalamic peduncle, and optic radiation and to determine the positioning landmarks of these white matter tracts. Methods The anatomy was studied in 10 adult human brain specimens. Brain DTT was performed in 10 healthy volunteers. Diffusion tensor tractography images of the white matter tracts in the temporal stem were obtained using the simple single region of interest (ROI) and multi-ROIs based on the anatomical knowledge. Results The posteroinferior insular point is the anterior extremity of intersection of the Heschl gyrus and the inferior limiting sulcus. On the inferior limiting sulcus, this point is the posterior limit of the optic radiation, and the temporal stem begins at the limen insulae and ends at the posteroinferior insular point. The distance from the limen insulae to the tip of the temporal horn is just one third the length of the temporal stem. The uncinate fasciculus comprises the core of the anterior temporal stem, behind which the anterior commissure and the inferior thalamic peduncle are located, and they occupy the anterior third of the temporal stem. The inferior occipitofrontal fasciculus passes through the entire temporal stem. The most anterior extent of the Meyer loop is located between the anterior tip of the temporal horn and the limen insulae. Most of the optic radiation crosses the postmedian two thirds of the temporal stem. Conclusions On the inferior limiting sulcus, the posteroinferior insular point is a reliable landmark of the posterior limit of the optic radiations. The limen insulae, anterior tip of the temporal horn, and posteroinferior insular point may be used to localize the white matter fibers of the temporal stem in analyzing magnetic resonance imaging or during surgery.

Virtual Reality (VR) in Pediatrics: Innovative Perspectives With Special Reference To Clinical Applications and Pediatric Rehabilitation

2021 ◽  
Author(s):  
Stefan Bittmann
Keyword(s):  
Virtual Reality ◽  
Virtual Environment ◽  
Virtual Worlds ◽  
Virtual World ◽  
Mixed Reality ◽  
Clinical Applications ◽  
Virtual Space ◽  
Data Glove ◽  
Input Devices ◽  
Head Mounted Displays

Virtual reality (VR) is the term used to describe representation and perception in a computer-generated, virtual environment. The term was coined by author Damien Broderick in his 1982 novel “The Judas Mandala". The term "Mixed Reality" describes the mixing of virtual reality with pure reality. The term "hyper-reality" is also used. Immersion plays a major role here. Immersion describes the embedding of the user in the virtual world. A virtual world is considered plausible if the interaction is logical in itself. This interactivity creates the illusion that what seems to be happening is actually happening. A common problem with VR is "motion sickness." To create a sense of immersion, special output devices are needed to display virtual worlds. Here, "head-mounted displays", CAVE and shutter glasses are mainly used. Input devices are needed for interaction: 3D mouse, data glove, flystick as well as the omnidirectional treadmill, with which walking in virtual space is controlled by real walking movements, play a role here.

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