Global-Leading Research and Education in Brain and Cognitive engineering KOREA UNIVERSITY To understand the structure and the key principles of high-order information processing by which brains work,
and to implement these in artificial systems that interact intelligently with real world

Research Highlight

Research
Prof. Jaeseok Park`s paper published in NeuroImage
Author Administrator (IP: *.152.163.70) Date 2012-05-18 02:31 Views 535
원본사진보기

Prof. Jaeseok Park`s new research on `Susceptibility-Resistant Variable-Flip-Angle Turbo Spin Echo Imaging for Reliable Estimation of Cortical Thickness: A Feasibility Study` was published in NeuroImage

In this paper, a novel magnetic resonance imaging pulse sequence was developed as an alternative to  conventional imaging methods for brain morphological studies that yield inaccurate estimation of cortical thickness resulting from susceptibility-induced signal loss and artifacts. The proposed technique was demonstrated as a potential solution to reliably estimate cortical thickness, and is expected to broaden a range of applications in neuroimaging studies.

Title: Susceptibility-Resistant Variable-Flip-Angle Turbo Spin Echo Imaging for Reliable Estimation of Cortical Thickness: A Feasibility Study

Please refer to the following title and abstract.

Abstract:
The thickness of the human cerebral cortex, which provides valuable information in the studies of normal and abnormal neuroanatomy, is commonly estimated using high-resolution, volumetric magnetization-prepared rapid gradient echo (MP-RAGE) magnetic resonance imaging due to its strong T1-weighted contrast and high signal-to-noise ratio. However, the accuracy of cortical thickness estimates using MP-RAGE is potentially contaminated by susceptibility-induced signal loss particularly at regions in close proximity to air-filled cavities.

The purpose of this work is to investigate the feasibility of susceptibility-resistantvariable-flip-angle(VFA)three-dimensionalturbo/fast spin echo-imaging for reliable estimation of cortical thickness of the human brain, wherein 1) radio-frequency (RF) pulse refocuses susceptibility-induced spin de-phasing, 2) the VFA refocusing pulse train is applied for a tissue-specific prescribed signal evolution along the echo train, 3) the desired T1-weighted contrast is achieved by composite restore pulses at the end of the refocusing pulse train, and 4) blood signals are suppressed using the VFA scheme combined with increasing moments of flow-sensitizing gradients while dura mater signals are attenuated due to short T2 relaxation time, which alleviates potential failure in brain segmentation. Numerical simulations of the Bloch equation are performed in both MP-RAGE and the proposed method for comparison. In vivo studies are performed in 14 healthy volunteers at 3 T. Image processing is then performed using the Freesurfer, resulting in mean and standard deviations of cortical thickness for the entire cortical surfaces. Statistical analysis demonstrates that particularly in the inferior prefrontal and temporal regions heavily affected by susceptibility-induced signal loss conventional MP-RAGE, if compared with the proposed method, significantly under-estimates cortical thickness. It is expected that the proposed pulse sequence, which is resistant to susceptibility-induced signal loss and attenuates the signal intensity of blood and dura mater, can be a potentially promising alternative to conventional MP-RAGE in reliably estimating cortical thickness for the entire brain.

 

File re_img.gif(7.3K)


Research
Prof. Seong-Whan Lee`s paper published in Pattern Recognition
Prof. Seong-Whan Lee`s paper published in Pattern Recognition
Prof. Seong-Whan Lee’s new research on `Adaptive Occlusion State Estimation for Human Pose Tracking under Self-Occlusions` was accepted in Pattern Recognition (IF top 10%) In this paper, they proposed a method to solve self-occlusion problem in 3D human pose tracking. They modeled an “occlusion relationship (= state)” between human body parts as a graph and proposed a novel “adaptive occlusion state estimation” method, which infer human body con…

2012-10-25

Prof. Seong-Whan Lee`s paper published in Pattern Recognition
Prof. Seong-Whan Lee`s paper published in Pattern Recognition
Prof. Seong-Whan Lee’s new research on `Person Authentication from Neural Activity of Face-Specific Visual Self-Representation` was accepted in Pattern Recognition (IF top 10%) This paper has been contributed to EEG based new biometric system construction based on the neurophysiological features of face-specific visual self representation in a human brain. In particular, unlike previous methods that considered the brain activities of the resting state,…

2012-10-25

Prof. Jae-Ho Han’s paper published in IEEE Journal of Selected Topics in Quantum Electronics
Prof. Jae-Ho Han’s paper published in IEEE Journal of Selected Topics in Quant…
Prof. Jaeho Han’s new research on `Dichloromethane Detection Based on Near Infrared Absorptive Sensing` was published in IEEE Journal of Selected Topics in Quantum Electronics. This paper demonstrated a biophotonic near-infrared sensor using a tunable fiber ring laser based on an absorption spectroscopic method. A continuous wave near-infrared source operating in the C-band wavelength range has been developed and the Sagnac loop mirror, which operates a…

2012-08-10

Prof. Jichai Jeong`s paper published in Journal of Lightwave Technology
Prof. Jichai Jeong`s paper published in Journal of Lightwave Technology
Prof. Jichai Jeong’s new research on ‘DFT-Precoded Coherent Optical OFDM with Hermitian Symmetry for Fiber Nonlinearity Mitigation’ was published in Journal of Lightwave Technology

2012-08-10

Prof. Anil Jain`s paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence
Prof. Anil Jain`s paper published in IEEE Transactions on Pattern Analysis and M…
Prof. Anil Jain’s new research on `Altered Fingerprints: Analysis and Detection` was published in IEEE Transactions on Pattern Analysis and Machine Intelligence (IF top 1%)

2012-08-10

Prof. Jeehyun Kwag’s paper published in Neuropharmacology
Prof. Jeehyun Kwag’s paper published in Neuropharmacology
Prof. Jeehyun Kwag’s new research on `Gating of NMDA Receptor-Mediated Hippocampal Spike Timing-Dependent Potentiation by MGluR5` was published in Neuropharmacology This paper demonstrates that the timing long-term poten hippocampal synapses. The induction of tLTP was blocked antagonist and by the selective mGluR5 blockers, MPEP(2 ((2-Methyl-4-thiazolyl)ethynyl)pyridine), whereas the activation of Dihydroxyphenylglycine(DHPG) facilitated the induction …

2012-08-10

Prof. Seong-Whan Lee awarded the
Prof. Seong-Whan Lee awarded the "Scientist of the Month Award"
Professor Seong-Whan Lee of the Korea University received the Scientist of the Month Award from the Ministry of Education, Science and Technology (Minister Jooho Lee) and the National Research Foundation of Korea (President Seungjong Lee) for developing the ingenious technology that a computer can automatically recognize the human sign language and facial expressions, etc. Professor Lee is a renowned scholar in the field of pattern recognition techniques…

2012-05-18

Prof. Seong-Whan Lee’s paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence
Prof. Seong-Whan Lee’s paper published in IEEE Transactions on Pattern Analysi…
Prof. Seong-Whan Lee’s new research on `A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces` was accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (IF top 1%) This paper receives credit for contribution by proposing a framework which can train and optimize spatio-spectral filter simultaneously for classifying EEG signals generated by motor imageries. In the framework, the problem of sim…

2012-05-18

Prof. Alan Yuille’s paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence
Prof. Alan Yuille’s paper published in IEEE Transactions on Pattern Analysis a…
Prof. Alan Yuille’s new research on `Recursive Segmentation and Recognition Templates for Image Parsing` was accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (IF top 1%) In this paper, they proposed a Hierarchical Image Model (HIM) which parses images to perform segmentation and object recognition. The HIM represents the image recursively by segmentation and recognition templates at multiple levels of the hierarchy. The HIM ha…

2012-05-18

Prof. Jaeseok Park`s paper published in NeuroImage
Prof. Jaeseok Park`s paper published in NeuroImage
Prof. Jaeseok Park`s new research on `Susceptibility-Resistant Variable-Flip-Angle Turbo Spin Echo Imaging for Reliable Estimation of Cortical Thickness: A Feasibility Study` was published in NeuroImage In this paper, a novel magnetic resonance imaging pulse sequence was developed as an alternative to  conventional imaging methods for brain morphological studies that yield inaccurate estimation of cortical thickness resulting from susceptibility-ind…

2012-05-18

 1 2 3 4 5 6 7 8 9