• Korean Journal of Radiology
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• v.23 no.1
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• pp.150-152
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• 2022

• Korean Journal of Radiology
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• v.21 no.10
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• pp.1126-1137
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• 2020

Imaging plays a key role in the management of brain tumors, including the diagnosis, prognosis, and treatment response assessment. Radiomics and deep learning approaches, along with various advanced physiologic imaging parameters, hold great potential for aiding radiological assessments in neuro-oncology. The ongoing development of new technology needs to be validated in clinical trials and incorporated into the clinical workflow. However, none of the potential neuro-oncological applications for radiomics and deep learning has yet been realized in clinical practice. In this review, we summarize the current applications of radiomics and deep learning in neuro-oncology and discuss challenges in relation to evidence-based medicine and reporting guidelines, as well as potential applications in clinical workflows and routine clinical practice.

• Investigative Magnetic Resonance Imaging
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• v.22 no.3
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• pp.187-193
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• 2018

Sweet's syndrome also known as acute neutrophilic dermatosis is a multisystem inflammatory disorder characterized by fever, malaise, leukocytosis, and skin lesions. Sweet's syndrome affects multiple organs though only rarely does it affect the central nervous system (CNS) when it does it is called Neuro-Sweet disease (NSD). We report on a case study of a biopsy-proven NSD in a 50 year old man. Serial magnetic resonance imaging (MRI) showed repeated CNS involvement of Sweet's syndrome after a respiratory tract infection preceded it. On the MRI, T2 hyperintense lesions occurred at multiple sites and disappeared after steroid therapy.

• Journal of the Korean Society of Radiology
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• v.17 no.7
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• pp.1165-1170
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• 2023

In this study, we aimed to develop a cost-effective neuro-modulation device for use in neuroscientific and clinical medical imaging applications. To achieve this, we designed and fabricated a brain neuro-modulation device with a material cost of less than $500, and subsequently evaluated its performance. The measured performance was found to be comparable to existing medical devices (TENS), with the developed device being compact in size, measuring less than 3 cm by 3 cm. The outcomes of this study are expected to be applicable in accelerating research and development in related fields, as well as in the rapid commercialization of neuro-modulation technology. Furthermore, it is anticipated that this work will contribute to advancements in functional radiological medical imaging technology and enhance accessibility to brain science and brain stimulation technology.

• The Korean Journal of Nuclear Medicine
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• v.38 no.2
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• pp.161-170
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• 2004

Molecular Nuclear Neuro-Imaging in "CNS" drug discovery and development tan be divided into four categories that are clearly inter-related.(1) Neuroreceptor mapping to examine the involvement of specific neurotransmitter system in CNS diseases, drug occupancy characteristics and perhaps examine mechanisms of action;(2) Structural and spectroscopic imaging to examine morphological changes and their consequences;(3) Metabolic mapping to provide evidence of central activity and "CNS fingerprinting" the neuroanatomy of drug effects;(4) Functional mapping to examing disease-drug interactions. In addition, targeted delivery of therapeutic agents could be achieved by modifying stem cells to release specific drugs at the site of transplantation('stem cell pharmacology'). Future exploitation of stem cell biology, including enhanced release of therapeutic factors through genetic stem cell engineering, might thus constitute promising pharmaceutical approaches to treating diseases of the nervous system. With continued improvements in instrumentation, identification of better imaging probes by innovative chemistry, molecular nuclear neuro-imaging promise to play increasingly important roles in disease diagnosis and therapy.

• Journal of Yeungnam Medical Science
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• v.15 no.2
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• pp.306-315
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• 1998

MR findings in nine patients(three female, six male) with neuro-Behcet's disease were retrospectively analyzed. NeuroBehcet's disease was diagnosed on the basis of typical clinical symptoms. Involved site, pattern, signal intensity, and contrast enhancement pattern on MRI were evaluated. In addition, follow up MR imaging was performed in four patients. The midbrain(7/9), internal capsule(7/9), pons(6/9), thalamus(6/9), basal ganglia (5/9), middle cerebella peduncle(4/9), medulla oblongata(2/9), and subcortical white matter(2/9) are involved on MRI. The size of lesions was 1cm to 3cm and their margin was ill-defined and patchy. Inhomogeneous high signal intensity on the T2-weighted images and low signal intensity on T1-weighted images was seen respectively. In four of nine cases, there was focal enhancement. On follow up MR imaging, improvement or recurrance of the lesions was found. Also in two cases of follow up cases, there was artophy in brainstem and(or) middle cerebellar peduncles. In conclusion, MR imaging with systemic clinical symptoms is useful for diagnosing neuro-Behcet's disease.

• Bulletin of the Korean Chemical Society
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• v.35 no.8
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• pp.2304-2310
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• 2014

The synthesis and in vivo evaluation of 5-methoxy-2-(phenylethynyl)quinoline (MPEQ) 3 as a potential mGluR5 selective radioligand is described. We have identified MPEQ 3 exhibiting the analgesic effect in the neuropathic pain animal model. The effect of mGluR5 on neuronal activity in rat brain was evaluated through FDG/PET imaging in the presence of MPEQ 3. In addition, the PET study of [$^{11}C$]MPEQ 3 proved that accumulation of [$^{11}C$]MPEQ 3 in rat brain was correlated to the localization of the mGluR5.

• Proceedings of the KSMRM Conference
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• 2004.09a
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• pp.67-67
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• 2004

• Annals of Clinical Neurophysiology
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• v.17 no.1
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• pp.38-40
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• 2015

• Advances in robotics research
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• v.1 no.2
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• pp.155-169
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• 2014

Study results in the last decades show that amount and quality of physical exercises, then the active participation, and now the cognitive involvement of patient in rehabilitation training are known of crux to enhance recovery outcome of motor dysfunction patients after stroke. Rehabilitation robots mainly have been developing along this direction to satisfy requirements of recovery therapy, or focusing on one or more of the above three points. Therefore, neuro-machine interaction based active rehabilitation robot has been proposed for assisting paralyzed limb performing designed tasks, which utilizes motor related EEG, UCSDI (Ultrasound Current Source Density Imaging), EMG for rehabilitation robot control and feeds back the multi-sensory interaction information such as visual, auditory, force, haptic sensation to the patient simultaneously. This neuro-controlled and perceptual rehabilitation robot will bring great benefits to post-stroke patients. In order to develop such kind of robot, some key technologies such as noninvasive precise detection of neural signal and realistic sensation feedback need to be solved. There are still some grand challenges in solving the fundamental questions to develop and optimize such kind of neuro-machine interaction based active rehabilitation robot.