Uk-Su Choi

De-Identification of Magnetic Resonance Imaging to Protect Patient Privacy in Research Use: A Comprehensive Review

Seonguk Kang, Junbeom Jang, Uk-Su Choi, Jeong‐Ho Hong et autres

OBJECTIVES: Brain magnetic resonance imaging (MRI) contains identifiable facial and cranial features, creating privacy risks that can limit secondary research use. This review examines current MRI de-identification technologies, quantitative validation methods, and governance frameworks to identify practical strategies for preserving data utility …

kr (code pays fourni par la source)

Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation

Uk-Su Choi, Sachiko Kiyama, Yul-Wan Sung, Masaki Fukunaga et autres

The hypothalamus is a central regulator of neuroendocrine function and social behavior, yet its internal organization has remained difficult to examine in vivo in human neurodevelopmental research. Based on neuroendocrine models, we hypothesized that anterior hypothalamic subunits enriched in magnocellular neurosecretory nuclei-approximating …

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Coil Sensitivity–Guided Denoising of Non–Brain-Origin Fluctuations in fMRI

Yul-Wan Sung, Masaki Fukunaga, Uk-Su Choi, Yuko Kawai et autres

Noise suppression is essential for improving the reliability of functional MRI (fMRI), particularly at ultra-high field strengths where system- and receiver-related fluctuations become prominent. We introduce a hardware-informed denoising method, Coil Sensitivity Filter (CsFilter), which exploits spatial sensitivity relationships among receiver coil …

jp (code pays fourni par la source)

Associations Between Anterior Hypothalamic Subunits and ADHD and Autistic Traits Revealed by Deep Learning MRI Segmentation

Uk-Su Choi, S. Kiyama, Yul-Wan Sung, Masaki Fukunaga et autres

kr, jp (code pays fourni par la source)

Enhancing functional connectivity analysis in task-based fMRI using the BOLD-filter method: Greater network and activation voxel sensitivities

Yul-Wan Sung, Uk-Su Choi, Motoko Tanabe, Seiji Ogawa

Task-based functional MRI (tb-fMRI) has gained prominence for investigating brain connectivity by engaging specific functional networks during cognitive or behavioral tasks. Compared to resting-state fMRI (rs-fMRI), tb-fMRI provides greater specificity and interpretability, making it a valuable tool for examining task-relevant networks and …

jp, kr (code pays fourni par la source)

Enhancing Functional Connectivity Analysis in Task-Based fMRI Using the BOLD-Filter Method: Greater Network and Activation Voxel Sensitivities

Yul-Wan Sung, Uk-Su Choi, Motoko Tanabe, Seiji Ogawa

Abstract Task-based functional MRI (tb-fMRI) has gained prominence for investigating brain connectivity by engaging specific functional networks during cognitive or behavioral tasks. Compared to resting-state fMRI (rs-fMRI), tb-fMRI provides greater specificity and interpretability, making it a valuable tool for examining task-relevant networks …

jp, kr (code pays fourni par la source)

Enhancing Functional Connectivity Analysis of the Pituitary Gland Using Advanced Signal Extraction and Noise Reduction Techniques

Yul-Wan Sung, Uk-Su Choi, Masaki Fukunaga, Seiji Ogawa

The pituitary gland is a critical endocrine organ that regulates numerous vital bodily functions, including growth, metabolism, reproduction, and stress response. Disorders of the pituitary gland can lead to significant clinical symptoms due to hormone imbalances or structural abnormalities. While previous studies …

jp, kr (code pays fourni par la source)

SNR comparison between Loop and Sleeve antennas for human head arrays at 10.5T

Myung Kyun Woo, Uk-Su Choi, Lance J. DelaBarre, Matt Waks et autres

Motivation: To explore the SNR performance of Loop and Sleeve antennas for multi-channel human head imaging at 10.5T. Goal(s): Validation of achievable receive performance of loop and sleeve antennas with same number of channels. Approach: Simulation based analysis of SNR between loop …

Altered association of cortical thickness with cognitive abilities in very preterm children at 6 years of age

Hye-Jin Jeong, Uk-Su Choi, Sehee Shim

Motivation: Very preterm children have a risk of impaired cognitive function mediated by several risk factors. The association between structural alteration and high-order cognitive function remains unclear. Goal(s): Very preterm children at 6 years old showed significant differences in cortical thickness associated …

Extraction of apparent BOLD components in resting state fMRI signals by a novel method called “BOLD-filter”

Yul‐Wan Sung, Uk-Su Choi, Seiji Ogawa

jp, kr (code pays fourni par la source)

deepPGSegNet: MRI-based pituitary gland segmentation using deep learning

Uk-Su Choi, Yul‐Wan Sung, Seiji Ogawa

Introduction: In clinical research on pituitary disorders, pituitary gland (PG) segmentation plays a pivotal role, which impacts the diagnosis and treatment of conditions such as endocrine dysfunctions and visual impairments. Manual segmentation, which is the traditional method, is tedious and susceptible to …

kr, jp (code pays fourni par la source)

Association between cortical thickness and cognitive ability in very preterm school-age children

Uk-Su Choi, So‐Yeon Shim, Hye Jung Cho, Hye-Jin Jeong

Very preterm children, born before 32 weeks of gestation, are at risk for impaired cognitive function, mediated by several risk factors. Cognitive impairment can be measured by various neurodevelopmental assessments and is closely associated with structural alterations of brain morphometry, such as …

kr (code pays fourni par la source)