RESEARCH
# Research at MAS LabMAS Lab develops multimodal acoustic systems that bridge biomedical imaging, radiation science, and computational imaging. Our central question is simple: how can energy deposition and acoustic propagation be converted into reliable, quantitative information about biological systems?
MAS Lab의 연구는 “어떤 에너지가 조직에 전달되고 → 어떤 음향신호가 발생하며 → 그 신호에서 어떤 정량 정보를 복원할 수 있는가?”라는 공통 질문에서 출발합니다. 하드웨어부터 재구성, AI, 생체 응용까지 하나의 imaging pipeline으로 연결합니다.
We develop acoustic and hybrid imaging platforms that provide structural, functional, and molecular information. Topics include 3D volumetric imaging, multimodal acquisition, high-speed scanning, spectral imaging, system optimization, and quantitative analysis.
학생 연구 예시: 광음향/초음파 시스템 제작, 3D 재구성, 혈관 segmentation, 산소포화도 분석, 약물·조영제 biodynamics, 질환 모델 모니터링.
We investigate acoustic waves generated by ionizing-radiation energy deposition. Our interests include X-ray/radiation acoustic imaging, real-time dosimetry, high-sensitivity detection, system synchronization, physics-based simulation, and reconstruction under low-SNR conditions.
학생 연구 예시: 방사선-음향 신호 검출, X-ray/radiotherapy 실험, Monte Carlo/음향 시뮬레이션, 저 SNR 신호 향상, 3D 선량 영상화.
We combine model-based imaging physics with deep learning for image reconstruction, artifact reduction, denoising, segmentation, multimodal registration, uncertainty estimation, and quantitative biomarker extraction.
학생 연구 예시: PyTorch 기반 reconstruction/segmentation, physics-informed learning, 2D/3D 의료영상 분석, CUDA/GPU 가속, multimodal image translation.
We engineer and apply imaging and acoustic-stimulation protocols to quantify cerebrovascular and fluid dynamics, oncology, pharmacokinetics, disease progression, treatment response, neuromodulation, and rehabilitation outcomes. The aim is not only to make images or deliver stimulation, but to optimize physical parameters and derive repeatable biomarkers of biological response.
응용 방향: 뇌혈관·뇌척수액, 종양 미세환경, 약물전달, 치료 반응을 반복 영상화하고, 초음파의 주파수·강도·펄스 조건에 따른 신경자극 및 재활 반응을 정량 비교하여 새로운 바이오마커를 발굴·검증합니다.
REPRESENTATIVE WORK
The images below are reproduced or adapted from representative publications and are linked to the original articles.
Whole-body PACT tracks CSF transport, anesthesia-dependent efflux, and impaired clearance in an Alzheimer’s disease mouse model.
Nature Communications ↗ Figure adapted from Choi et al., Nature Communications 17, 2677 (2026), CC BY 4.0.
Deep generative reconstruction restores structural and functional information from substantially reduced ultrasound-element sampling.
Advanced Science ↗ Figure adapted from Jeong et al., Advanced Science 13, e13624 (2026), CC BY 4.0.
Whole-brain PACT visualizes cerebrovascular remodeling and vessel-specific oxygenation changes following photothrombotic stroke.
Advanced Science ↗ Figure adapted from Kim et al., Advanced Science 12, 2409361 (2025), CC BY 4.0.
Continuous rotary scanning extends tomographic coverage for high-resolution structural, functional, and pharmacokinetic small-animal imaging.
Laser & Photonics Reviews ↗
Longitudinal structural, oxygenation, and pharmacokinetic measurements characterize tumor progression and metastasis in living mice.
ACS Nano ↗ Figure reproduced from Kim et al., ACS Nano 18, 18176-18190 (2024), CC BY-NC-ND 4.0.
XFEL excitation enables micron-scale X-ray-induced acoustic microscopy and demonstrates the feasibility of a new X-ray acoustic regime.
Photoacoustics ↗ Figure reproduced from Choi et al., Photoacoustics 35, 100587 (2024), CC BY-NC-ND 4.0.
A 3D progressive U-Net recovers limited-view volumetric information and enables high-speed structural, functional, and contrast-enhanced imaging.
Advanced Science ↗
Contrast-enhanced XACT demonstrates volumetric in situ small-animal imaging and establishes a route toward biomedical X-ray acoustic applications.
Optics Letters ↗ Figure reproduced from Choi et al., Optics Letters 47, 90-93 (2022).COLLABORATIVE RESEARCH
MAS Lab grows through project-level collaborations across biomedical imaging, radiology, nuclear medicine, nanotechnology, neuroscience, rehabilitation, and translational science.
국내외 연구진과의 공동연구를 통해 영상 시스템 개발부터 AI, 전임상·임상 검증까지 연구 범위를 확장합니다.
Institution names indicate research relationships or networks at the project/researcher level and do not imply institutional endorsement.