Staff

Staff Detail: Takayuki OKAMOTO

Profile

okamoto_image
Name:
Takayuki OKAMOTO
Title:
Assistant Professor 
Degree:
Ph.D. 
Keyword:
Micro-computed tomography (micro-CT), X-ray imaging, image reconstruction, medical imaging engineering, optical coherence tomography (OCT) 
E-Mail:
t_okamoto[at]chiba-u.jp 

Research Subject

Micro-CT System Development

Micro X-ray computed tomography (micro-CT) is a high-resolution imaging modality that enables three-dimensional visualization of microscopic structures beyond the resolving capability of clinical CT and the human eye. While micro-CT has been broadly adopted for non-destructive inspection in industrial settings, its biomedical engineering applications are rapidly expanding, particularly for ex vivo specimens such as excised organs and histopathological tissue samples. My research aims to accelerate these biomedical applications by advancing the entire micro-CT pipeline, from simulation-driven system design to imaging hardware implementation and system-level optimization, development of reconstruction algorithms, and quantitative analysis of acquired micro-CT datasets. By co-optimizing hardware and computational methods, I strive to achieve task-specific image quality and measurement accuracy, ultimately establishing a robust metrology platform for reliable three-dimensional assessment of microstructures.

Medical Image Analysis Technologies

Optical coherence tomography (OCT) is an indispensable tool in ophthalmology, providing non-invasive, high-resolution visualization of laminar structures in the posterior eye, including the retina and choroid. My research, in close collaboration with Chiba University Hospital, focuses on developing automated image analysis methods that accurately segment clinically relevant layer boundaries and vascular structures from OCT images. My research further aims to establish reproducible quantitative assessments by developing robust metrics, including thickness measurements and morphology-based biomarkers, and by translating these methods into applications for disease characterization and computer-aided diagnosis. Through these efforts, my research seeks to deepen mechanistic understanding of ocular diseases and to contribute to objective, quantitative foundations for clinical decision support.

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