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Published on: November 21, 2019
A True Multi-modality Approach for High Resolution Optical Imaging: Photo-Magnetic Imaging
Alex T Luk1, Seunghoon Ha1, Farouk Nouizi1
1Tu and Yuen Center for Functional Onco-Imaging and Department of Radiological Sciences, University of California Irvine, Irvine, CA, United States.
Photo-Magnetic Imaging (PMI) offers quantitative optical absorption maps with MRI resolution. This multi-modality approach uses laser-induced temperature changes measured by MR thermometry, enabling new diagnostic possibilities.
Area of Science:
- Biomedical Imaging
- Optical Imaging
- Magnetic Resonance Imaging
Background:
- Multi-modality imaging combines strengths of different systems for enhanced resolution and accuracy.
- Photo-Magnetic Imaging (PMI) is a novel technique providing quantitative optical absorption maps at MRI resolution.
Purpose of the Study:
- To present Photo-Magnetic Imaging (PMI) as a multi-modality imaging approach.
- To demonstrate PMI's capability for quantitative optical absorption mapping with high spatial resolution.
- To highlight PMI's potential for in vivo and clinical applications, particularly breast cancer imaging.
Main Methods:
- Utilizes laser illumination to induce localized tissue heating.
- Employs MR thermometry to measure laser-induced temperature variations with high spatial resolution.
- Applies a finite element-based inverse solver, modeling photon migration and heat diffusion, to convert temperature maps into tissue absorption maps.
Main Results:
- Demonstrated feasibility of PMI through phantom studies.
- Successfully reduced laser power to meet ANSI limits for safe in vivo imaging.
- Developing multi-wavelength imaging capability to resolve chromophores and exogenous contrast agents.
Conclusions:
- PMI is a viable multi-modality imaging technique offering quantitative optical absorption data at MRI resolution.
- PMI has been optimized for in vivo applications and is being expanded with multi-wavelength capabilities.
- PMI shows significant translational potential for applications such as breast cancer imaging.
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