Ultrafast and Ultrahigh-Resolution Diffuse Optical Tomography for Brain Imaging with Sensitivity Equation based...

Area of Science:

• Biomedical optics
• Medical imaging
• Computational imaging

Background:

• Diffuse optical tomography (DOT) is a promising non-invasive imaging modality.
• Current DOT methods face challenges in achieving high spatial resolution and real-time imaging speeds, particularly for dynamic brain activity monitoring.

Purpose of the Study:

• To introduce a novel, fast, and high-resolution image reconstruction method for time-resolved DOT.
• To enable real-time DOT for imaging brain activity with unprecedented detail.

Main Methods:

• Developed the Sensitivity Equation based Noniterative Sparse Optical Reconstruction (SENSOR) method.
• Implemented an asymptotic l0-norm operator for sparse target representation, enhancing spatial resolution.
• Utilized a nontruncated sensitivity equation, reduced sensing matrix, and parallel computing for high computational speed.

Main Results:

• Achieved submillimeter spatial resolution (1 mm3) in optical tomographic imaging.
• Demonstrated imaging capability at a depth of approximately 60 mean free paths (MFPs).
• Reconstruction time was significantly reduced to 20-30 milliseconds on an Intel Core i9 processor.

Conclusions:

• The SENSOR method offers a breakthrough in DOT, providing high-resolution, real-time imaging.
• This advancement has the potential to revolutionize the study of brain activity and other biomedical applications.