Contrast improvement of continuous wave diffuse optical tomography reconstruction by hybrid approach using least...

Area of Science:

• Biomedical Optics
• Medical Imaging
• Computational Imaging

Background:

• Accurate reconstruction of tissue absorption coefficients is crucial for functional diffuse optical imaging.
• Enhancing image contrast is essential for reliable functional diffuse optical tomography (fDOT).

Purpose of the Study:

• To develop and validate a hybrid model-based iterative image reconstruction and genetic algorithm approach.
• To improve the contrast and accuracy of reconstructed absorption coefficients in fDOT.

Main Methods:

• A hybrid reconstruction method combining model-based iterative algorithms and genetic algorithms.
• Experimental validation using tissue-like phantoms.
• Application to finger joint imaging for clinical diagnosis.

Main Results:

• Achieved an observed contrast of 98.4%.
• Reported a mean square error of 0.638×10⁻³.
• Demonstrated low object centroid error ranging from 0.001 to 0.22 mm.
• Showcased significant improvements in image quality compared to existing methods.

Conclusions:

• The proposed hybrid method effectively enhances image contrast and accuracy in fDOT.
• The technique holds significant potential for clinical applications, including diagnosis and quantitative measurements in turbid media.
• Validated through phantom experiments and a case study on finger joint imaging.