MRI Information-based Correction and Restoration of photoacoustic Tomography: Review

Tomography is a method to get a series of detailed pictures of areas inside the body and Photoacoustic Tomography is a phenomenon in which ultrasound waves are generated by light absorbers in soft tissues exposed to a very short duration (r-nanoseconds) pulsed laser beam in the near-infrared (NIR) region (wavelengths 700 to 1000 nm). There are several Tomography methods such as MRI (Magnetic Resonance Imaging), CT (Computer Tomography), and PET (Positron Emission Tomography). We get noise because of scattering coefficient μs and we get image because of absorbing coefficient μa, We have discussed the Dual-modality method for precise and more detailed images for different diagnosis methods. Our primary focus in this paper is to rectify the LF (Light Fluence) function. All three methods that we used are based on LF correction. De-oxyhemoglobin (Hb) and Oxyhemoglobin (HbO2) are used for spectral Unmixing. Spectral un-mixing is the process in which the measured spectrum of each mixed pixel is decomposed into its constituent spectra. To get accurate results statistical methods have been used like SSE, SNR, Err, and CNR. In this paper, the MRI-OS method has been discussed. Also, PAT-CS and PAT-OS methods are briefly explained.