Image Processing is a prominent tool which supports medical experts to probe in effectively with their diagnosis and prognosis procedures. Imaging human body have been developed prominently in the last two decades and had aided many decision support systems. This had also proved in curing multiple diseases which was a challenge in the past. Imaging is done in human body at various modalities and is categorized based on images produced. Ultrasound Imaging, Magnetic Resonance Imaging, X-Rays, Computed Tomography, Positron Emission Tomography and Single Emission Photon Emission Computed Tomography are the mostly utilized medical imaging modalities. They play a vital role in supporting medical experts with high precision accuracy in visualizing the internal organs and tissues. In imaging, artefacts are a major issue in capturing the expected image and position of the organ or tissue or a cell in the human body. For accurate diagnosis, lucid imaging details of the region of interest are required to read the minute details of the affected organ/cell/tissue. Researchers have contributed multiple noise filtering algorithms and some of the algorithms are accommodated with the imaging system. This will provide a filtered image thereby aiding the medical experts with clear picture in diagnosing the disease from the region of interest. The boom of Artificial Intelligence is a dominant support in future medical imaging modalities as it is surpassing the critics in the current time. It has the capability to process enormous quantity of medical images with high precision and accuracy and with fine details that are invisible in naked eyes. The roaring development of Artificial Intelligence in medical imaging will provide medical experts with value added task and will thereby enhance patient interaction times.

• Medical Imaging
• Radiology
• Artefacts
• X-Rays
• CT
• PET
• Ultrasound
• MRI
• Fluroscopy
• Imaging modalities
• Artificial Intelligence in medical imaging

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