What is Medical Imaging Laboratory Computing?

Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine.

What is segmentation medical imaging?

Medical image segmentation, essentially the same as natural image segmentation, refers to the process of extracting the desired object (organ) from a medical image (2D or 3D), which can be done manually, semi-automatically or fully-automatically.

How are computers used in medical imaging?

Computers play a major role in bridging the gap between image generation and patient care by providing enhanced images that better meet the needs of referring physicians. Spiral computed tomography allows generation of three-dimensional images that are not affected by motion artifact.

What is atlas based registration?

Registration with an atlas is a method to recognize and label structures that is used especially for the analysis of medical images. Its application to images containing many objects, such as images of the human abdomen, may prove to be very challenging.

What are four different types of image processing methods?

Common image processing include image enhancement, restoration, encoding, and compression.

Why image processing is required?

Benefits of Image Processing It helps to improve images for human interpretation. Information can be processed and extracted from images for machine interpretation. The pixels in the image can be manipulated to any desired density and contrast. Images can be stored and retrieved easily.

Why do we need image registration?

Image registration is a key step in a great variety of biomedical imaging applications. It provides the ability to geometrically align one dataset with another, and is a prerequisite for all imaging applications that compare datasets across subjects, imaging modalities, or across time.