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Course Discription |
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Quantitative imaging provides clinicians with more accurate picture of disease state by applying algorithms, that precisely measure various aspects of an abnormality in medical images to allow clinicians to extract quantitative information from images in an effort to help identify disease earlier, predict prognosis, and assess treatment efficacy as well. So, this course is planned to offer the student with the various image processing and analysis methods commonly used in medical imaging applications such as image smoothing, spatial co-registration, normalization, segmentation, and fusion. Furthermore, different quantitative analysis methods such as region of interest, volume of interest, histogram-based analysis, voxel-based morphometry will also be covered in this course |