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--- vigil:research:ongoing_projects [2016/08/12 13:16]
saurabh.shigwan [Statistical Shape Analysis with Applications in Medical Image Computing]
+++ vigil:research:ongoing_projects [2022/09/04 17:17] (current)
sharat
@@ Line 1: / Line 1: @@
-====== Ongoing Research ======
+====== Ongoing Research (Not Frequently Updated! See Individual web pages) ======
-===== Statistical Shape Analysis with Applications in Medical Image Computing =====
-Over the last few decades, clinical healthcare decisions relating to diagnosis, treatment, and therapy have continued to increasingly rely on noninvasive technologies like medical imaging.
-Medical imaging technologies evolve over time, leading to newer techniques that interrogate the anatomy to extract more complex information. \\
-This entails advances in algorithms for image processing and visualizing the processed image information.\\
-Medical imaging is also an important scientific tool in collecting structural and functional data to better understand several complex and debilitating disorders, \\
-such as those affecting the brain, heart, or lungs, including cancer. Scientific studies are increasingly relying on imaging and quantitative image analysis in large populations as \\
-a less-subjective, more-reproducible, and more- scalable way of understanding the effects of (i) a disorder or (ii) a treatment strategy.
-**Shape analyses** are important in a range of applications in medicine, biology, and computer vision.
-Shape analysis entails learning statistical models of shapes of anatomical structures from population data and subsequent statistical analyses, e.g., hypothesis testing or classification. \\
-They provide information on the mean shape underlying a population group, the principles modes of variation of shape within the group,\\
-and the differences between the mean shapes and variabilities between groups. \\
-Examples of anatomical structures whose shape analysis holds important clues about the brain function include the subcortical structures.