Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Here  propose a novel method to compute Teichmuller shape space based shape index to study brain morphometry. Such a shape index is intrinsic, and invariant under conformal transformations, rigid motions and scaling.  conformally map a genus-zero open boundary surface to the Poincare disk with the Yamabe flow method. The shape indices that  compute are the lengths of a special set of geodesics under hyperbolic metric. Tests on longitudinal brain imaging data re used to demonstrate the stability of the derived feature vectors. In leave-one-out validation tests,  achieved 100% accurate classification (versus only 68% accuracy for volume measures) in distinguishing 11 HIV/AIDS individuals from 8 healthy control subjects, based on Teichmuller coordinates for lateral ventricular surfaces extracted from their 3D MRI scans.
['Yalin Wang', 'Wei Dai', 'Xianfeng Gu', 'Tony F. Chan', 'Shing Tung Yau', 'Arthur W. Toga', 'Paul M. Thompson']
I am writing a research paper on a idea Teichmüller Shape Space Theory and Its Application to Brain Morphometry
[{"from": "human", "value": "I am writing a research paper on a idea Teichm\u00fcller Shape Space Theory and Its Application to Brain Morphometry"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Here  propose a novel method to compute Teichmuller shape space based shape index to study brain morphometry. Such a shape index is intrinsic, and invariant under conformal transformations, rigid motions and scaling.  conformally map a genus-zero open boundary surface to the Poincare disk with the Yamabe flow method. The shape indices that  compute are the lengths of a special set of geodesics under hyperbolic metric. Tests on longitudinal brain imaging data re used to demonstrate the stability of the derived feature vectors. In leave-one-out validation tests,  achieved 100% accurate classification (versus only 68% accuracy for volume measures) in distinguishing 11 HIV/AIDS individuals from 8 healthy control subjects, based on Teichmuller coordinates for lateral ventricular surfaces extracted from their 3D MRI scans."}]