Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a fully automatic framework for cardiac motion tracking based on non-rigid image registration for the analysis of myocardial motion using both untagged and 3D tagged MR images.  detect and track anatomical landmarks in the heart and combine this with intensity-based motion tracking to allow accurately model cardiac motion while significantly reduce the computational complexity. A collaborative similarity measure simultaneously computed in three LA views is employed to register a sequence of images taken during the cardiac cycle to a reference image taken at end-diastole.  then integrate a valve plane tracker into the framework which uses short-axis and long-axis untagged MR images as ll as 3D tagged images to estimate a fully four-dimensional motion field of the left ventricle. © 2012 Springer-Verlag.
['Haiyan Wang', 'Wenzhe Shi', 'X. Zhuang', 'Simon Duckett', 'Kai-Pin Tung', 'Philip J. Edwards', 'Reza Razavi', 'Sebastien Ourselin', 'Daniel Rueckert']
I am writing a research paper on a idea Automatic cardiac motion tracking using both untagged and 3D tagged MR images
[{"from": "human", "value": "I am writing a research paper on a idea Automatic cardiac motion tracking using both untagged and 3D tagged MR images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a fully automatic framework for cardiac motion tracking based on non-rigid image registration for the analysis of myocardial motion using both untagged and 3D tagged MR images.  detect and track anatomical landmarks in the heart and combine this with intensity-based motion tracking to allow accurately model cardiac motion while significantly reduce the computational complexity. A collaborative similarity measure simultaneously computed in three LA views is employed to register a sequence of images taken during the cardiac cycle to a reference image taken at end-diastole.  then integrate a valve plane tracker into the framework which uses short-axis and long-axis untagged MR images as ll as 3D tagged images to estimate a fully four-dimensional motion field of the left ventricle. \u00a9 2012 Springer-Verlag."}]