Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Diffusion magnetic resonance imaging (dMRI) and tractography provide means to study the anatomical structures within the white matter of the brain. When studying tractography data across subjects, it is usually necessary to align, i.e. to register, tractographies together. This registration step is most often performed by applying the transformation resulting from the registration of other volumetric images (T1, FA). In contrast with registration methods that "transform" tractographies, in this work,  try to find which streamline in one tractography correspond to which streamline in the other tractography, without any transformation. In other words,  try to find a "mapping" beten the tractographies.  propose a graph-based solution for the tractography mapping problem and  explain similarities and differences with the related ll-known graph matching problem. Specifically,  define a loss function based on the pairwise streamline distance and reformulate the mapping problem as combinatorial optimization of that loss function.  show preliminary promising results where  compare the proposed method, implemented with simulated annealing, against a standard registration techniques in a task of segmentation of the corticospinal tract.
['Thien Bao Nguyen', 'Emanuele Olivetti', 'Paolo Avesani']
I am writing a research paper on a idea Mapping Tractography Across Subjects
[{"from": "human", "value": "I am writing a research paper on a idea Mapping Tractography Across Subjects"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Diffusion magnetic resonance imaging (dMRI) and tractography provide means to study the anatomical structures within the white matter of the brain. When studying tractography data across subjects, it is usually necessary to align, i.e. to register, tractographies together. This registration step is most often performed by applying the transformation resulting from the registration of other volumetric images (T1, FA). In contrast with registration methods that \"transform\" tractographies, in this work,  try to find which streamline in one tractography correspond to which streamline in the other tractography, without any transformation. In other words,  try to find a \"mapping\" beten the tractographies.  propose a graph-based solution for the tractography mapping problem and  explain similarities and differences with the related ll-known graph matching problem. Specifically,  define a loss function based on the pairwise streamline distance and reformulate the mapping problem as combinatorial optimization of that loss function.  show preliminary promising results where  compare the proposed method, implemented with simulated annealing, against a standard registration techniques in a task of segmentation of the corticospinal tract."}]