Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a new methodology for calculation of a 2D projection operator for emission tomography using a content-adaptive mesh model (CAMM). A CAMM is an efficient image representation based on adaptive sampling and linear interpolation, wherein non-uniform image samples are placed most densely in regions having fine detail.  have studied CAMM in recent years and shown that a CAMM is an efficient tool for data representation and tomographic reconstruction. In addition, it can also provide a unified framework for tomographic reconstruction of organs (e.g., the heart) that undergo non-rigid deformation. In this work  develop a projection operator model suitable for a CAMM representation such that it accounts for several major degradation factors in data acquisition, namely object attenuation and depth-dependent blur in detector-collimator response. The projection operator is calculated using a ray-tracing algorithm.  tested the developed projection operator by using Monte Carlo simulation for single photon emission tomography (SPECT). The methodology presented here can also be extended to transmission tomography.
['Jovan G. Brankov', 'Ricard Delgado Gonzalo', 'Yongyi Yang', 'Mingwu Jin', 'Miles N. Wernick']
I am writing a research paper on a idea PROGRESS IN MESH BASED SPATIO-TEMPORAL RECONSTRUCTION
[{"from": "human", "value": "I am writing a research paper on a idea PROGRESS IN MESH BASED SPATIO-TEMPORAL RECONSTRUCTION"}, {"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 new methodology for calculation of a 2D projection operator for emission tomography using a content-adaptive mesh model (CAMM). A CAMM is an efficient image representation based on adaptive sampling and linear interpolation, wherein non-uniform image samples are placed most densely in regions having fine detail.  have studied CAMM in recent years and shown that a CAMM is an efficient tool for data representation and tomographic reconstruction. In addition, it can also provide a unified framework for tomographic reconstruction of organs (e.g., the heart) that undergo non-rigid deformation. In this work  develop a projection operator model suitable for a CAMM representation such that it accounts for several major degradation factors in data acquisition, namely object attenuation and depth-dependent blur in detector-collimator response. The projection operator is calculated using a ray-tracing algorithm.  tested the developed projection operator by using Monte Carlo simulation for single photon emission tomography (SPECT). The methodology presented here can also be extended to transmission tomography."}]