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Double-Weighted Integration Method

Since the time required to perform a least squares curve fitting would be prohibitive, a simpler approach to solving the problem is required. One technique is to use a weighted integration method. We initially approached the problem by assuming that was negligibly small, in which case the term is eliminated from equation (4). Taking equation (4) with eliminated, and integrating both sides from time 0 to the end of the last frame, we get:

We can then take this equation, and divide it by a weighted version of itself:

cancels out of this equation, leaving us with an equation that only involves . The left side of equation (6) is easily evaluated by integrating the PET data. The right side of equation (6) is not easily solved for , so a different approach was taken. A look-up table was generated relating values of to resulting values of the right hand side of equation (6). A linear interpolation was then performed to choose values of from this look-up table for each point in the left hand side of equation (6).


wolforth@pet.mni.mcgill.ca