2. The method according to claim 1 , wherein the parameter model function is represented by y ⁡ ( t ) = [ v ⁡ ( T ) ⁢ ∫ e { - k 2 ⁡ ( t - T ) } ⁢ dT ] ⁡ [ f v ( 1 - f v ) ⁢ K 1 ] , wherein y(t) is the image data model, u(t) is an input activity, v(t) is a spillover activity, and k2 is an efflux value.
2. The method according to claim 1 , wherein the parameter model function is represented by y ⁡ ( t ) = [ v ⁡ ( T ) ⁢ ∫ e { - k 2 ⁡ ( t - T ) } ⁢ dT ] ⁡ [ f v ( 1 - f v ) ⁢ K 1 ] , wherein y(t) is the image data model, u(t) is an input activity, v(t) is a spillover activity, and k2 is an efflux value. 3. The method according to claim 2 , wherein the one or more non-linear terms of the derived model function include values of k2.