A system including at least one processor and a storage device, the system comprising: a receiving module, configured to: obtain a first image that has been acquired at a first time phase and a second image that has been acquired at a second time phase; and a multi-time phase feature generation module, configured to: select a first vascular region from the first image, wherein the first vascular region comprises a blood vessel; select a second vascular region from the second image, wherein the second vascular region comprises at least a part of the blood vessel; generate a first vascular model, wherein the first vascular model corresponds to the first vascular region; generate a second vascular model, wherein the second vascular model corresponds to the second vascular region; set a boundary condition of the first vascular model and a boundary condition of the second vascular model; determine a condition of the blood vessel of the first vascular model at the first time phase, according to the boundary condition of the first vascular model; characterized in that the multi-time phase feature generation module is further configured to: correlate the first vascular model and the second vascular model, based on the condition of the blood vessel at the first time phase; and determine a condition of the blood vessel of the second vascular model at the second time phase, according to the correlation and the boundary condition of the second vascular model, wherein the correlating the first vascular model and the second vascular model comprises matching grids generated corresponding to the first vascular model and grids generated corresponding to the second vascular model, wherein the first time phase is a previous time phase and the second time phase is a current time phase, and wherein a computation result of an internal grid generated corresponding to the first vascular model is matched to an internal grid corresponding to the second vascular model, and the computation result is designated as an initial value at the second time phase. a receiving module, configured to: obtain a first image that has been acquired at a first time phase and a second image that has been acquired at a second time phase; and a multi-time phase feature generation module, configured to: select a first vascular region from the first image, wherein the first vascular region comprises a blood vessel; select a second vascular region from the second image, wherein the second vascular region comprises at least a part of the blood vessel; generate a first vascular model, wherein the first vascular model corresponds to the first vascular region; generate a second vascular model, wherein the second vascular model corresponds to the second vascular region; set a boundary condition of the first vascular model and a boundary condition of the second vascular model; determine a condition of the blood vessel of the first vascular model at the first time phase, according to the boundary condition of the first vascular model; select a first vascular region from the first image, wherein the first vascular region comprises a blood vessel; select a second vascular region from the second image, wherein the second vascular region comprises at least a part of the blood vessel; generate a first vascular model, wherein the first vascular model corresponds to the first vascular region; generate a second vascular model, wherein the second vascular model corresponds to the second vascular region; set a boundary condition of the first vascular model and a boundary condition of the second vascular model; determine a condition of the blood vessel of the first vascular model at the first time phase, according to the boundary condition of the first vascular model; characterized in that the multi-time phase feature generation module is further configured to: correlate the first vascular model and the second vascular model, based on the condition of the blood vessel at the first time phase; and determine a condition of the blood vessel of the second vascular model at the second time phase, according to the correlation and the boundary condition of the second vascular model, wherein the correlating the first vascular model and the second vascular model comprises matching grids generated corresponding to the first vascular model and grids generated corresponding to the second vascular model, wherein the first time phase is a previous time phase and the second time phase is a current time phase, and wherein a computation result of an internal grid generated corresponding to the first vascular model is matched to an internal grid corresponding to the second vascular model, and the computation result is designated as an initial value at the second time phase. correlate the first vascular model and the second vascular model, based on the condition of the blood vessel at the first time phase; and determine a condition of the blood vessel of the second vascular model at the second time phase, according to the correlation and the boundary condition of the second vascular model, wherein the correlating the first vascular model and the second vascular model comprises matching grids generated corresponding to the first vascular model and grids generated corresponding to the second vascular model, wherein the first time phase is a previous time phase and the second time phase is a current time phase, and wherein a computation result of an internal grid generated corresponding to the first vascular model is matched to an internal grid corresponding to the second vascular model, and the computation result is designated as an initial value at the second time phase.