Limited to the system architecture in conventional CT, artifacts induced by respiratory motion during routine diagnosis severely degrades the image quality. A novel micro-CT system performing well in a quasi-static way is proposed according to the principle of field emission. It employs 35 carbon nanotubes based X-ray tubes and 5 flat detectors, motion artifacts can be greatly suppressed by reducing the gantry rotation times and range under control of external sequential when compared with conventional CT system. To validate the feasibility of the proposed system, iterative reconstruction algorithm is adopted on simulation due to sparse sampling.