Medical imaging technologies offer the benefits of faster and accurate diagnosis. When the medical imaging combined with the digitization, they offer the advantage of permanent storage and fast transmission to any geographical location. However, there is a need for efficient compression algorithms that alleviate the taxing burden of both large storage space and transmission bandwidth requirements. The Perceptually Lossless Medical Image Coder is a new image compression technique. It provides a solution to challenge of delivering clinically critical information in the shortest time possible. It embeds the visual pruning into the JPEG 2000 coding framework to achieve the optimal compression without losing the visual integrity of medical images. However, the performance of the PLMIC under certain medical image operation is still unknown. In this thesis, we investigate the performance of the PLMIC by applying linear, quadratic and cubic standard and centered B-spline interpolation filters. In order to evaluate the visual performance, a subjective assessment consisting of 30 medical images and 6 image processing experts was conducted. The perceptually lossless medical image coder was compared to the state-of-the-art JPEG-LS compliant LOCO and NLOCO image coders. The results have shown overall, there were no perceivable differences of statistical significance when the medical images were enlarged by a factor of 2. The findings of the thesis may help the researchers to further improve the coder. Additionally, it may also notify the radiologists the performance of the PLMIC coder to help them with correct diagnosis.