A method of selecting a meniscus prosthetic device for a patient from a library of available prosthetic devices, the method comprising: a pre-implantation matching process comprising: a direct geometrical matching process comprising: obtaining an image of the patient's healthy knee, segmenting the knee into components, including a healthy meniscus, and identifying geometrically suitable prosthetic devices based on comparing the healthy meniscus to the available prosthetic devices; a correlation parameters-based matching process comprising: obtaining an image of the patient's injured knee, determining one or more correlation parameters for the available prosthetic devices based on anatomical measurements of the injured knee, and identifying correlation-parameter suitable prosthetic devices based on comparing the one or more correlation parameters for the available prosthetic devices to an accepted normative data range; and a finite element-based matching process comprising: creating a finite element model of the patient's injured knee based on the image of the patient's injured knee, simulating a loading of the patient's injured knee with an available prosthetic device positioned therein for one or more of the available prosthetic devices, and identifying (236, 238) finite-element suitable prosthetic devices based on evaluating a load distribution for the one or more of the available prosthetic devices; and identifying one or more best suitable prosthetic devices from the geometrically suitable prosthetic devices, the correlation-parameter suitable prosthetic devices, and the finite-element suitable prosthetic devices, wherein identifying the one or more best suitable prosthetic devices comprises: weighting the direct geometrical matching process, the correlation parameters-based matching process, and the finite element-based matching process; and obtaining trial versions of the one or more identified best suitable prosthetic devices. a direct geometrical matching process comprising: obtaining an image of the patient's healthy knee, segmenting the knee into components, including a healthy meniscus, and identifying geometrically suitable prosthetic devices based on comparing the healthy meniscus to the available prosthetic devices; obtaining an image of the patient's healthy knee, segmenting the knee into components, including a healthy meniscus, and identifying geometrically suitable prosthetic devices based on comparing the healthy meniscus to the available prosthetic devices; a correlation parameters-based matching process comprising: obtaining an image of the patient's injured knee, determining one or more correlation parameters for the available prosthetic devices based on anatomical measurements of the injured knee, and identifying correlation-parameter suitable prosthetic devices based on comparing the one or more correlation parameters for the available prosthetic devices to an accepted normative data range; and obtaining an image of the patient's injured knee, determining one or more correlation parameters for the available prosthetic devices based on anatomical measurements of the injured knee, and identifying correlation-parameter suitable prosthetic devices based on comparing the one or more correlation parameters for the available prosthetic devices to an accepted normative data range; and a finite element-based matching process comprising: creating a finite element model of the patient's injured knee based on the image of the patient's injured knee, simulating a loading of the patient's injured knee with an available prosthetic device positioned therein for one or more of the available prosthetic devices, and identifying (236, 238) finite-element suitable prosthetic devices based on evaluating a load distribution for the one or more of the available prosthetic devices; and creating a finite element model of the patient's injured knee based on the image of the patient's injured knee, simulating a loading of the patient's injured knee with an available prosthetic device positioned therein for one or more of the available prosthetic devices, and identifying (236, 238) finite-element suitable prosthetic devices based on evaluating a load distribution for the one or more of the available prosthetic devices; and identifying one or more best suitable prosthetic devices from the geometrically suitable prosthetic devices, the correlation-parameter suitable prosthetic devices, and the finite-element suitable prosthetic devices, wherein identifying the one or more best suitable prosthetic devices comprises: weighting the direct geometrical matching process, the correlation parameters-based matching process, and the finite element-based matching process; and obtaining trial versions of the one or more identified best suitable prosthetic devices.