A method comprising: imaging a target location for an orthopedic implant to collect image data regarding a morphology of the patient, the morphology including at least one of bone size and bone feature wherein the method further comprises; accessing stored soft tissue data and bone data corresponding to the target location of the orthopedic implant; determining the location of a soft tissue of the patient based at least in part upon the soft tissue data and bone data and the image data wherein the soft tissue comprises at least one of an ACL and a PCL and determining the location of the soft tissue comprises: creating an average of one or more of an ACL and PCL contour for one or more of an average femur and tibia from the soft tissue data and bone data corresponding to the target location of the orthopedic implant; altering one or more of the average femur and tibia to match one or more of a femur and tibia of the patient; and altering one or more of an ACL and PCL contour of the patient with the step of altering one or more of the average femur and tibia; displaying data including the location of the soft tissue of the patient; and recommending a prosthesis for selection from a database of prostheses to best fit the target location of the patient based at least in part upon the determined location of the soft tissue of the patient as well as at least one of the bone size and the bone feature, wherein the database of prostheses comprises information on implants of various brands and predetermined sizes. imaging a target location for an orthopedic implant to collect image data regarding a morphology of the patient, the morphology including at least one of bone size and bone feature wherein the method further comprises; accessing stored soft tissue data and bone data corresponding to the target location of the orthopedic implant; determining the location of a soft tissue of the patient based at least in part upon the soft tissue data and bone data and the image data wherein the soft tissue comprises at least one of an ACL and a PCL and determining the location of the soft tissue comprises: creating an average of one or more of an ACL and PCL contour for one or more of an average femur and tibia from the soft tissue data and bone data corresponding to the target location of the orthopedic implant; altering one or more of the average femur and tibia to match one or more of a femur and tibia of the patient; and altering one or more of an ACL and PCL contour of the patient with the step of altering one or more of the average femur and tibia; displaying data including the location of the soft tissue of the patient; and recommending a prosthesis for selection from a database of prostheses to best fit the target location of the patient based at least in part upon the determined location of the soft tissue of the patient as well as at least one of the bone size and the bone feature, wherein the database of prostheses comprises information on implants of various brands and predetermined sizes. creating an average of one or more of an ACL and PCL contour for one or more of an average femur and tibia from the soft tissue data and bone data corresponding to the target location of the orthopedic implant; altering one or more of the average femur and tibia to match one or more of a femur and tibia of the patient; and altering one or more of an ACL and PCL contour of the patient with the step of altering one or more of the average femur and tibia; displaying data including the location of the soft tissue of the patient; and recommending a prosthesis for selection from a database of prostheses to best fit the target location of the patient based at least in part upon the determined location of the soft tissue of the patient as well as at least one of the bone size and the bone feature, wherein the database of prostheses comprises information on implants of various brands and predetermined sizes. <EOS>