Bone fracture detection and classification

A method of assisting with bone fracture detection, the method comprising the steps of

• receiving image data of a medical image from a device selected from the group consisting of a C-arm based X-ray device, a diagnostic X-ray device, a computer tomography device, a magnetic resonance device, an ultrasound device, a data detection device or an image storage device;
• identifying a bone structure in the medical image;
• determining a fracture line at the identified bone structure;
• detecting a bone feature selected from the group consisting of at least a portion of an outline of the identified bone structure, a point of the fracture line on an outline of the identified bone structure, a relative displacement of bone parts of the identified bone structure, or a combination thereof, wherein the bone feature is detected based on edge detection;
• and
• implementing a neural net in a processing unit to generate a corresponding output selected from a group consisting of bone structure identification, fracture line determination, bone outline detection, fracture line point detection, bone part displacement detection, bone fracture classification, or a combination thereof.

A non-transitory, computer-readable memory storing a set of instruction that, when executed on a processing unit, performs a method of assisting with bone fracture detection comprising:

• receiving image data of a medical image from a device selected from the group consisting of a C-arm based X-ray device, a diagnostic X-ray device, a computer tomography device, a magnetic resonance device, an ultrasound device, a data detection device or an image storage device;
• identifying a bone structure in the medical image;
• determining a fracture line at the identified bone structure;
• and
• detecting a bone feature selected from the group consisting of at least a portion of an outline of the identified bone structure, a point of the fracture line on an outline of the identified bone structure, a relative displacement of bone parts of the identified bone structure, or a combination thereof, wherein the bone feature is detected based on edge detection;
• and
• implementing a neural net in a processing unit to generate a corresponding output selected from a group consisting of bone structure identification, fracture line determination, bone outline detection, fracture line point detection, bone part displacement detection, bone fracture classification, or a combination thereof.