System for color-coding medical instrumentation and methods of use

A system for using machine-learning-based image analysis to colorize a biopsy device in medical imaging, comprising:

• at least one memory storing instructions;
• a display;
• and
• at least one processor operatively connected to the at least one memory and to the display, and configured to execute the instructions to perform operations, including:
• obtaining medical imaging of anatomy of a patient, the medical imaging including a depiction of a medical device within the anatomy of the patient;
• generating a segmentation of the medical device by inputting the medical imaging into a trained machine-learning model that has been trained, based on (i) a plurality of training images of medical devices and (ii) labels of different portions of the medical devices, to learn associations between the labels and the different portions of the medical devices, such that the trained machine-learning model is configured to use the learned associations to segment the depiction of the medical device in the medical imaging into one or more portions corresponding to the labels;
• modifying the medical imaging by applying a color-coding to the depiction of the medical device based on the generated segmentation;
• and
• causing the display to output the modified medical imaging.

A non-transitory computer-readable medium comprising instruction for using machine-learning-based image analysis to colorize a biopsy device in ultrasound medical imaging, the instructions being executable by at least one processor to perform operations, including:

• obtaining ultrasound medical imaging of anatomy of a patient, the medical imaging including a depiction of a biopsy device within the anatomy of the patient;
• generating a segmentation of the biopsy device by inputting the ultrasound medical imaging into a trained machine-learning model that has been trained, based on (i) a plurality of training ultrasound images of biopsy devices and (ii) labels of different portions of the biopsy devices, to learn associations between the labels and the different portions of the biopsy devices, such that the trained machine-learning model is configured to use the learned associations to segment the depiction of the biopsy device in the ultrasound medical imaging into one or more portions corresponding to the labels;
• modifying the ultrasound medical imaging by applying a color-coding to the depiction of the biopsy device based on the generated segmentation;
• and
• causing a display to output the modified ultrasound medical imaging.