Abstract: Provided in accordance with the present disclosure are systems and methods for identifying a percutaneous tool in image data. An exemplary method includes receiving image data of at least a portion of a patient's body, identifying an entry point of a percutaneous tool through the patient's skin in the image data, analyzing a portion of the image data including the entry point of the percutaneous tool through that patient's skin to identify a portion of the percutaneous tool inserted through the patient's skin, determining a trajectory of the percutaneous tool based on the identified portion of the percutaneous tool inserted through the patient's skin, identifying a remaining portion of the percutaneous tool in the image data based on the identified entry point and the determined trajectory of the percutaneous tool, and displaying the identified portions of the percutaneous tool on the image data.

Abstract: Provided in accordance with the present disclosure are systems and methods for identifying a percutaneous tool in image data. An exemplary method includes receiving image data of at least a portion of a patient's body, identifying an entry point of a percutaneous tool through the patient's skin in the image data, analyzing a portion of the image data including the entry point of the percutaneous tool through that patient's skin to identify a portion of the percutaneous tool inserted through the patient's skin, determining a trajectory of the percutaneous tool based on the identified portion of the percutaneous tool inserted through the patient's skin, identifying a remaining portion of the percutaneous tool in the image data based on the identified entry point and the determined trajectory of the percutaneous tool, and displaying the identified portions of the percutaneous tool on the image data.

Abstract: A method for identifying a liver in a CT image of a patient is provided. The method includes applying a liver model to the CT image. The method further includes extracting an internal liver region and an external liver region from the CT image based on the applied liver model. The method also includes performing a graph cut algorithm on the CT image based on the internal liver region and the external liver region to produce a liver image. The performing of the graph cut algorithm on the CT image to produce the liver image may be further based on an internal heart and/or kidney region and an external heart and/or kidney region. A non-transitory computer-readable storage medium encoded with a program is provided.

Abstract: Provided in accordance with the present disclosure are systems and methods for identifying a percutaneous tool in image data. An exemplary method includes receiving image data of at least a portion of a patients body, identifying an entry point of a percutaneous tool through the patients skin in the image data, analyzing a portion of the image data including the entry point of the percutaneous tool through that patients skin to identify a portion of the percutaneous tool inserted through the patients skin, determining a trajectory of the percutaneous tool based on the identified portion of the percutaneous tool inserted through the patients skin, identifying a remaining portion of the percutaneous tool in the image data based on the identified entry point and the determined trajectory of the percutaneous tool, and displaying the identified portions of the percutaneous tool on the image data.