BIOPSY NEEDLE VISUALIZATION
Methods and systems providing guidance for operation of a biopsy needle based on ultrasonic imaging. Ultrasonic waves are emitted and detected by a ultrasonic transducer to generate image data. A biopsy needle is identified within the generated image data, and the biopsy needle may be in a pre-fire configuration. Based on the identification of the biopsy needle, the methods and systems may determine a predicted location of the biopsy needle based at least in part on biopsy needle properties. The predicted location of the biopsy needle may be the predicated location of the biopsy needle in its post-fire configuration. At least one indicator may be displayed indicating the determined predicted location.
1 . (canceled)
2 . A method for providing guidance for operation of a biopsy needle, the method comprising:
displaying a user interface for selecting a type of biopsy needle of the biopsy needle to be used for a biopsy procedure;
receiving as input in the user interface, the input indicating the type of biopsy needle;
based on the input indicating the type of biopsy needle, determining needle properties for the biopsy needle, wherein the needle properties include at least one of a needle length, a needle gauge, a needle wall thickness, a needle material composition, a needle tip geometry, and a needle firing mechanism property;
based on the determined needle properties, determining a deflection probability for a post-fire tip location of the biopsy needle;
generating an ultrasound image from an ultrasound probe of an interior of a patient having at least a portion of the biopsy needle disposed therein;
identifying the at least a portion of the biopsy needle within the generated ultrasound image; and
based on the identification of the at least a portion of the biopsy needle and the determined deflection probability for the post-fire tip location of the biopsy needle, displaying a deflection probability indicator on the ultrasound image, wherein the deflection probability indicator indicates a range for the post-fire tip location based on the determined deflection probability.
3 . The method of claim 2 , wherein the deflection probability indicator is based at least in part on a standard deviation of the range for the post-fire tip location.
4 . The method of claim 2 , wherein the input in the user interface indicates a make and model of the biopsy needle.
5 . The method of claim 2 , wherein the determining needle properties for the biopsy needle include querying a database containing the needle properties based on the input received from the user interface.
6 . The method of claim 2 , wherein the deflection probability indicator is one of an ellipse, a circle, a square, a rectangle, or a triangle.
7 . The method of claim 2 , wherein the deflection probability indicator indicates a range of probabilities for the post-fire tip location.
8 . The method of claim 2 , wherein the deflection probability indicator comprises a heatmap indicating a range of probabilities for the post-fire tip location.
9 . The method of claim 2 , wherein determining the deflection probability is further based on tissue properties of the interior of the patient along a fire trajectory for the biopsy needle.
10 . The method of claim 9 , wherein the tissue properties are based on user input identifying the tissue properties in the user interface.
11 . The method of claim 9 , further comprising determining the tissue properties by:
determining the fire trajectory for the biopsy needle based on the generated ultrasound image;
receiving elastography data for tissue along at least a portion of the fire trajectory for the biopsy needle; and
determining the tissue properties based on the received elastography data.
12 . The method of claim 2 , wherein determining the deflection probability is based on a mathematical analysis for determining flex of a needle having the determined needle properties.
13 . The method of claim 2 , further comprising:
aggregating ultrasound image data for a plurality of insertions of biopsy needles into a patient;
training a machine learning tool based on the aggregated ultrasound image data; and
wherein determining the deflection probability is determined at least in part using the trained machine learning tool.
14 . A system comprising:
an ultrasound probe;
a display;
at least one processor operatively connected to the display and the ultrasound probe; and
memory, operatively connected to the at least one processor, storing instructions that when executed by the at least one processor perform a set of operations comprising:
displaying a user interface on the display for selecting a type of biopsy needle of a biopsy needle to be used for a biopsy procedure;
receiving as input in the user interface, the input indicating the type of biopsy needle;
based on the input indicating the type of biopsy needle, determining needle properties for the biopsy needle, wherein the needle properties include at least one of a needle length, a needle gauge, a needle wall thickness, a needle material composition, a needle tip geometry, and a needle firing mechanism property;
based on the determined needle properties, determining a deflection probability for a post-fire tip location of the biopsy needle;
generating an ultrasound image from the ultrasound probe of an interior of a patient having at least a portion of the biopsy needle disposed therein;
identifying the at least a portion of the biopsy needle within the generated ultrasound image; and
based on the identification of the at least a portion of the biopsy needle and the determined deflection probability for the post-fire tip location of the biopsy needle, displaying a deflection probability indicator on the ultrasound image, wherein the deflection probability indicator indicates a range for the post-fire tip location based on the determined deflection probability.
15 . The system of claim 14 , wherein within the set of operations the deflection probability indicator is based at least in part on a standard deviation of the range for the post-fire tip location.
16 . The system of claim 14 , wherein within the set of operations the input in the user interface indicates a make and model of the biopsy needle.
17 . The system of claim 14 , wherein within the set of operations determining needle properties for the biopsy needle includes querying a database containing the needle properties based on the input received from the user interface.
18 . The system of claim 14 , wherein within the set of operations the deflection probability indicator indicates a range of probabilities for the post-fire tip location.
19 . The system of claim 14 , wherein within the set of operations the deflection probability indicator comprises a heatmap indicating a range of probabilities for the post-fire tip location.
20 . The system of claim 14 , wherein within the set of operations determining the deflection probability is based on a mathematical analysis for determining flex of a needle having the determined needle properties.
21 . The system of claim 14 , wherein the set of operations further comprises:
aggregating ultrasound image data for a plurality of insertions of biopsy needles into a patient;
training a machine learning tool based on the aggregated ultrasound image data; and
wherein determining the deflection probability is determined at least in part using the trained machine learning tool.