Method, apparatuses, and systems useful in conducting image guided interventions
Methods, apparatuses, and systems relating to image guided interventions on dynamic tissue. One embodiment is a method that includes creating a dataset that includes images, one of the images depicting a non-tissue internal reference marker, being linked to non-tissue internal reference marker positional information, and being at least 2-dimensional. Another embodiment is a method that includes receiving a position of an instrument reference marker coupled to an instrument; transforming the position into image space using a position of a non-tissue internal reference marker implanted in a patient; and superimposing a representation of the instrument on an image in which the non-tissue internal reference marker appears. Computer readable media that include machine readable instructions for carrying out the steps of the disclosed methods. Apparatuses, such as integrated circuits, configured to carry out the steps of the disclosed methods. Systems that include devices configured to carry out steps of the disclosed methods.
1. A method comprising:
creating a dataset that includes a plurality of images associated with a body part, each of the plurality of images being received from an imaging device, each image depicting a non-tissue internal reference marker;
calculating for each image in the dataset a dataset vector using a position of the non-tissue internal reference marker;
receiving, from a tracker, a current position of the non-tissue internal reference marker and current position of an external reference marker;
calculating a current vector using data associated with the current position of the non-tissue internal reference marker;
using the data associated with the current position of the non-tissue internal reference marker and the dataset vector associated with at least one image of the plurality of images from the dataset;
identifying a match dataset vector (MDV) the MDV being the dataset vector most similar to the current vector, the MDV being associated with the at least one image of the plurality of images from the dataset;
receiving, from the tracker, a current position of an instrument reference marker coupled to an instrument;
applying the transformation linked to the MDV associated with the at least one image of the plurality of images from the dataset to the current position of the instrument reference marker, thus transforming the current position of the instrument reference marker into image space; and
superimposing a representation of the instrument on the at least one image of the plurality of images.
2. The method of claim 1 , further comprising:
loading a gated dataset into memory, the gated data set including the plurality of images, one of the images being linked to a sample of a first periodic human characteristic signal.
3. The method of claim 2 , where each image is linked to a sample of a first periodic human characteristic signal.
4. The method of claim 2 , further comprising:
receiving a second periodic human characteristic signal; and
comparing a sample of the second periodic human characteristic signal to the sample of the first periodic human characteristic signal.
5. The method of claim 4 , where the first and second periodic human characteristic signals are electrocardiogram (ECG) signals.
6. The method of claim 4 , further comprising:
recognizing a sample of the second periodic human characteristic signal that matches the sample of the first periodic human characteristic signal.
7. The method of claim 1 , wherein the plurality of images are taken using fluoroscopy.
8. The method of claim 1 , wherein the plurality of images are taken using computed tomography (CT).
9. The method of claim 1 , wherein the plurality of images are taken using magnetic resonance imaging (MRI).
10. A non-transitory computer readable medium comprising machine readable instructions for carrying out the steps of claim 1 .