To begin, run the MATLAB code to split the stretched-nerve displacement videos into left and right camera files. Click Run"to initiate the DLTdv7 M22 GUI. The DLTdv7 controls window will appear, enabling options like Project, Load project, and Quit.
To start a new project, click New project"on the DLTdv7 controls window. In the dialogue box, select 2"to indicate the use of two video files. For tracking marker trajectories, choose the first video file from the left camera view, and click Open, then select and open the second video file from the right camera view.
After selecting both video files, click Yes"to confirm that they were calibrated using DLT. Select the appropriate DLT coefficient's csv file from the camera system, and click Open. Upon loading video files, the DLTdv7 controls are enabled, and the New project"button changes to Recompute 3D points, while the Load project"button changes to Save.
Then, in the DLTdv7 controls window, verify that the frame number is set to 1. The current point is 1, and the auto-track mode is off. Ensure that Update all videos, DLT visual feedback, and Show 2D tracks"are selected.
In video one, place point one precisely at the center of the insertion marker. Use the keyboard shortcuts to adjust the point's position for accuracy. In video two, a blue epipolar line guides the placement of point one on the insertion marker.
Use the keyboard shortcuts to adjust the point's position, aligning it with the center of the insertion marker. Next, use the Add a point"function in the DLTdv7 controls to track each tissue marker sequentially. Then, click Add a point, and place point two on marker one in video one.
Using the blue epipolar line and keyboard shortcuts, place point two on marker one in video two. Continue adding and placing points on both videos from the insertion to the clamp. After placing all initial points in both videos, set the frame number to 1, and ensure the current point is also set to 1"in the DLTdv7 controls.
Change the auto-track mode to auto-advance, and the auto-track predictor to extended Kalman"in the DLTdv7 controls. Begin tracking point one in video one. Zoom in or out as needed for precision.
Click through each frame until reaching the failure point, or the video's end. After completion, reset to frame one, and switch to point two in the DLTdv7 controls. Tracked points will show distinct colors for easy identification.
To track all points in video one, click through each frame until reaching the failure point, or video end. In video two, use the blue epipolar line for tracking points, referencing video one. On the DLTdv7 controls window, return the frame number to 1, set the current point to 1, and begin tracking point one's trajectory in video two.
After tracking is complete in video one and video two, click Export points"on the DLTdv7 controls window to export the X, Y, and Z coordinates of the tracked points. Select the desired direct relocation to save the output files. Set the name for the output files in another dialogue box, then select the save format to _.
After that, select No"in another dialogue box to decide on calculating the 95%confidence interval. Confirm the export and saving of data indicating that four output files are exported to the chosen directory. Click Save project"in the DLTdv7 controls window to save the current project in the same directory as the output files.
Run a custom MATLAB code to import the tracked 3D market trajectories in X, Y, and Z dimensions. Enter specific details like the rupture time and number of tracked points. Select the XYZ-point csv file containing the 3D trajectories.
Choose a directory to save the output plots and the xls file, with comprehensive data on time, length, change in length, and strain. Then, use the given equations to calculate length, change in length, and percent strain.
