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Supervised machine learning methods require an input image with a corresponding mask for training a network. Currently, the Volume Clip extension is used with the Scene Views module to create these masks, but it is a multi-step process. This project will focus on automating these steps to create masks for applicators in 2D ultrasound liver images.
2D images do not have pixel spacing encoded, so a few “ctk.ctkDoubleSpinBox()” entry fields were added to accept user input
Inputs to the module are an ultrasound image with a point on the shaft and a point on the tip:
Outputs to the module are a mask that can be used for supervised machine learning:
TODO: Occasionally the VolumeClip does not fill the entire model: