The present invention provides a method and application for identifying the plane tissue structure of the transverse abdominal
muscle based on RMSD-Net, and relates to the field of
image processing technology. The method comprises the following steps: performing data preprocessing on an acquired
ultrasound image with a plane structure of the transverse abdominal
muscle to establish an abdominal
ultrasound image dataset; wherein the
ultrasound image with the plane structure of the transverse abdominal
muscle includes key abdominal tissue structure information that can be observed during TAP block; constructing an RMSD-Net model with a U-shaped
network structure; the RMSD-Net model comprises an
encoder, a jump connection structure, and a decoder; a multi-scale residual
feature extraction module RMDC module is added to each layer of the
encoder; the jump connection structure uses a
feature fusion module SFF module layer by layer; an attention mechanism GAM module is added to the last layer of the decoder; a segmentation task is performed on the aforementioned key abdominal tissue structure information, the aforementioned abdominal
ultrasound image dataset is divided into a
training set and a
test set, and the aforementioned RMSD-Net model is used for training and testing respectively; the tested RMSD-Net model is used to segment and identify the key abdominal tissue structure information of the newly acquired
ultrasound image with the plane structure of the transverse abdominal muscle. The present invention can help clinicians to quickly and accurately interpret ultrasound images with the transverse abdominal muscle plane structure, so as to assist them in accurately locating the blocking area and injecting local anesthetics.