A Pulmonary Airway Tree Segmentation Method for Tracheal Wall Gap Closure Under the Constraint of Spheroid Region
A region-constrained, spheroid-like technology, applied in the field of medical image processing, can solve problems such as extraction and leakage of small airways, and achieve the effect of reducing difficulty and segmenting the environment well
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[0017] The present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments. The present invention realizes a pulmonary airway tree segmentation method for sealing the tracheal wall gap under the constraint of the spheroid region, which mainly includes the following steps:
[0018] Step 1: Read the chest CT image and set the initial seed point in the main trachea;
[0019] Step 2: Detect the connected domain and mark it, and push the single-connected seed point sets in the seed point retention matrix into the stack in turn.
[0020] P Label (P)=[P area (k),k],k=1,2,3,...,n.
[0021] Among them, P is the seed point retention matrix, k is the sorting value and tag value in the stack, n is the maximum value of k in the stack, and P area (k) is a set of single-connected seed points marked k, which satisfy the following properties:
[0022] (1)
[0023] (2)
[0024] (3)max[P area (k)] = 1;
[0025] (4) ...
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