The Mimics API also supports low-level data access to images, masks and 3D parts (or STLs). This tutorial shows how to access the nodes (points) and triangles of a part. The Mimics project Heart.mcs from C:\MedData\DemoFiles will be used.
# Tutorial for access to nodes of an STL
# Import the required libraries
try:
import numpy as np # First need to install numpy package for Python. Type pip install numpy in your cmd
except ImportError as ie:
print("================================================================")
print("=== The 3rd party Python package 'numpy' is not installed! ===")
print("=== To install it, use 'pip install numpy' in your cmd! ===")
print("================================================================")
raise
# Open Heart.mcs project
input_dir = r'C:\MedData\DemoFiles\Heart.mcs'
mimics.file.open_project(input_dir)
# Get the LV part
p = mimics.data.parts.find("LV")
if p is not None:
# Get a copy of nodes and triangles
nodes, triangles = p.get_triangles()
# Read them with numpy
nodes = np.asarray(nodes)
print(len(nodes))
triangles = np.asarray(triangles)
# Find the point that is closest to the WCS
mx = []
for m in nodes:
mx.append(np.linalg.norm(m))
i_mx = mx.index(max(mx))
# Find the point that is furthest from the WCS
mn = []
for m in nodes:
mn.append(np.linalg.norm(m))
i_mn = mn.index(min(mn))
# Calculate the distace
d = mimics.measure.create_distance_measurement(list(nodes[i_mx]), list(nodes[i_mn]))
else:
print("The part LV could not be found.")