OxyGenie.pgvnet#

Module contents#

OxyGenie.pgvnet.BranchGen

Generates branching structures on a 2D grid with random angles and lengths.

OxyGenie.pgvnet.DilationN

Applies dilation on the grid for a specified number of iterations.

OxyGenie.pgvnet.PGPipeline

Orchestrates a sequence of operations on the grid.

OxyGenie.pgvnet.simple_generation

Generates a set of vascular networks using a procedural pipeline.

OxyGenie.pgvnet.sp_ratio

Computes the surface-to-perimeter ratio of a given grid.
class OxyGenie.pgvnet.BranchGen(L_p, angle_p, n_branch, L_max=None)[source]#

Generates branching structures on a 2D grid with random angles and lengths.

Parameters:

  • (tuple) (- angle_p)

  • (tuple)

  • (int) (- n_branch)

  • (float (- L_max)

  • optional) (Maximum branch length.)

Warning

  • Return via __call__

class OxyGenie.pgvnet.DilationN(n_iter=1)[source]#

Applies dilation on the grid for a specified number of iterations.

Parameters:

(int) (- n_iter)

Warning

  • Return via __call__

class OxyGenie.pgvnet.PGPipeline(operations)[source]#

Orchestrates a sequence of operations on the grid.

Parameters:

(list) (- operations)

Warning

  • Return via __call__

class OxyGenie.pgvnet.PGVNet(n_iter)[source]#

Performs dilation and grid updates using a network-like approach.

Parameters:

(int) (- n_iter)

Warning

  • Return via __call__

OxyGenie.pgvnet.simple_generation(N=1, grid_size=1000, Lc=30, lrang=10, initial_angle=0, alpha=0.7853981633974483)[source]#

Generates a set of vascular networks using a procedural pipeline.

This function creates vascular networks by simulating branching patterns with specified parameters for grid size, branch lengths, and angles.

Parameters:

  • N (int) – The number of vascular networks to generate.

  • grid_size (int) – The size of the grid for each vascular network.

  • Lc (int) – The mean length of branches in the vascular network.

  • lrang (int) – The variation range for branch lengths around the mean length.

  • initial_angle (float) – The initial branching angle for the network.

  • alpha (float) – The spread of branching angles from the initial angle.

Returns:

grids – An array containing the generated vascular networks, where each entry represents one grid.

Return type:

list(ndarray)

OxyGenie.pgvnet.sp_ratio(grid)[source]#

Computes the surface-to-perimeter ratio of a given grid.