fast::AirwaySegmentation class
#include <FAST/Algorithms/AirwaySegmentation/AirwaySegmentation.hpp>

Segment airways from CT using seeded region growing with explosion control.

Contents

An example of this can be found in airwaySegmentation.cpp

Inputs:

  • 0: Image - CT thorax 3D image

Outputs:

  • 0: Image - Segmentation image

Base classes

class ProcessObject
Abstract base class for all process objects.

Public functions

auto create(float smoothing, Vector3i seed) -> std::shared_ptr<AirwaySegmentation>
Create AirwaySegmentation instance.
void setSeedPoint(int x, int y, int z)
Set manual seed point for region growing.
void setSeedPoint(Vector3i seed)
Set manual seed point for region growing.
void setSmoothing(float sigma)
Standard deviation of Gaussian smoothing for preprocessing.
void loadAttributes() override

Private functions

void execute() virtual

Function documentation

std::shared_ptr<AirwaySegmentation> fast::AirwaySegmentation::create(float smoothing, Vector3i seed)

Create AirwaySegmentation instance.

Parameters
smoothing Standard deviation of Gaussian smoothing to apply before segmentation. A higher value can be used for low dose CT.
seed Manually set seed point. If set to (-1,-1,-1), it will try to find seed point automatically.
Returns instance

void fast::AirwaySegmentation::setSeedPoint(int x, int y, int z)

Set manual seed point for region growing.

Parameters
x
y
z

void fast::AirwaySegmentation::setSeedPoint(Vector3i seed)

Set manual seed point for region growing.

Parameters
seed

void fast::AirwaySegmentation::setSmoothing(float sigma)

Standard deviation of Gaussian smoothing for preprocessing.

Parameters
sigma standard deviation

Set the standard deviation value of the GaussianSmoothing performed before segmentation. Default is 0.5. A higher value can be used for low dose CT.