Source code for alexandria.wrappers.uniformity_wrapper
"""
Uniformity Module Wrapper
Combines UniformityAnalyzer with UniformityPlotter for convenient
analysis and visualization in a single class.
"""
import matplotlib.pyplot as plt
from typing import Optional, Tuple, List, Dict, Any
from ..analyzers.uniformity import UniformityAnalyzer
[docs]
class UniformityModuleReporter:
def __init__(
self,
image: Optional[Any] = None,
center: Optional[Tuple[float, float]] = None,
pixel_spacing: Optional[float] = None,
spacing: Optional[float] = None,
dicom_set: Optional[List] = None,
slice_index: Optional[int] = None,
roi_box_size: float = 15.0,
roi_offset: float = 50.0,
):
self.analyzer = UniformityAnalyzer(
image=image,
center=center,
pixel_spacing=pixel_spacing,
spacing=spacing,
dicom_set=dicom_set,
slice_index=slice_index,
roi_box_size=roi_box_size,
roi_offset=roi_offset,
)
self.results = None
self.figure = None
[docs]
def analyze(self, verbose: bool = True) -> Dict[str, Any]:
self.results = self.analyzer.analyze(verbose=verbose)
return self.results
[docs]
def plot(self, show: bool = False, **kwargs) -> plt.Figure:
if self.results is None:
self.analyze(verbose=False)
from ..plotters.uniformity_plotter import UniformityPlotter
plotter = UniformityPlotter(self.analyzer)
self.figure = plotter.plot(**kwargs)
if show:
plt.show()
return self.figure
[docs]
def analyze_and_plot(self, verbose: bool = True, show: bool = False, **kwargs) -> Tuple[Dict[str, Any], plt.Figure]:
results = self.analyze(verbose=verbose)
figure = self.plot(show=show, **kwargs)
return results, figure
[docs]
def save_plot(self, filepath: str, dpi: int = 300, **kwargs):
if self.figure is None:
self.plot()
self.figure.savefig(filepath, dpi=dpi, bbox_inches='tight', **kwargs)
[docs]
def get_summary(self) -> Dict[str, str]:
if self.results is None:
self.analyze(verbose=False)
return self.analyzer.get_results_summary()