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Pull Request — main (#1350)
by Fernando
01:23
created

Transpose.apply_transform()   A

↳ Parent: torchio.transforms.preprocessing.spatial.transpose

Complexity

Conditions 2

Size

Total Lines 7
Code Lines 7

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 2
eloc 7
nop 2
dl 0
loc 7
rs 10
c 0
b 0
f 0
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from ....data.subject import Subject
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from ...spatial_transform import SpatialTransform
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from .to_orientation import ToOrientation
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class Transpose(SpatialTransform):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    """Swap the first and last spatial dimensions of the image, respecting metadata.

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    Example:

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    >>> import torchio as tio

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    >>> image = tio.datasets.FPG().t1

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    >>> image

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    ScalarImage(shape: (1, 256, 256, 176); spacing: (1.00, 1.00, 1.00); orientation: PIR+; path: "/home/fernando/.cache/torchio/fpg/t1.nii.gz")

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    >>> transpose = tio.Transpose()

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    >>> transposed = transpose(image)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    >>> transposed

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    """

            


            
                                                                                                            
                                                                
            
                                    
            
            

                
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    def apply_transform(self, subject: Subject) -> Subject:

            


            
                                                                        
                            
            
                                    
            
            

                
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        for image in self.get_images(subject):

            


            
                                                                        
                            
            
                                    
            
            

                
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            transform = ToOrientation(image.orientation_str[::-1])

            


            
                                                                        
                            
            
                                    
            
            

                
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            transposed = transform(image)

            


            
                                                                        
                            
            
                                    
            
            

                
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            image.set_data(transposed.data)

            


            
                                                                        
                            
            
                                    
            
            

                
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            image.affine = transposed.affine

            


            
                                                                        
                            
            
                                    
            
            

                
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        return subject

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    def is_invertible(self):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        return True

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    def inverse(self):

            


            
                                                                                                            
                                                                
            
                                    
            
            

                
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        return self

            


            
                                                        
            
                                    
            
            

                
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