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@@ -488,14 +488,14 @@ class MyTransformModuleLogic(ScriptedLoadableModuleLogic):
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dicomUIDs = volumeNode.GetAttribute("DICOM.instanceUIDs")
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if not dicomUIDs:
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- print("❌ To je NRRD volume!")
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+ print("❌ This is an NRRD volume!")
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continue # Preskoči, če ni DICOM volume
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if volumeNode and volumeNode.IsA("vtkMRMLScalarVolumeNode"):
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- print(f"✔️ Najden volume: {volumeNode.GetName()} (ID: {volumeItem})")
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+ print(f"✔️ Found volume: {volumeNode.GetName()} (ID: {volumeItem})")
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if not volumeNode or not volumeNode.IsA("vtkMRMLScalarVolumeNode"):
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- print("ne najdem volumeNode")
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+ print("Can't find volumeNode")
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continue # Preskoči, če ni veljaven volume
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# Preveri, če volume ima StorageNode (drugače `.GetFileName()` vrže napako)
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@@ -503,7 +503,7 @@ class MyTransformModuleLogic(ScriptedLoadableModuleLogic):
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if not storageNode:
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- print("ne najdem storageNode")
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+ print("Can't find storageNode")
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continue # Preskoči, če volume nima shranjenih DICOM podatkov
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volumeName = volumeNode.GetName()
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#print(volumeName)
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@@ -523,7 +523,7 @@ class MyTransformModuleLogic(ScriptedLoadableModuleLogic):
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#print(f"Volume {volumeNode.GetName()} - Dimenzije: {dimensions}, Spacing: {spacing}")
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if modality != "CT":
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- print("Ni CT slika")
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+ print("Not a CT")
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continue # Preskoči, če ni CT
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@@ -561,14 +561,14 @@ class MyTransformModuleLogic(ScriptedLoadableModuleLogic):
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ct_points = [centroid for centroid, _ in volume_points_dict[("CT", ct_volume_name)]]
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if len(ct_points) < 3:
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- print(f"CT volumen {ct_volume_name} nima dovolj točk za registracijo.")
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+ print(f"CT volume {ct_volume_name} doesn't have enough points for registration.")
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else:
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for cbct_volume_name in cbct_list:
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cbct_points = [centroid for centroid, _ in volume_points_dict[("CBCT", cbct_volume_name)]]
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print(f"\nProcessing CBCT Volume: {cbct_volume_name}")
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if len(cbct_points) < 3:
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- print(f"CBCT Volume '{cbct_volume_name}' nima dovolj točk za registracijo.")
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+ print(f"CBCT Volume '{cbct_volume_name}' doesn't have enough points for registration.")
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continue
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# Shranjevanje razdalj
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@@ -619,7 +619,7 @@ class MyTransformModuleLogic(ScriptedLoadableModuleLogic):
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if applyScaling:
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scaling_factors = compute_optimal_scaling_per_axis(cbct_points, ct_points)
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- print("Skalirni faktorji: ", scaling_factors)
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+ print("Scaling factors: ", scaling_factors)
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cbct_points = compute_scaling(cbct_points, scaling_factors)
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if applyRotation:
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@@ -648,15 +648,16 @@ class MyTransformModuleLogic(ScriptedLoadableModuleLogic):
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cbct_volume_node.SetAndObserveTransformNodeID(transform_node.GetID())
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# Uporabi transformacijo na volumnu (fizična aplikacija)
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- slicer.vtkSlicerTransformLogic().hardenTransform(cbct_volume_node)
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- print("Transform uspešen na", cbct_volume_name)
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+ slicer.vtkSlicerTransformLogic().hardenTransform(cbct_volume_node) #aplicira transformacijo na volumnu
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+ slicer.mrmlScene.RemoveNode(transform_node) # Odstrani transformacijo iz scene
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+ print("Transform successful on ", cbct_volume_name)
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else:
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- print(f"Study {studyItem} nima ustreznih CBCT in CT volumnov.")
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+ print(f"Study {studyItem} doesn't have any appropriate CT or CBCT volumes.")
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# Izpis globalne statistike
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- print("Razdalje med CT in CBCTji: ", ctcbct_distance)
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- print("Razdalje med markerji: ", prostate_size_est)
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+ print("Distances between CT & CBCT markers: ", ctcbct_distance)
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+ print("Distances between pairs of markers for each volume: ", prostate_size_est)
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if(writefilecheck):
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# Define the file path for the CSV file
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Luka