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ENH: Classify vNav setter images as Navigators #13

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8 changes: 8 additions & 0 deletions classification_from_label.py
Original file line number Diff line number Diff line change
Expand Up @@ -309,6 +309,12 @@ def is_megre(label):
]
return regex_search_label(regexes, label)

# Volumetric navigator
def is_vnav(label):
regexes = [
re.compile('_vnav_setter', re.IGNORECASE)
]
return regex_search_label(regexes, label)


# Utility: Check a list of regexes for truthyness
Expand Down Expand Up @@ -346,6 +352,8 @@ def infer_classification(label):
elif is_functional(label):
classification['Intent'] = ['Functional']
classification['Measurement'] = ['T2*']
elif is_vnav(label):
classification['Features'] = ['3D', 'EPI', 'Navigator']
elif is_anatomy_t2(label):
classification['Intent'] = ['Structural']
classification['Measurement'] = ['T2']
Expand Down