def process(folder):
""" Post process data distribution and baseline"""
print(folder)
util.setup(folder)
params = ['Mobility', 'Selfcare', 'Activity', 'Pain', 'Anxiety', 'karnofsky', 'Index_value']
image_ids = find_images_163()
result = util.post_calculations(image_ids)
print(len(result['all']))
util.avg_calculation(result['all'], 'all_N=163', None, True, folder, save_sum=True)
util.avg_calculation(result['img'], 'img_N=163', None, True, folder)
image_ids = do_img_registration_GBM.find_images()
result = util.post_calculations(image_ids)
print(len(result['all']))
util.avg_calculation(result['all'], 'all_N=170', None, True, folder, save_sum=True)
util.avg_calculation(result['img'], 'img_N=170', None, True, folder)
for qol_param in params:
(image_ids_with_qol, qol) = util.get_qol(image_ids, qol_param)
if qol_param not in ["karnofsky", "Delta_kps"]:
qol = [_temp * 100 for _temp in qol]
default_value = -100
print(qol_param)
print(len(qol))
result = util.post_calculations(image_ids_with_qol)
for label in result:
if label == 'img':
continue
print(label)
# util.avg_calculation(result[label], label + '_' + qol_param, qol, True, folder, default_value=default_value)
util.median_calculation(result[label], label + '_' + qol_param, qol, True, folder, default_value=default_value)
def process3(folder):
""" Post process data """
print(folder)
util.setup(folder)
params = ['Mobility', 'Selfcare', 'Activity', 'Pain', 'Anxiety', 'karnofsky', 'Index_value']
image_ids = find_images()
result = util.post_calculations(image_ids)
print(len(result['all']))
# util.avg_calculation(result['all'], 'all_N=112', None, True, folder, save_sum=True)
# util.avg_calculation(result['img'], 'img_N=112', None, True, folder)
for qol_param in params:
if qol_param == "Delta_qol2":
(image_ids_with_qol, qol) = util.get_qol(image_ids, "Delta_qol")
qol = [-1 if _temp <= -0.15 else 0 if _temp < 0.15 else 1 for _temp in qol]
else:
(image_ids_with_qol, qol) = util.get_qol(image_ids, qol_param)
if qol_param not in ["karnofsky", "Delta_kps"]:
qol = [_temp * 100 for _temp in qol]
default_value = -100
print(qol_param)
print(len(qol))
result = util.post_calculations(image_ids_with_qol)
for label in result:
if label == 'img':
continue
print(label)
util.avg_calculation(result[label], label + '_' + qol_param + '_N=112', qol, True, folder, default_value=default_value)
util.median_calculation(result[label], label + '_' + qol_param + '_N=112', qol, True, folder, default_value=default_value)
def process2(folder):
""" Post process data Delta"""
print(folder)
util.setup(folder)
params = ['Delta_qol', 'Delta_qol2', 'Delta_mobility', 'Delta_selfcare', 'Delta_activity', 'Delta_pain', 'Delta_anixety', 'Delta_kps']
image_ids = find_images()
result = util.post_calculations(image_ids)
print(len(result['all']))
util.avg_calculation(result['all'], 'all_N=112', None, True, folder, save_sum=True)
util.avg_calculation(result['img'], 'img_N=112', None, True, folder)
print("\n\n\n\n\n")
for qol_param in params:
if qol_param == "Delta_qol2":
(image_ids_with_qol, qol) = util.get_qol(image_ids, "Delta_qol")
qol = [-1 if _temp <= -0.15 else 0 if _temp < 0.15 else 1 for _temp in qol]
else:
(image_ids_with_qol, qol) = util.get_qol(image_ids, qol_param)
qol = [_temp * 100 for _temp in qol]
default_value = -300
print(qol_param, len(qol))
result = util.post_calculations(image_ids_with_qol)
for label in result:
if label == 'img':
continue
print(label)
# util.avg_calculation(result[label], label + '_' + qol_param, qol, True, folder, default_value=default_value)
util.median_calculation(result[label], label + '_' + qol_param, qol, True, folder, default_value=default_value)
def process4(folder):
""" Post process data tumor volume"""
print(folder)
util.setup(folder)
default_value = 0
label = 'all'
for image_ids in [do_img_registration_GBM.find_images(), find_images(), find_images_163()]:
result = util.post_calculations(image_ids)
(image_ids_with_qol, qol) = util.get_tumor_volume(image_ids)
num = len(result['all'])
print(num)
util.median_calculation(result[label], 'tumor_volume_N=' + str(num), qol, True, folder, default_value=default_value)