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February 13, 2012 12:08
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pyxnat example: run fsl-bet against Central
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import sys, os | |
from subprocess import Popen | |
import multiprocessing as mp | |
import pyxnat | |
URL = 'https://central.xnat.org' # central URL | |
BET = 'fsl4.1-bet2' # BET executable path | |
central = pyxnat.Interface(URL) # connection object | |
def bet(in_img, in_hdr): # Python wrapper on FSL BET, essentially a system call | |
in_image = in_img.get() # download .img | |
in_hdr.get() # download .hdr | |
path, name = os.path.split(in_image) | |
in_image = os.path.join(path, name.rsplit('.')[0]) | |
out_image = os.path.join(path, name.rsplit('.')[0] + '_brain') | |
print '==> %s' % in_image[-120:] | |
Popen('%s %s %s' % (BET, in_image, out_image), | |
shell=True).communicate() | |
return out_image | |
notify = lambda m: sys.stdout.write('<== %s\n' % m[-120:]) # print finish message | |
pool = mp.Pool(processes=mp.cpu_count() * 2) # pool of concurrent workers | |
images = {} | |
query = ('/projects/CENTRAL_OASIS_CS/subjects/*' | |
'/experiments/*_MR1/scans/mpr-1*/resources/*/files/*') | |
filter_ = [('xnat:mrSessionData/AGE', '>', '80'), 'AND'] | |
for f in central.select(query).where(filter_): | |
label = f.label() | |
# images are stored in pairs of files (.img, .hdr) in this project | |
if label.endswith('.img'): | |
images.setdefault(label.split('.')[0], []).append(f) | |
if f.label().endswith('.hdr'): | |
images.setdefault(label.split('.')[0], []).append(f) | |
# download and process both occur in parallel within the workers | |
for name in images.keys(): | |
if len(images[name]) == 2: # if .img and .hdr XNAT references are ready | |
img, hdr = images.pop(name) # get references | |
pool.apply_async(bet, (img, hdr), callback=notify) # start worker | |
pool.close() | |
pool.join() |
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