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@@ -4,6 +4,7 @@ import dicom
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import numpy as np
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import re
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import slicer
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+from slicer.ScriptedLoadableModule import *
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#rom os import listdir
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#from os.path import isfile, join
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@@ -14,9 +15,10 @@ import slicer
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#root = tk.Tk()
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#root.withdraw()
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#file_path = filedialog.askopenfilename()
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-class parseDicom:
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+class parseDicom(ScriptedLoadableModule):
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def __init__(self, parent):
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- parent.title = "parse dicom"
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+ ScriptedLoadableModule.__init__(self, parent)
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+ parent.title = "parseDicom"
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parent.categories = ["Examples"]
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parent.dependencies = []
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parent.contributors = ["Andrej Studen (FMF/JSI)"] # replace with "Firstname Lastname (Org)"
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@@ -30,279 +32,285 @@ class parseDicom:
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""" # replace with organization, grant and thanks.
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self.parent = parent
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-def filelist(mypath):
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-#mypath=os.environ['PWD']
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-#list files
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- if mypath.find('labkey://')==0:
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- print("Using labkey")
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- labkeyPath=re.sub('labkey://','',mypath)
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- #not sure if labkey is available, so try it
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- net=slicer.modules.labkeySlicerPythonExtensionWidget.network
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- print("Found network")
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- #url=slicer.modules.labkeySlicerPythonExtensionWidget.serverURL.text
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- #print("Seting url={}".format(url))
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- ok, files=net.listRemoteDir(labkeyPath)
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- if not ok:
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- print "Error accessing path"
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- return []
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-
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- if mypath.find('file://')==0:
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- print("Using local files")
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- localPath=re.sub('file://','',mypath)
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- files = [os.path.join(localPath,f) for f in os.listdir(localPath)
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- if os.path.isfile(os.path.join(localPath, f))]
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-
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- return files
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-
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-def getfile(origin,f):
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-
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- if origin.find('labkey')==0:
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- try:
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- #not sure if labkey is available, but try it
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- net=slicer.modules.labkeySlicerPythonExtensionWidget.network
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- print("Using labkey")
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- url=slicer.modules.labkeySlicerPythonExtensionWidget.serverURL.text
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- print("Sever:{0}, file:{1}".format(url,f))
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- return [net.readFile(str(url),f),1]
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- except:
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- print('Could not access labkey. Exiting')
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- return ['NULL',0]
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-
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- if origin.find('file')==0:
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- print("Using local directory")
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- return [f,1]
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+class parseDicomWidget(ScriptedLoadableModuleWidget):
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+ def setup(self):
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+ ScriptedLoadableModuleWidget.setup(self)
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+ self.logic=parseDicomLogic(self)
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- return ['NULL',0]
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+class parseDicomLogic(ScriptedLoadableModuleLogic):
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-def read_dynamic_SPECT(mypath):
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- axisShift=(2,1,0)
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+ def __init__(self,parent):
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+ ScriptedLoadableModuleLogic.__init__(self, parent)
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- origin=re.sub('([^:/])://(.*)$',r'\1',mypath)
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- onlyfiles=filelist(mypath)
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- for f in onlyfiles:
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- print '{}:'.format(f)
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+ def setURIHandler(self,net):
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+ self.net=net
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- g,ok=getfile(origin,f)
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- if not(ok):
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+ def filelist(self,mypath):
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+ if mypath.find('labkey://')==0:
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+ print("Using labkey")
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+ labkeyPath=re.sub('labkey://','',mypath)
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+ #not sure if labkey is available, so try it
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+ #url=slicer.modules.labkeySlicerPythonExtensionWidget.serverURL.text
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+ #print("Seting url={}".format(url))
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+ ok, files=self.net.listRemoteDir(labkeyPath)
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+ if not ok:
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+ print "Error accessing path"
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+ return []
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+
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+ if mypath.find('file://')==0:
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+ print("Using local files")
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+ localPath=re.sub('file://','',mypath)
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+ files = [os.path.join(localPath,f) for f in os.listdir(localPath)
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+ if os.path.isfile(os.path.join(localPath, f))]
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+ return files
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+
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+ def getfile(self,origin,f):
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+
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+ if origin.find('labkey')==0:
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+ try:
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+ #not sure if labkey is available, but try it
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+ print("Using labkey")
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+ url=self.net.GetHostName()
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+ print("Sever:{0}, file:{1}".format(url,f))
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+ return [self.net.readFile(str(url),f),1]
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+ except:
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+ print('Could not access labkey. Exiting')
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+ return ['NULL',0]
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+
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+ if origin.find('file')==0:
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+ print("Using local directory")
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+ return [f,1]
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+
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+ return ['NULL',0]
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+
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+ def read_dynamic_SPECT(self,mypath):
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+ axisShift=(2,1,0)
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+
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+ origin=re.sub('([^:/])://(.*)$',r'\1',mypath)
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+ onlyfiles=self.filelist(mypath)
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+ for f in onlyfiles:
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+ print '{}:'.format(f)
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+
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+ g,ok=self.getfile(origin,f)
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+ if not(ok):
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return
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- try:
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- plan = dicom.read_file(g)
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- except:
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- print ("Not a dicom file")
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- continue
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- try:
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- nframe=plan[0x0019,0x10a5].value;
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- except:
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- print ("Tag not found;")
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- continue
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- if not (type(nframe) is list) :
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- print("nframe not a list")
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- continue
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+ try:
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+ plan = dicom.read_file(g)
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+ except:
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+ print ("Not a dicom file")
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+ continue
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+ try:
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+ nframe=plan[0x0019,0x10a5].value;
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+ except:
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+ print ("Tag not found;")
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+ continue
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+ if not (type(nframe) is list) :
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+ print("nframe not a list")
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+ continue
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#this is the "master" file where data on other files can be had
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#here we found out the duration of the frame and their distribution through
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#phases and cycles
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- print('Found master file')
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+ print('Found master file')
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- for i in range(1,len(nframe)):
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- nframe[i]+=nframe[i-1]
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+ for i in range(1,len(nframe)):
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+ nframe[i]+=nframe[i-1]
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- print(nframe)
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+ print(nframe)
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#nframe now holds for index i total number of frames collected up
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#to the end of each phase
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- frame_start=plan[0x0019,0x10a7].value
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- frame_stop=plan[0x0019,0x10a8].value
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- frame_duration=plan[0x0019,0x10a9].value
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- break
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+ frame_start=plan[0x0019,0x10a7].value
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+ frame_stop=plan[0x0019,0x10a8].value
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+ frame_duration=plan[0x0019,0x10a9].value
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+ break
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#print "rep [{}] start [{}] stop [{}] duration [{}]".format(
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#len(rep),len(rep_start),len(rep_stop),len(rep_duration))
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#select AC reconstructed data
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- frame_time=np.zeros(nframe[-1]);
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- frame_data=np.empty([1,1,1,nframe[-1]])
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- center = [0,0,0]
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- pixel_size =[0,0,0]
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- frame_orientation=[0,0,0,0,0,0]
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- for f in onlyfiles:
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-
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- g,ok=getfile(origin,f)
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- if not(ok):
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+ frame_time=np.zeros(nframe[-1]);
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+ frame_data=np.empty([1,1,1,nframe[-1]])
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+ center = [0,0,0]
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+ pixel_size =[0,0,0]
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+ frame_orientation=[0,0,0,0,0,0]
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+ for f in onlyfiles:
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+
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+ g,ok=self.getfile(origin,f)
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+ if not(ok):
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+ continue
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+
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+ try:
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+ plan = dicom.read_file(g)
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+ except:
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+ print ("Not a dicom file")
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+ continue
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+
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+ try:
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+ pf=plan[0x0018,0x5020]
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+ except:
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+ print ("ProcessingFunction not found")
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continue
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- try:
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- plan = dicom.read_file(g)
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- except:
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- print ("Not a dicom file")
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- continue
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-
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- try:
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- pf=plan[0x0018,0x5020]
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- except:
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- print ("ProcessingFunction not found")
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- continue
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-
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- try:
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- phase=plan[0x0035,0x1005].value
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- cycle=plan[0x0035,0x1004].value
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- except:
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- print ("Phase/Cycle tag not found")
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- continue
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-
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- #convert phase/cycle to frame index
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- off=0
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- if phase > 1:
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- off=nframe[phase-2]
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- ifi=off+cycle-1
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+ try:
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+ phase=plan[0x0035,0x1005].value
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+ cycle=plan[0x0035,0x1004].value
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+ except:
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+ print ("Phase/Cycle tag not found")
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+ continue
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+
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+ #convert phase/cycle to frame index
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+ off=0
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+ if phase > 1:
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+ off=nframe[phase-2]
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+ ifi=off+cycle-1
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#from values in the master file determine frame time
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#(as the mid point between starting and ending the frame)
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- frame_time[ifi]=0.5*(frame_start[ifi]+frame_stop[ifi]); #in ms
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+ frame_time[ifi]=0.5*(frame_start[ifi]+frame_stop[ifi]); #in ms
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- print "({},{}) converted to {} at {} for {}".format(
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- phase,cycle,ifi,frame_time[ifi],frame_duration[ifi])
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+ print "({},{}) converted to {} at {} for {}".format(
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+ phase,cycle,ifi,frame_time[ifi],frame_duration[ifi])
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#play with pixel data
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- if frame_data.shape[0] == 1:
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- sh=np.transpose(plan.pixel_array,axisShift).shape;
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- sh=list(sh)
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- sh.append(nframe[-1])
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- frame_data=np.empty(sh)
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- print "Setting frame_data to",sh
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+ if frame_data.shape[0] == 1:
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+ sh=np.transpose(plan.pixel_array,axisShift).shape;
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+ sh=list(sh)
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+ sh.append(nframe[-1])
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+ frame_data=np.empty(sh)
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+ print "Setting frame_data to",sh
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#check & update pixel size
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- pixel_size_read=[plan.PixelSpacing[0],plan.PixelSpacing[1],
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+ pixel_size_read=[plan.PixelSpacing[0],plan.PixelSpacing[1],
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plan.SliceThickness]
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- for i in range(0,3):
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- if pixel_size[i] == 0:
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- pixel_size[i] = float(pixel_size_read[i])
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- if abs(pixel_size[i]-pixel_size_read[i]) > 1e-3:
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- print 'Pixel size mismatch {.2f}/{.2f}'.format(pixel_size[i],
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- pixel_size_read[i])
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-
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- center_read=plan.DetectorInformationSequence[0].ImagePositionPatient
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- print "Stored center at ({0},{1},{2})".format(center[0],center[1],center[2])
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- print "Read center at ({0},{1},{2})".format(center_read[0],center_read[1],center_read[2])
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- for i in range(0,3):
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- if center[i] == 0:
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- center[i] = float(center_read[i])
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- if abs(center[i]-center_read[i]) > 1e-3:
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- print 'Image center mismatch {.2f}/{.2f}'.format(center[i],
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+ for i in range(0,3):
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+ if pixel_size[i] == 0:
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+ pixel_size[i] = float(pixel_size_read[i])
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+ if abs(pixel_size[i]-pixel_size_read[i]) > 1e-3:
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+ print 'Pixel size mismatch {.2f}/{.2f}'.format(pixel_size[i],
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+ pixel_size_read[i])
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+
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+ center_read=plan.DetectorInformationSequence[0].ImagePositionPatient
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+ print "Stored center at ({0},{1},{2})".format(center[0],center[1],center[2])
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+ print "Read center at ({0},{1},{2})".format(center_read[0],center_read[1],center_read[2])
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+ for i in range(0,3):
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+ if center[i] == 0:
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+ center[i] = float(center_read[i])
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+ if abs(center[i]-center_read[i]) > 1e-3:
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+ print 'Image center mismatch {.2f}/{.2f}'.format(center[i],
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center_read[i])
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- frame_orientation_read=plan.DetectorInformationSequence[0].ImageOrientationPatient
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- for i in range(0,6):
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- if frame_orientation[i] == 0:
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- frame_orientation[i] = float(frame_orientation_read[i])
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- if abs(frame_orientation[i]-frame_orientation_read[i]) > 1e-3:
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- print 'Image orientation mismatch {.2f}/{.2f}'.format(
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+ frame_orientation_read=plan.DetectorInformationSequence[0].ImageOrientationPatient
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+ for i in range(0,6):
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+ if frame_orientation[i] == 0:
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+ frame_orientation[i] = float(frame_orientation_read[i])
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+ if abs(frame_orientation[i]-frame_orientation_read[i]) > 1e-3:
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+ print 'Image orientation mismatch {.2f}/{.2f}'.format(
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frame_rotation[i], frame_orientation_read[i])
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- frame_data[:,:,:,ifi]=np.transpose(plan.pixel_array,axisShift)
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+ frame_data[:,:,:,ifi]=np.transpose(plan.pixel_array,axisShift)
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#print('Orientation: ({0:.2f},{1:.2f},{2:.2f}),({3:.2f},{4:.2f},{5:.2f})').format( \
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# frame_orientation[0],frame_orientation[1],frame_orientation[2], \
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# frame_orientation[3],frame_orientation[4],frame_orientation[5])
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- return [frame_data,frame_time,center,pixel_size,frame_orientation]
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+ return [frame_data,frame_time,center,pixel_size,frame_orientation]
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-def read_CT(mypath):
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- onlyfiles=filelist(mypath)
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- origin=re.sub('([^:/])://(.*)$',r'\1',mypath)
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+ def read_CT(self,mypath):
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+ onlyfiles=self.filelist(mypath)
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+ origin=re.sub('([^:/])://(.*)$',r'\1',mypath)
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- ct_data = []
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- ct_idx = []
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- ct_z = []
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- ct_pixel_size = [0,0,0]
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- ct_center = [0,0,0]
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- ct_center[2]=1e30
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- ct_orientation=[0,0,0,0,0,0]
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- for f in onlyfiles:
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- print '{}:'.format(f)
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+ ct_data = []
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+ ct_idx = []
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+ ct_z = []
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+ ct_pixel_size = [0,0,0]
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+ ct_center = [0,0,0]
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+ ct_center[2]=1e30
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+ ct_orientation=[0,0,0,0,0,0]
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+ for f in onlyfiles:
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+ print '{}:'.format(f)
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- g,ok=getfile(origin,f)
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- if not(ok):
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+ g,ok=self.getfile(origin,f)
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+ if not(ok):
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return
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- try:
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- plan = dicom.read_file(g)
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- except:
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- print ("Not a dicom file")
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- continue
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+ try:
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+ plan = dicom.read_file(g)
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+ except:
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+ print ("Not a dicom file")
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+ continue
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- if plan.Modality != 'CT':
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- print ('Not a CT file')
|
|
|
- continue
|
|
|
+ if plan.Modality != 'CT':
|
|
|
+ print ('Not a CT file')
|
|
|
+ continue
|
|
|
|
|
|
#this doesn't work in 2019 data version
|
|
|
#if re.match("AC",plan.SeriesDescription) == None:
|
|
|
# print (plan.SeriesDescription)
|
|
|
# print ('Not a AC file')
|
|
|
# continue
|
|
|
- try:
|
|
|
- iType=plan.ImageType
|
|
|
- except:
|
|
|
- print "Image type not found"
|
|
|
- continue;
|
|
|
-
|
|
|
- if iType[3].find("SPI")<0:
|
|
|
- print "Not a spiral image"
|
|
|
- continue;
|
|
|
-
|
|
|
-
|
|
|
- #a slice of pure CT
|
|
|
- print '.',
|
|
|
- ct_data.append(plan.pixel_array)
|
|
|
- ct_idx.append(plan.InstanceNumber)
|
|
|
- ct_z.append(plan.ImagePositionPatient[2])
|
|
|
- #ct_center.append(plan.ImagePositionPatient)
|
|
|
-
|
|
|
- pixel_size_read=[plan.PixelSpacing[0],plan.PixelSpacing[1],
|
|
|
- plan.SliceThickness]
|
|
|
-
|
|
|
-
|
|
|
- for i in range(0,3):
|
|
|
- if ct_pixel_size[i] == 0:
|
|
|
- ct_pixel_size[i] = float(pixel_size_read[i])
|
|
|
- if abs(ct_pixel_size[i]-pixel_size_read[i]) > 1e-3:
|
|
|
- print 'Pixel size mismatch {.2f}/{.2f}'.format(ct_pixel_size[i],
|
|
|
- pixel_size_read[i])
|
|
|
-
|
|
|
- for i in range(0,2):
|
|
|
- if ct_center[i] == 0:
|
|
|
- ct_center[i] = float(plan.ImagePositionPatient[i])
|
|
|
- if abs(ct_center[i]-plan.ImagePositionPatient[i]) > 1e-3:
|
|
|
+ try:
|
|
|
+ iType=plan.ImageType
|
|
|
+ except:
|
|
|
+ print "Image type not found"
|
|
|
+ continue;
|
|
|
+
|
|
|
+ if iType[3].find("SPI")<0:
|
|
|
+ print "Not a spiral image"
|
|
|
+ continue;
|
|
|
+
|
|
|
+
|
|
|
+ #a slice of pure CT
|
|
|
+ print '.',
|
|
|
+ ct_data.append(plan.pixel_array)
|
|
|
+ ct_idx.append(plan.InstanceNumber)
|
|
|
+ ct_z.append(plan.ImagePositionPatient[2])
|
|
|
+
|
|
|
+ pixel_size_read=[plan.PixelSpacing[0],plan.PixelSpacing[1],
|
|
|
+ plan.SliceThickness]
|
|
|
+
|
|
|
+
|
|
|
+ for i in range(0,3):
|
|
|
+ if ct_pixel_size[i] == 0:
|
|
|
+ ct_pixel_size[i] = float(pixel_size_read[i])
|
|
|
+ if abs(ct_pixel_size[i]-pixel_size_read[i]) > 1e-3:
|
|
|
+ print 'Pixel size mismatch {.2f}/{.2f}'.format(ct_pixel_size[i],
|
|
|
+ pixel_size_read[i])
|
|
|
+
|
|
|
+ for i in range(0,2):
|
|
|
+ if ct_center[i] == 0:
|
|
|
+ ct_center[i] = float(plan.ImagePositionPatient[i])
|
|
|
+ if abs(ct_center[i]-plan.ImagePositionPatient[i]) > 1e-3:
|
|
|
print 'Image center mismatch {.2f}/{.2f}'.format(ct_center[i],
|
|
|
plan.ImagePositionPatient[i])
|
|
|
#not average, but minimum (!) why??
|
|
|
|
|
|
- if plan.ImagePositionPatient[2]<ct_center[2]:
|
|
|
- ct_center[2]=plan.ImagePositionPatient[2]
|
|
|
+ if plan.ImagePositionPatient[2]<ct_center[2]:
|
|
|
+ ct_center[2]=plan.ImagePositionPatient[2]
|
|
|
|
|
|
- for i in range(0,6):
|
|
|
- if ct_orientation[i] == 0:
|
|
|
- ct_orientation[i] = float(plan.ImageOrientationPatient[i])
|
|
|
- if abs(ct_orientation[i]-plan.ImageOrientationPatient[i]) > 1e-3:
|
|
|
- print 'Image orientation mismatch {0:.2f}/{1:.2f}'.format(ct_orientation[i],
|
|
|
- plan.ImageOrientationPatient[i])
|
|
|
+ for i in range(0,6):
|
|
|
+ if ct_orientation[i] == 0:
|
|
|
+ ct_orientation[i] = float(plan.ImageOrientationPatient[i])
|
|
|
+ if abs(ct_orientation[i]-plan.ImageOrientationPatient[i]) > 1e-3:
|
|
|
+ print 'Image orientation mismatch {0:.2f}/{1:.2f}'.format(ct_orientation[i],
|
|
|
+ plan.ImageOrientationPatient[i])
|
|
|
|
|
|
- print
|
|
|
- nz=len(ct_idx)
|
|
|
+ print
|
|
|
+ nz=len(ct_idx)
|
|
|
#not average, again
|
|
|
#ct_center[2]/=nz
|
|
|
- sh=ct_data[-1].shape
|
|
|
- sh_list=list(sh)
|
|
|
- sh_list.append(nz)
|
|
|
- data_array=np.zeros(sh_list)
|
|
|
+ sh=ct_data[-1].shape
|
|
|
+ sh_list=list(sh)
|
|
|
+ sh_list.append(nz)
|
|
|
+ data_array=np.zeros(sh_list)
|
|
|
|
|
|
- for k in range(0,nz):
|
|
|
- kp=int(np.round((ct_z[k]-ct_center[2])/ct_pixel_size[2]))
|
|
|
- data_array[:,:,kp]=np.transpose(ct_data[k])
|
|
|
+ for k in range(0,nz):
|
|
|
+ kp=int(np.round((ct_z[k]-ct_center[2])/ct_pixel_size[2]))
|
|
|
+ data_array[:,:,kp]=np.transpose(ct_data[k])
|
|
|
|
|
|
- return data_array,ct_center,ct_pixel_size,ct_orientation
|
|
|
+ return data_array,ct_center,ct_pixel_size,ct_orientation
|