Source code for pymedphys.labs.pinnacle.pinnacle_plan

# Copyright (C) 2019 South Western Sydney Local Health District,
# University of New South Wales

# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
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# ADDITIONAL TERMS are also included as allowed by Section 7 of the GNU
# Affero General Public License. These additional terms are Sections 1, 5,
# 6, 7, 8, and 9 from the Apache License, Version 2.0 (the "Apache-2.0")
# where all references to the definition "License" are instead defined to
# mean the AGPL-3.0+.

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# program. If not, see <http://www.apache.org/licenses/LICENSE-2.0>.

# This work is derived from:
# https://github.com/AndrewWAlexander/Pinnacle-tar-DICOM
# which is released under the following license:

# Copyright (c) [2017] [Colleen Henschel, Andrew Alexander]

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# of this software and associated documentation files (the "Software"), to deal
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# The following needs to be removed before leaving labs
# pylint: skip-file

import os
import re

import pydicom

from .pinn_yaml import pinn_to_dict
from .rtstruct import find_iso_center

# Medical Connections offers free valid UIDs
# (http://www.medicalconnections.co.uk/FreeUID.html)
# Their service was used to obtain the following root UID for this tool:
UID_PREFIX = "1.2.826.0.1.3680043.10.202."


[docs]class PinnaclePlan: """Represents a plan within the Pinnacle data. This class manages the data specific to a plan within a Pinnacle dataset. Parameters ---------- pinnacle : PinnacleExport PinnacleExport object representing the dataset. path : str Path to raw Pinnacle data (directoy containing 'Patient' file). plan : dict Plan info dict from 'Patient' file. """ def __init__(self, pinnacle, path, plan): self._pinnacle = pinnacle self._path = path self._plan_info = plan self._machine_info = None # Data of the machines used for this plan self._trials = None # Data found in plan.Trial self._trial_info = None # 'Active' trial for this plan self._points = None # Data found in plan.Points self._patient_setup = None # Data found in PatientSetup file self._primary_image = None # Primary image for this plan self._uid_prefix = UID_PREFIX # The prefix for UIDs generated self._roi_count = 0 # Store the total number of ROIs self._iso_center = [] # Store the iso center of this plan self._ct_center = [] # Store the ct center of the primary image of this plan self._dose_ref_pt = [] # Store the dose ref point of this plan self._plan_inst_uid = None # UID for RTPlan instance self._dose_inst_uid = None # UID for RTDose instance self._struct_inst_uid = None # UID for RTStruct instance for image in pinnacle.images: if image.image["ImageSetID"] == self.plan_info["PrimaryCTImageSetID"]: self._primary_image = image @property def logger(self): """Gets the configured logger. Returns ------- logger : Logger Logger configured. """ return self._pinnacle.logger @property def pinnacle(self): """Gets the PinnacleExport object. Returns ------- pinnacle : PinnacleExport PinnacleExport object for this dataset. """ return self._pinnacle @property def path(self): """Gets the path of the Pinnacle data. Returns ------- path : str Path containing the Pinnacle data. """ return self._path @property def primary_image(self): """Gets the primary image for this plan. Returns ------- primary_image : PinnacleImage PinnacleImage representing the primary image for this plan. """ return self._primary_image @property def machine_info(self): """Gets the machine info for this plan. Returns ------- machine_info : dict Machine info read from 'plan.Pinnacle.Machines' file. """ if not self._machine_info: path_machine = os.path.join(self._path, "plan.Pinnacle.Machines") self.logger.debug("Reading machine data from: " + path_machine) self._machine_info = pinn_to_dict(path_machine) return self._machine_info @property def trials(self): """Gets the trials within this plan. Returns ------- trials : list List of all trials found within this plan. """ if not self._trials: path_trial = os.path.join(self._path, "plan.Trial") self.logger.debug("Reading trial data from: " + path_trial) self._trials = pinn_to_dict(path_trial) if isinstance(self._trials, dict): self._trials = [self._trials["Trial"]] # Select the first trial by default if not self._trial_info: self._trial_info = self._trials[0] self.logger.debug("Number of trials read: " + str(len(self._trials))) self.logger.debug("Active Trial: " + self._trial_info["Name"]) return self._trials @property def active_trial(self): """Get and set the active trial for this plan. When DICOM objects are exported, data from the active trial is used to generate the output. """ return self._trial_info @active_trial.setter def active_trial(self, trial_name): if isinstance(trial_name, str): for trial in self._trials: if trial["Name"] == trial_name: self._trial_info = trial self.logger.info("Active Trial set: " + trial_name) return True return False @property def plan_info(self): """Gets the plan information for this plan. Returns ------- plan_info : dict Plan info as found in the Pinnacle 'Patient' file. """ return self._plan_info @property def trial_info(self): """Gets the trial information of the active trial. Returns ------- trial_info : dict Trial info from the 'plan.Trial' file. """ if not self._trial_info: # Ensures that the trials are read and a default # trial_info is set self.trials # pylint: disable=pointless-statement return self._trial_info @property def points(self): """Gets the points defined within the plan. Returns ------- points : list List of points read from the 'plan.Points' file. """ if not self._points: path_points = os.path.join(self._path, "plan.Points") self.logger.debug("Reading points data from: " + path_points) self._points = pinn_to_dict(path_points) if type(self._points) == dict: self._points = [self._points["Poi"]] if self._points == None: self._points = [] return self._points @property def patient_position(self): """Gets the patient position Returns ------- patient_position : str The patient position for this plan. """ if not self._patient_setup: self._patient_setup = pinn_to_dict( os.path.join(self._path, "plan.PatientSetup") ) pat_pos = "" if "Head First" in self._patient_setup["Orientation"]: pat_pos = "HF" elif "Feet First" in self._patient_setup["Orientation"]: pat_pos = "FF" if "supine" in self._patient_setup["Position"]: pat_pos = pat_pos + "S" elif "prone" in self._patient_setup["Position"]: pat_pos = pat_pos + "P" elif ( "decubitus right" in self._patient_setup["Position"] or "Decuibitus Right" in self._patient_setup["Position"] ): pat_pos = pat_pos + "DR" elif ( "decubitus left" in self._patient_setup["Position"] or "Decuibitus Left" in self._patient_setup["Position"] ): pat_pos = pat_pos + "DL" return pat_pos @property def iso_center(self): """Gets and sets the iso center for this plan. """ if len(self._iso_center) == 0: find_iso_center(self) return self._iso_center @iso_center.setter def iso_center(self, iso_center): self._iso_center = iso_center
[docs] def is_prefix_valid(self, prefix): """Check if a UID prefix is valid. Parameters ---------- prefix : str The UID prefix to check. Returns: True if valid, False otherwise. """ if re.match(pydicom.uid.RE_VALID_UID_PREFIX, prefix): return True return False
[docs] def generate_uids(self, uid_type="HASH"): """Generates UIDs to be used for exporting this plan. Parameters ---------- uid_type : str, optional If 'HASH', the entropy will be generated to hash to consistant UIDs. If not then random UIDs will be generated. Default: 'HASH' """ entropy_srcs = None if uid_type == "HASH": entropy_srcs = [] entropy_srcs.append(self._pinnacle.patient_info["MedicalRecordNumber"]) entropy_srcs.append(self.plan_info["PlanName"]) entropy_srcs.append(self.trial_info["Name"]) entropy_srcs.append(self.trial_info["ObjectVersion"]["WriteTimeStamp"]) RTPLAN_prefix = self._uid_prefix + "1." self._plan_inst_uid = pydicom.uid.generate_uid( prefix=RTPLAN_prefix, entropy_srcs=entropy_srcs ) RTDOSE_prefix = self._uid_prefix + "2." self._dose_inst_uid = pydicom.uid.generate_uid( prefix=RTDOSE_prefix, entropy_srcs=entropy_srcs ) RTSTRUCT_prefix = self._uid_prefix + "3." self._struct_inst_uid = pydicom.uid.generate_uid( prefix=RTSTRUCT_prefix, entropy_srcs=entropy_srcs ) self.logger.debug("Plan Instance UID: " + self._plan_inst_uid) self.logger.debug("Dose Instance UID: " + self._dose_inst_uid) self.logger.debug("Struct Instance UID: " + self._struct_inst_uid)
@property def plan_inst_uid(self): """Gets the instance UID for RTPLAN. Returns ------- uid : str The UID to use for the plan. """ if not self._plan_inst_uid: self.generate_uids() return self._plan_inst_uid @property def dose_inst_uid(self): """Gets the instance UID for RTDOSE. Returns ------- uid : str The UID to use for the dose. """ if not self._dose_inst_uid: self.generate_uids() return self._dose_inst_uid @property def struct_inst_uid(self): """Gets the instance UID for RTSTRUCT. Returns ------- uid : str The UID to use for the struct. """ if not self._struct_inst_uid: self.generate_uids() return self._struct_inst_uid # Convert the point from the pinnacle plan format to dicom
[docs] def convert_point(self, point): """Convert a point from Pinnacle coordinates to DICOM coordinates. Parameters ---------- point : list The point to convert. Returns ------- The converted point. """ image_header = self.primary_image.image_header refpoint = [point["XCoord"] * 10, point["YCoord"] * 10, point["ZCoord"] * 10] if ( image_header["patient_position"] == "HFP" or image_header["patient_position"] == "FFS" ): refpoint[0] = -refpoint[0] if ( image_header["patient_position"] == "HFS" or image_header["patient_position"] == "FFS" ): refpoint[1] = -(refpoint[1]) if ( image_header["patient_position"] == "HFS" or image_header["patient_position"] == "HFP" ): refpoint[2] = -(refpoint[2]) point["refpoint"] = refpoint refpoint[0] = round(refpoint[0], 5) refpoint[1] = round(refpoint[1], 5) refpoint[2] = round(refpoint[2], 5) return refpoint