|
@@ -1,15 +1,22 @@
|
|
|
|
+# synchronizer : converts Pulseq (.seq) files into sequences of amplitude, time and synchro sets.
|
|
|
|
+# Output is given by MRI machine
|
|
|
|
+# Babich Nikita, Kozin Roman, Karsakov Grigory
|
|
|
|
+# March 2024
|
|
|
|
+
|
|
import numpy as np
|
|
import numpy as np
|
|
-import json
|
|
|
|
from matplotlib import pyplot as plt
|
|
from matplotlib import pyplot as plt
|
|
from pulseq_fixed import sequence_fixed as puls_fix
|
|
from pulseq_fixed import sequence_fixed as puls_fix
|
|
|
|
|
|
-seq_file = "seq_store/SE_rfdeath_5000.seq"
|
|
|
|
-seq_input = puls_fix.Sequence()
|
|
|
|
-seq_input.read(file_path=seq_file)
|
|
|
|
-seq_output_dict = seq_input.waveforms_export(time_range=(0, 3))
|
|
|
|
-
|
|
|
|
|
|
|
|
def output_seq(dict):
|
|
def output_seq(dict):
|
|
|
|
+ """
|
|
|
|
+ The interpretation from pypulseq format of sequence to the files needed to analog part of MRI
|
|
|
|
+
|
|
|
|
+ :param dict: Dictionary of the impulse sequence pypulseq provided
|
|
|
|
+
|
|
|
|
+ :return: files in "data_output_seq/" directory of every type of amplitudes and time points
|
|
|
|
+
|
|
|
|
+ """
|
|
loc_t_adc = dict['t_adc']
|
|
loc_t_adc = dict['t_adc']
|
|
loc_t_rf = dict['t_rf']
|
|
loc_t_rf = dict['t_rf']
|
|
loc_t_rf_centers = dict['t_rf_centers']
|
|
loc_t_rf_centers = dict['t_rf_centers']
|
|
@@ -60,77 +67,13 @@ def output_seq(dict):
|
|
f.write(data)
|
|
f.write(data)
|
|
|
|
|
|
|
|
|
|
-output_seq(seq_output_dict)
|
|
|
|
-
|
|
|
|
-# added type check in Sequence.block, read does not make an empty variable with a type
|
|
|
|
-# is there the other way to do it?
|
|
|
|
-# print(seq_output_dict['gx'])
|
|
|
|
-# Engage what exactly every array means
|
|
|
|
-# print(seq_input.waveforms_and_times())
|
|
|
|
-# plt.plot()
|
|
|
|
-# plt.show()
|
|
|
|
-
|
|
|
|
-# print(seq_output_dict)
|
|
|
|
-# t_adc t_rf t_rf_centers t_gx t_gy t_gz adc rf rf_centers gx gy gz
|
|
|
|
-# seq_input.plot()
|
|
|
|
-
|
|
|
|
-# plt.plot(seq_output_dict['t_rf'], seq_output_dict['rf'])
|
|
|
|
-# plt.show()
|
|
|
|
-# plt.plot(seq_output_dict['t_adc'], seq_output_dict['adc'])
|
|
|
|
-# plt.show()
|
|
|
|
-
|
|
|
|
-
|
|
|
|
-local_definitions = seq_input.definitions
|
|
|
|
-ADC_raster = local_definitions['AdcRasterTime']
|
|
|
|
-RF_raster = local_definitions['RadiofrequencyRasterTime']
|
|
|
|
-
|
|
|
|
-RF_dtime = 100 * 1e-6
|
|
|
|
-TR_dtime = 100 * 1e-6
|
|
|
|
-# artificial delays
|
|
|
|
-
|
|
|
|
-time_info = seq_input.duration()
|
|
|
|
-blocks_number = time_info[1]
|
|
|
|
-time_dur = time_info[0]
|
|
|
|
-time_step = 20 * 1e-9
|
|
|
|
-N_samples = int(time_dur / time_step)
|
|
|
|
-# TODO: why two times bigger? what effort on output
|
|
|
|
-time_sample = np.linspace(0, time_dur, N_samples)
|
|
|
|
-
|
|
|
|
-gate_adc = np.zeros(N_samples)
|
|
|
|
-gate_rf = np.zeros(N_samples)
|
|
|
|
-gate_tr_switch = np.ones(N_samples)
|
|
|
|
-gate_gx = np.zeros(N_samples)
|
|
|
|
-gate_gy = np.zeros(N_samples)
|
|
|
|
-gate_gz = np.zeros(N_samples)
|
|
|
|
-
|
|
|
|
-local_delay_rf = RF_dtime
|
|
|
|
-local_delay_tr = TR_dtime
|
|
|
|
-local_raster_time = time_step
|
|
|
|
-
|
|
|
|
-# TODO: function defining beginning and ending of the RF events
|
|
|
|
-RF_assintant = [seq_output_dict['t_rf'][0] - RF_dtime, seq_output_dict['t_rf'][-1]]
|
|
|
|
-
|
|
|
|
-
|
|
|
|
-def gates_output(gates, synchro_impulse=20 * 1e-9):
|
|
|
|
- for i_loc in range(len(gates['gx'])):
|
|
|
|
- a = 1
|
|
|
|
- with open('data_output/tr_switch.txt', 'w') as f:
|
|
|
|
- data = str(tuple(gates['tr_switch']))
|
|
|
|
- f.write(data)
|
|
|
|
- with open('data_output/rf.txt', 'w') as f:
|
|
|
|
- data = str(tuple(gates['rf']))
|
|
|
|
- f.write(data)
|
|
|
|
- with open('data_output/adc.txt', 'w') as f:
|
|
|
|
- data = str(tuple(gates['adc']))
|
|
|
|
- f.write(data)
|
|
|
|
- data = {'gate_gx': tuple(gates['gx']),
|
|
|
|
- 'gate_gy': tuple(gates['gy']),
|
|
|
|
- 'gate_gz': tuple(gates['gz'])}
|
|
|
|
- with open('data_output/gradient_gates.json', 'w') as outfile:
|
|
|
|
- json.dump(data, outfile)
|
|
|
|
-
|
|
|
|
-
|
|
|
|
def adc_correction():
|
|
def adc_correction():
|
|
|
|
+ """
|
|
|
|
+ Helper function that rise times for correction of ADC events
|
|
|
|
+
|
|
|
|
+ :return: rise_time: float, stores in pulseq, related to exact type of gradient events
|
|
|
|
+ fall_time: float, same as rise_time
|
|
|
|
+ """
|
|
rise_time, fall_time = None, None
|
|
rise_time, fall_time = None, None
|
|
is_adc_inside = False
|
|
is_adc_inside = False
|
|
for j in range(blocks_number - 1):
|
|
for j in range(blocks_number - 1):
|
|
@@ -145,6 +88,12 @@ def adc_correction():
|
|
|
|
|
|
|
|
|
|
def adc_event_edges(local_gate_adc):
|
|
def adc_event_edges(local_gate_adc):
|
|
|
|
+ """
|
|
|
|
+ Helper function that rise numbers of blocks of border correction of ADC events
|
|
|
|
+
|
|
|
|
+ :return: num_begin_l: int, number of time block when adc event starts
|
|
|
|
+ num_finish_l: int, same but ends
|
|
|
|
+ """
|
|
num_begin_l = 0
|
|
num_begin_l = 0
|
|
flag_begin = False
|
|
flag_begin = False
|
|
flag_finish = False
|
|
flag_finish = False
|
|
@@ -159,59 +108,107 @@ def adc_event_edges(local_gate_adc):
|
|
return num_begin_l, num_finish_l
|
|
return num_begin_l, num_finish_l
|
|
|
|
|
|
|
|
|
|
-for i in range(N_samples):
|
|
|
|
- # delaying of RF event for time period of local delay
|
|
|
|
- if RF_assintant[0] - RF_raster < time_sample[i] < RF_assintant[0] + RF_raster:
|
|
|
|
- RF_stop = int(RF_assintant[1] / time_step)
|
|
|
|
- gate_rf[i:RF_stop] = 1.0
|
|
|
|
- var = 1
|
|
|
|
- # mandatory disabling of RF gate due to ADC work same time
|
|
|
|
- gate_rf_2 = map(lambda x: time_sample[i] - ADC_raster < x < time_sample[i] + ADC_raster and 1 or 0,
|
|
|
|
- seq_output_dict['t_adc'])
|
|
|
|
- if np.any(np.array(list(gate_rf_2)) > 0):
|
|
|
|
- gate_rf[i] = 0.0
|
|
|
|
- # TR switch with own delay before ADC turning
|
|
|
|
- gate_tr_1 = map(lambda x: time_sample[i] - ADC_raster < x < time_sample[i] + ADC_raster and 1 or 0,
|
|
|
|
- seq_output_dict['t_adc'])
|
|
|
|
- if np.any(np.array(list(gate_tr_1)) > 0):
|
|
|
|
- block_delay_tr = int(local_delay_tr / time_step)
|
|
|
|
- gate_tr_switch[i - block_delay_tr:i + 1] = 0.0
|
|
|
|
- # first step of ADC gate - enabling
|
|
|
|
- # TODO: ADC gate feeling gradients form of rise and fall
|
|
|
|
- gate_adc_1 = map(lambda x: time_sample[i] - ADC_raster < x < time_sample[i] + ADC_raster and 1 or 0,
|
|
|
|
- seq_output_dict['t_adc'])
|
|
|
|
- if np.any(np.array(list(gate_adc_1)) > 0):
|
|
|
|
- gate_adc[i] = 1.0
|
|
|
|
-
|
|
|
|
-# adc correction sue to rise and fall time of gradient
|
|
|
|
-# defining time that ADC need to be disabled during of
|
|
|
|
-rise_time_loc, fall_time_loc = adc_correction()
|
|
|
|
-num_beg, num_fin = adc_event_edges(gate_adc)
|
|
|
|
-rise_time_tick = int(rise_time_loc / time_step)
|
|
|
|
-fall_time_tick = int(rise_time_loc / time_step)
|
|
|
|
-gate_adc[num_beg:num_beg + rise_time_tick] = 0.0
|
|
|
|
-gate_adc[num_fin - fall_time_tick:num_fin + 1] = 0.0
|
|
|
|
-
|
|
|
|
-gates_release = {"adc": gate_adc,
|
|
|
|
- "rf": gate_rf,
|
|
|
|
- "tr_switch": gate_tr_switch,
|
|
|
|
- "gx": gate_gx,
|
|
|
|
- "gy": gate_gy,
|
|
|
|
- "gz": gate_gz}
|
|
|
|
-
|
|
|
|
-plt.plot(seq_output_dict['t_gx'][:int(N_samples)], seq_output_dict['gx'][:int(N_samples)])
|
|
|
|
-plt.plot(seq_output_dict['t_gy'][:int(N_samples)], seq_output_dict['gy'][:int(N_samples)])
|
|
|
|
-plt.plot(seq_output_dict['t_gz'][:int(N_samples)], seq_output_dict['gz'][:int(N_samples)])
|
|
|
|
-plt.savefig("plots_output/gradients.png")
|
|
|
|
-plt.show()
|
|
|
|
-
|
|
|
|
-plt.plot(seq_output_dict['t_gx'][:int(N_samples)], seq_output_dict['gx'][:int(N_samples)] / 720)
|
|
|
|
-plt.plot(time_sample[:int(N_samples)], gate_adc[:int(N_samples)], label='ADC gate')
|
|
|
|
-plt.plot(time_sample[:int(N_samples)], gate_tr_switch[:int(N_samples)], label='TR switch')
|
|
|
|
-plt.plot(seq_output_dict['t_rf'], seq_output_dict['rf'] / 210, label='RF signal')
|
|
|
|
-plt.plot(time_sample[:int(N_samples)], gate_rf[:int(N_samples)], label='RF gate')
|
|
|
|
-plt.legend()
|
|
|
|
-plt.savefig("plots_output/synchro_pulse.png")
|
|
|
|
-plt.show()
|
|
|
|
|
|
+def synchronization(N_samples):
|
|
|
|
+ ### MAIN LOOP ###
|
|
|
|
+ for i in range(N_samples):
|
|
|
|
+ # delaying of RF event for time period of local delay
|
|
|
|
+ if RF_assintant[0] - RF_raster < time_sample[i] < RF_assintant[0] + RF_raster:
|
|
|
|
+ RF_stop = int(RF_assintant[1] / time_step)
|
|
|
|
+ gate_rf[i:RF_stop] = 1.0
|
|
|
|
+ var = 1
|
|
|
|
+
|
|
|
|
+ # mandatory disabling of RF gate due to ADC work same time
|
|
|
|
+ gate_rf_2 = map(lambda x: time_sample[i] - ADC_raster < x < time_sample[i] + ADC_raster and 1 or 0,
|
|
|
|
+ seq_output_dict['t_adc'])
|
|
|
|
+ if np.any(np.array(list(gate_rf_2)) > 0):
|
|
|
|
+ gate_rf[i] = 0.0
|
|
|
|
+
|
|
|
|
+ # TR switch with own delay before ADC turning
|
|
|
|
+ gate_tr_1 = map(lambda x: time_sample[i] - ADC_raster < x < time_sample[i] + ADC_raster and 1 or 0,
|
|
|
|
+ seq_output_dict['t_adc'])
|
|
|
|
+ if np.any(np.array(list(gate_tr_1)) > 0):
|
|
|
|
+ block_delay_tr = int(local_delay_tr / time_step)
|
|
|
|
+ gate_tr_switch[i - block_delay_tr:i + 1] = 0.0
|
|
|
|
+
|
|
|
|
+ # first step of ADC gate - enabling
|
|
|
|
+ gate_adc_1 = map(lambda x: time_sample[i] - ADC_raster < x < time_sample[i] + ADC_raster and 1 or 0,
|
|
|
|
+ seq_output_dict['t_adc'])
|
|
|
|
+ if np.any(np.array(list(gate_adc_1)) > 0):
|
|
|
|
+ gate_adc[i] = 1.0
|
|
|
|
+
|
|
|
|
+ # adc correction sue to rise and fall time of gradient
|
|
|
|
+ # defining time that ADC need to be disabled during of
|
|
|
|
+ rise_time_loc, fall_time_loc = adc_correction()
|
|
|
|
+ num_beg, num_fin = adc_event_edges(gate_adc)
|
|
|
|
+ rise_time_tick = int(rise_time_loc / time_step)
|
|
|
|
+ fall_time_tick = int(rise_time_loc / time_step)
|
|
|
|
+ gate_adc[num_beg:num_beg + rise_time_tick] = 0.0
|
|
|
|
+ gate_adc[num_fin - fall_time_tick:num_fin + 1] = 0.0
|
|
|
|
+
|
|
|
|
+ gates_release = {"adc": gate_adc,
|
|
|
|
+ "rf": gate_rf,
|
|
|
|
+ "tr_switch": gate_tr_switch,
|
|
|
|
+ "gx": gate_gx,
|
|
|
|
+ "gy": gate_gy,
|
|
|
|
+ "gz": gate_gz}
|
|
|
|
+
|
|
|
|
|
|
# gates_output(gates_release)
|
|
# gates_output(gates_release)
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+if __name__ == '__main__':
|
|
|
|
+ print('')
|
|
|
|
+ seq_file = "seq_store/SE_rfdeath_5000.seq"
|
|
|
|
+ seq_input = puls_fix.Sequence()
|
|
|
|
+ seq_input.read(file_path=seq_file)
|
|
|
|
+ seq_output_dict = seq_input.waveforms_export(time_range=(0, 3))
|
|
|
|
+
|
|
|
|
+ # artificial delays due to construction of the MRI
|
|
|
|
+ RF_dtime = 100 * 1e-6
|
|
|
|
+ TR_dtime = 100 * 1e-6
|
|
|
|
+
|
|
|
|
+ time_info = seq_input.duration()
|
|
|
|
+ blocks_number = time_info[1]
|
|
|
|
+ time_dur = time_info[0]
|
|
|
|
+ time_step = 20 * 1e-9
|
|
|
|
+ N_samples = int(time_dur / time_step)
|
|
|
|
+ time_sample = np.linspace(0, time_dur, N_samples)
|
|
|
|
+
|
|
|
|
+ # output interpretation. all formats of files defined in method
|
|
|
|
+ output_seq(seq_output_dict)
|
|
|
|
+
|
|
|
|
+ # defining constants of the sequence
|
|
|
|
+ local_definitions = seq_input.definitions
|
|
|
|
+ ADC_raster = local_definitions['AdcRasterTime']
|
|
|
|
+ RF_raster = local_definitions['RadiofrequencyRasterTime']
|
|
|
|
+
|
|
|
|
+ gate_adc = np.zeros(N_samples)
|
|
|
|
+ gate_rf = np.zeros(N_samples)
|
|
|
|
+ gate_tr_switch = np.ones(N_samples)
|
|
|
|
+ gate_gx = np.zeros(N_samples)
|
|
|
|
+ gate_gy = np.zeros(N_samples)
|
|
|
|
+ gate_gz = np.zeros(N_samples)
|
|
|
|
+
|
|
|
|
+ local_delay_rf = RF_dtime
|
|
|
|
+ local_delay_tr = TR_dtime
|
|
|
|
+ local_raster_time = time_step
|
|
|
|
+
|
|
|
|
+ RF_assintant = [seq_output_dict['t_rf'][0] - RF_dtime, seq_output_dict['t_rf'][-1]]
|
|
|
|
+
|
|
|
|
+ synchronization(N_samples)
|
|
|
|
+
|
|
|
|
+ # testing plots for synchronization
|
|
|
|
+ plt.plot(seq_output_dict['t_gx'][:int(N_samples)], seq_output_dict['gx'][:int(N_samples)])
|
|
|
|
+ plt.plot(seq_output_dict['t_gy'][:int(N_samples)], seq_output_dict['gy'][:int(N_samples)])
|
|
|
|
+ plt.plot(seq_output_dict['t_gz'][:int(N_samples)], seq_output_dict['gz'][:int(N_samples)])
|
|
|
|
+ plt.savefig("plots_output/gradients.png")
|
|
|
|
+ plt.show()
|
|
|
|
+
|
|
|
|
+ plt.plot(seq_output_dict['t_gx'][:int(N_samples)], seq_output_dict['gx'][:int(N_samples)] / 720)
|
|
|
|
+ plt.plot(time_sample[:int(N_samples)], gate_adc[:int(N_samples)], label='ADC gate')
|
|
|
|
+ plt.plot(time_sample[:int(N_samples)], gate_tr_switch[:int(N_samples)], label='TR switch')
|
|
|
|
+ plt.plot(seq_output_dict['t_rf'], seq_output_dict['rf'] / 210, label='RF signal')
|
|
|
|
+ plt.plot(time_sample[:int(N_samples)], gate_rf[:int(N_samples)], label='RF gate')
|
|
|
|
+ plt.legend()
|
|
|
|
+ plt.savefig("plots_output/synchro_pulse.png")
|
|
|
|
+ plt.show()
|