def load_shim(self):
print("\tLoad grad offsets")
self.shim_x.setText(str(parameters.get_grad_offset_x()))
self.shim_y.setText(str(parameters.get_grad_offset_y()))
self.shim_z.setText(str(parameters.get_grad_offset_z()))
offsetX = int(self.shim_x.text())
if offsetX > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | offsetX))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 4 << 24 | 1 << 20 | -offsetX))
offsetY = int(self.shim_y.text())
if offsetY > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | offsetY))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 4 << 24 | 1 << 20 | -offsetY))
offsetZ = int(self.shim_z.text())
if offsetZ > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | offsetZ))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 4 << 24 | 1 << 20 | -offsetZ))
if self.idle:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | 0 << 20))
else:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | 1 << 20))
print("Acquiring data")
def load_shim(self):
print("\tLoad grad offsets.")
self.gradOffset_x.valueChanged.disconnect()
self.gradOffset_y.valueChanged.disconnect()
self.gradOffset_z.valueChanged.disconnect()
self.gradOffset_z2.valueChanged.disconnect()
self.gradOffset_x.setValue(parameters.get_grad_offset_x())
self.gradOffset_y.setValue(parameters.get_grad_offset_y())
self.gradOffset_z.setValue(parameters.get_grad_offset_z())
self.gradOffset_z2.setValue(parameters.get_grad_offset_z2())
self.gradOffset_x.valueChanged.connect(
lambda: self.set_grad_offset(self.gradOffset_x))
self.gradOffset_y.valueChanged.connect(
lambda: self.set_grad_offset(self.gradOffset_y))
self.gradOffset_z.valueChanged.connect(
lambda: self.set_grad_offset(self.gradOffset_z))
self.gradOffset_z2.valueChanged.connect(
lambda: self.set_grad_offset(self.gradOffset_z2))
offsetX = self.gradOffset_x.value()
if offsetX > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 5 << 24 | offsetX))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 5 << 24 | 1 << 20 | -offsetX))
offsetY = self.gradOffset_y.value()
if offsetY > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 5 << 24 | offsetY))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 5 << 24 | 1 << 20 | -offsetY))
offsetZ = self.gradOffset_z.value()
if offsetZ > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 5 << 24 | offsetZ))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 5 << 24 | 1 << 20 | -offsetZ))
offsetZ2 = self.gradOffset_z2.value()
if offsetZ2 > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 5 << 24 | offsetZ2))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 5 << 24 | 1 << 20 | -offsetZ2))
if self.idle:
gsocket.write(struct.pack('<I', 2 << 28 | 5 << 24 | 0 << 20))
else:
gsocket.write(struct.pack('<I', 2 << 28 | 5 << 24 | 1 << 20))
print("Acquiring data.")
def load_shim(self):
print("CMD: Loading shim")
self.gradOffset_x.valueChanged.disconnect()
self.gradOffset_y.valueChanged.disconnect()
self.gradOffset_z.valueChanged.disconnect()
self.gradOffset_x.setValue(parameters.get_grad_offset_x())
self.gradOffset_y.setValue(parameters.get_grad_offset_y())
self.gradOffset_z.setValue(parameters.get_grad_offset_z())
self.horizontalSlider_x.setValue(parameters.get_grad_offset_x())
self.horizontalSlider_y.setValue(parameters.get_grad_offset_y())
self.horizontalSlider_z.setValue(parameters.get_grad_offset_z())
self.gradOffset_x.valueChanged.connect(
lambda: self.set_grad_offset(self.gradOffset_x))
self.gradOffset_y.valueChanged.connect(
lambda: self.set_grad_offset(self.gradOffset_y))
self.gradOffset_z.valueChanged.connect(
lambda: self.set_grad_offset(self.gradOffset_z))
offsetX = self.gradOffset_x.value()
self.horizontalSlider_x.setValue(offsetX)
if offsetX > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | offsetX))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 4 << 24 | 1 << 20 | -offsetX))
offsetY = self.gradOffset_y.value()
self.horizontalSlider_y.setValue(offsetY)
if offsetY > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | offsetY))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 4 << 24 | 1 << 20 | -offsetY))
offsetZ = self.gradOffset_z.value()
self.horizontalSlider_z.setValue(offsetZ)
if offsetZ > 0:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | offsetZ))
else:
gsocket.write(
struct.pack('<I', 2 << 28 | 4 << 24 | 1 << 20 | -offsetZ))
if self.idle:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | 0 << 20))
else:
gsocket.write(struct.pack('<I', 2 << 28 | 4 << 24 | 1 << 20))
print("\tAcquiring data")
def __init__(self):
super(MRI_2DImag_Widget, self).__init__()
self.setupUi(self)
self.idle = True # state variable: True-stop, False-start
# setup basic GUI
self.startButton.clicked.connect(self.start)
self.stopButton.clicked.connect(self.stop)
self.freqValue.valueChanged.connect(self.set_freq)
self.acquireButton.clicked.connect(self.acquire)
self.progressBar.setValue(0)
# setup gradient offsets related GUI
self.loadShimButton.clicked.connect(self.load_shim)
self.zeroShimButton.clicked.connect(self.zero_shim)
self.shim_x.setText(str(parameters.get_grad_offset_x()))
self.shim_y.setText(str(parameters.get_grad_offset_y()))
self.shim_z.setText(str(parameters.get_grad_offset_z()))
self.shim_x.setReadOnly(True)
self.shim_y.setReadOnly(True)
self.shim_z.setReadOnly(True)
# setup sequence type
self.seqType.addItems([
'Spin Echo', 'Gradient Echo', 'SE (slice)', 'GRE (slice)',
'Turbo Spin Echo', 'EPI', 'EPI (grad_y off)', 'Spiral'
])
self.seqType.currentIndexChanged.connect(
self.seq_type_customized_display)
self.etlComboBox.addItems(['2', '4', '8', '16', '32'])
self.etlLabel.setVisible(False)
self.etlComboBox.setVisible(False)
self.uploadSeqButton.clicked.connect(self.upload_seq)
# setup imaging parameters
self.npe.addItems(['4', '8', '16', '32', '64', '128', '256'])
self.npe.currentIndexChanged.connect(self.set_readout_size)
self.size1.setText(self.npe.currentText())
self.size1.setReadOnly(True)
# disable GUI elements at first
self.startButton.setEnabled(True)
self.stopButton.setEnabled(False)
self.uploadSeqButton.setEnabled(False)
self.acquireButton.setEnabled(False)
self.loadShimButton.setEnabled(False)
self.zeroShimButton.setEnabled(False)
# setup buffer and offset for incoming data
self.size = 50000 # total data received (defined by the server code)
self.buffer = bytearray(8 * self.size)
self.offset = 0
self.data = np.frombuffer(self.buffer, np.complex64)
# setup display
# display 1: real time signal
self.figure = Figure()
self.figure.set_facecolor('none')
# top and bottom axes: 2 rows, 1 column
self.axes_top = self.figure.add_subplot(2, 1, 1)
self.axes_bottom = self.figure.add_subplot(2, 1, 2)
self.canvas = FigureCanvas(self.figure)
self.plotLayout.addWidget(self.canvas)
# create navigation toolbar
self.toolbar = NavigationToolbar(self.canvas, self.plotWidget, False)
self.plotLayout.addWidget(self.toolbar)
# display 2: k-space and image
self.figure2 = Figure()
self.figure2.set_facecolor('whitesmoke')
self.axes_k_amp = self.figure2.add_subplot(3, 1, 1)
self.axes_k_pha = self.figure2.add_subplot(3, 1, 2)
self.axes_image = self.figure2.add_subplot(3, 1, 3)
self.canvas2 = FigureCanvas(self.figure2)
self.imageLayout.addWidget(self.canvas2)
# create navigation toolbar
self.toolbar2 = NavigationToolbar(self.canvas2, self.imageWidget,
False)
self.imageLayout.addWidget(self.toolbar2)
# Acquire image
self.full_data = np.matrix(np.zeros(np.size(self.data)))
self.fname = "acq_data"
self.buffers_received = 0
self.images_received = 0
self.num_pe = 0
self.num_TR = 0 # num_TR = num_pe/etl (echo train length)
self.etl = 2
self.etl_idx = 0
self.npe_idx = 0
self.seqType_idx = 0
self.img = []
self.kspace_full = [] # full data
self.kspace = [] # for recon
self.k_amp = [] # for display
self.k_pha = [] # for display
self.tse_kspace = []
self.tse_k_amp = []
self.tse_k_pha = []
self.kspace_center = 475 # k center time = 1.9*250: echo time is at 1.9ms after acq start
self.crop_factor = 640 # 64 matrix size ~ 640 readout length (need FURTHER CALIBRATION)
def __init__(self):
super(MRI_Proj_Widget, self).__init__()
self.setupUi(self)
self.idle = True # state variable: True-stop, False-start
self.if_all_projections = 0 # 0 - one projection, 1 - all three projections
self.acq_num = 0 # for recording the 3 projections
self.startButton.clicked.connect(self.start)
self.stopButton.clicked.connect(self.stop)
self.freqValue.valueChanged.connect(self.set_freq)
# self.freqCheckBox = QCheckBox('Zoom')
# self.checkBoxLayout.addWidget(self.freqCheckBox)
self.projAxisValue.addItems(['x', 'y', 'z'])
self.projAxisValue.currentIndexChanged.connect(self.set_proj_axis)
self.acquireButton.clicked.connect(self.acquire)
self.acquireAllButton.clicked.connect(self.acquire_all)
# Gradient offsets related
self.loadShimButton.clicked.connect(self.load_shim)
self.zeroShimButton.clicked.connect(self.zero_shim)
self.shim_x.setText(str(parameters.get_grad_offset_x()))
self.shim_y.setText(str(parameters.get_grad_offset_y()))
self.shim_z.setText(str(parameters.get_grad_offset_z()))
self.shim_x.setReadOnly(True)
self.shim_y.setReadOnly(True)
self.shim_z.setReadOnly(True)
# Disable if not start yet
self.startButton.setEnabled(True)
self.stopButton.setEnabled(False)
self.projAxisValue.setEnabled(False)
self.acquireButton.setEnabled(False)
self.acquireAllButton.setEnabled(False)
self.loadShimButton.setEnabled(False)
self.zeroShimButton.setEnabled(False)
# Setup buffer and offset for incoming data
self.size = 50000 # total data received (defined by the server code)
self.buffer = bytearray(8 * self.size)
self.offset = 0
self.data = np.frombuffer(self.buffer, np.complex64)
self.data_x = np.frombuffer(self.buffer, np.complex64)
self.data_y = np.frombuffer(self.buffer, np.complex64)
self.data_z = np.frombuffer(self.buffer, np.complex64)
# print(self.data.size)
# Setup plot
self.figure = Figure()
self.figure.set_facecolor('none')
# top and bottom axes: 2 rows, 1 column
self.axes_top = self.figure.add_subplot(2, 1, 1)
self.axes_bottom = self.figure.add_subplot(2, 1, 2)
self.canvas = FigureCanvas(self.figure)
self.plotLayout.addWidget(self.canvas)
# create navigation toolbar
self.toolbar = NavigationToolbar(self.canvas, self.plotWidget, False)
# remove subplots action (might be useful in the future)
# actions = self.toolbar.actions()
# self.toolbar.removeAction(actions[7])
self.plotLayout.addWidget(self.toolbar)
# Setup plot for all three projections
self.all_proj_figure = Figure()
self.all_proj_figure.set_facecolor('none')
# top and bottom axes: 3 rows, 1 column
self.plot_x = self.all_proj_figure.add_subplot(3, 1, 1)
self.plot_y = self.all_proj_figure.add_subplot(3, 1, 2)
self.plot_z = self.all_proj_figure.add_subplot(3, 1, 3)
# self.all_proj_figure.tight_layout()
self.all_proj_figure.subplots_adjust(hspace=0.300)
self.all_proj_canvas = FigureCanvas(self.all_proj_figure)
self.allProjLayout.addWidget(self.all_proj_canvas)
self.all_proj_toolbar = NavigationToolbar(self.all_proj_canvas,
self.allProjWidget, False)
self.allProjLayout.addWidget(self.all_proj_toolbar)
def __init__(self):
super(MRI_3DImag_Widget, self).__init__()
self.setupUi(self)
self.idle = True # state variable: True-stop, False-start
self.startButton.clicked.connect(self.start)
self.stopButton.clicked.connect(self.stop)
self.freqValue.valueChanged.connect(self.set_freq)
self.acquireButton.clicked.connect(self.acquire)
# Gradient offsets related
self.loadShimButton.clicked.connect(self.load_shim)
self.zeroShimButton.clicked.connect(self.zero_shim)
self.shim_x.setText(str(parameters.get_grad_offset_x()))
self.shim_y.setText(str(parameters.get_grad_offset_y()))
self.shim_z.setText(str(parameters.get_grad_offset_z()))
self.shim_x.setReadOnly(True)
self.shim_y.setReadOnly(True)
self.shim_z.setReadOnly(True)
# Sequence Type
self.seqType.addItems(['Spin Echo', 'Gradient Echo'])
# self.seqType.addItems(['Spin Echo', 'Gradient Echo', 'Turbo Spin Echo'])
# Imaging parameters
self.npe.addItems(['4', '8', '16', '32', '64', '128', '256'])
self.npe.currentIndexChanged.connect(self.set_readout_size)
self.npe2.addItems(['4', '8', '16', '32'])
self.size1.setText(self.npe.currentText())
self.size1.setReadOnly(True)
# Disable if not start yet
self.startButton.setEnabled(True)
self.stopButton.setEnabled(False)
self.acquireButton.setEnabled(False)
self.loadShimButton.setEnabled(False)
self.zeroShimButton.setEnabled(False)
# Setup buffer and offset for incoming data
self.size = 50000 # total data received (defined by the server code)
self.buffer = bytearray(8 * self.size)
self.offset = 0
self.data = np.frombuffer(self.buffer, np.complex64)
# print(self.data.size)
# Setup plot
self.figure = Figure()
self.figure.set_facecolor('none')
# top and bottom axes: 2 rows, 1 column
self.axes_top = self.figure.add_subplot(2, 1, 1)
self.axes_bottom = self.figure.add_subplot(2, 1, 2)
self.canvas = FigureCanvas(self.figure)
self.plotLayout.addWidget(self.canvas)
# create navigation toolbar
self.toolbar = NavigationToolbar(self.canvas, self.plotWidget, False)
# remove subplots action (might be useful in the future)
# actions = self.toolbar.actions()
# self.toolbar.removeAction(actions[7])
self.plotLayout.addWidget(self.toolbar)
# Acquire image
self.full_data = np.matrix(np.zeros(np.size(self.data)))
self.fnameprefix = "acq_data_aspa_se_64_16_"
self.fname = ""
self.buffers_received = 0 # for npe phase encoding 1
self.slice_received = 0 # for npe2 phase encoding 2
self.num_pe = 0 # self.num_TR
self.num_pe2 = 0
self.npe_idx = 0
self.npe2_idx = 0
self.seqType_idx = 0
