def runTradoffAnalysis(): datatag = 'motion phantom 16x 3.4 MHz 20dB30dB' #filename = 'motion_phantom_16x' #datatag.append('Vingmed data liver 2STB 1') #datatag.append('Vingmed data liver 2STB 2') #datatag.append('Vingmed data cardiac 2STB 1') #datatag.append('Vingmed data cardiac 4MLA 1') multiFile = True capon = CaponProcessor(datatag, multiFile) # set parameters for capon processor capon.image_idx.updateValue(0) capon.sliceRangeStart.updateValue(120) #(100) capon.sliceAngleStart.updateValue(195) #(350)#200 capon.sliceRangeEnd.updateValue(145) #(120)#0 capon.sliceAngleEnd.updateValue(780) #(600) capon.Ky.updateValue(4) # incoherent interpolation in range capon.Kx.updateValue(4) # in azimuth capon.Nb.updateValue(0) #capon.L.updateValue() capon.K.updateValue(2) capon.minDynRange.updateValue(-20) capon.maxDynRange.updateValue(35) capon.minDynRangeCapon.updateValue(-20) capon.maxDynRangeCapon.updateValue(35) #capon.apod.updateValue(0) #'Apodization: 0=uniform, 1=hamming' # position profile #capon.profilePos = [0.0, 93.0, 0.0] #Nb_L_range = range(32, 2, -1) Nb_L_range = range(31, 0, -2) fps = 25.0 p_depth = 90.0 #93.0 #mm #p_depth += 0.2148 # add 1/4 of the pulse length p_depth += 0.1388 #compensate for extra travel distance in elevation frames = range(7, 30) res_limit = 6.0 fig = pl.figure() ax = fig.add_subplot(1, 1, 1) for b in [True, False]: resolution = [] if not b: capon.L.resetValue() capon.d.updateValue(-1) #1) else: capon.d.updateValue(-1) #1) for v in Nb_L_range: print 'Value is: ', v, ' b is:', b if b: capon.L.updateValue(v) else: capon.Nb.updateValue(v) #capon.d.updateValue((1.0/30.0)*v - 61.0/30.0) # make d go from 0.1 at Nb=31 to 0.01 at Nb=1 resolution.append( findResolution(capon, frames, res_limit, p_depth, fps, highres=True)) if b: ax.plot(Nb_L_range, resolution, c=(0.0, 0.0, 0.0), ls='-', marker='o', lw=2.0, label='Reducing subarrays') else: ax.plot(Nb_L_range, resolution, c=(0.2, 0.2, 0.2), ls='-', marker='s', lw=2.0, label='Reducing beamspace') das_res = findResolution(capon, frames, res_limit, p_depth, fps, highres=False) ax.plot(Nb_L_range, das_res * np.ones(len(Nb_L_range)), c=(0.4, 0.4, 0.4), ls='--', lw=2.0, label='Delay-and-sum') #ax.set_ylim(ax.get_ylim()[0]-0.1, ax.get_ylim()[1]+0.1) ax.set_ylim(ax.get_ylim()[0], ax.get_ylim()[1] + 0.1) ax.set_xlim([Nb_L_range[0], Nb_L_range[-1]]) ax.set_title('Trading resolution for speed', fontsize='x-large') ax.set_xlabel('$L$ or $N_b$', fontsize='large') ax.set_ylabel('Resolution [mm]', fontsize='large') ax.legend(loc=2, markerscale=0.5) fig.savefig('speed_res_trade.png', dpi=300, bbox_inches='tight', pad_inches=0.5)
def plot_slices_invivo(legendOn=True): datatag = 'Vingmed data cardiac 2STB 1' #datatag = 'motion phantom 16x' #datatag.append('Vingmed data liver 2STB 1') #datatag.append('Vingmed data liver 2STB 2') #datatag.append('Vingmed data cardiac 2STB 1') #datatag.append('Vingmed data cardiac 4MLA 1') multiFile = True capon = CaponProcessor(datatag, multiFile) capon.sliceRangeStart.mvToMin() capon.sliceAngleStart.mvToMin() capon.sliceRangeEnd.mvToMax() capon.sliceAngleEnd.mvToMax() # set parameters for capon processor capon.image_idx.updateValue(0) capon.Ky.updateValue(2) # incoherent interpolation in range capon.Kx.updateValue(1) # in azimuth #capon.L.updateValue() capon.K.updateValue(2) capon.minDynRange.updateValue(-20) capon.maxDynRange.updateValue(20) capon.minDynRangeCapon.updateValue(-20) capon.maxDynRangeCapon.updateValue(20) capon.show_legends.updateValue(1) capon.apod.updateValue(0) #'Apodization: 0=uniform, 1=hamming' # position profile capon.profilePos = [-13.83174473246271, 96.50653026882506, 0.0] ax = [] for i in range(4): figure = pl.figure() ax.append(figure.add_subplot(1, 1, 1)) Nbs = [0, 3] for Nb in Nbs: capon.Nb.updateValue(Nb) if capon.Nb.value > 0: capon.d.updateValue(d_BS) else: capon.d.updateValue(d_ES) capon.processData() capon.plot(ax[0], ax[1], ax[2], ax[3]) if Nb == 0: x = capon.x_aslice das_profile = capon.img_das_aslice capon_profile = capon.img_cap_aslice else: capon_bs_profile = capon.img_cap_aslice fig = pl.figure() ax = fig.add_subplot(1, 1, 1) ax.plot(x, das_profile, c=(0.25, 0.25, 1.00), ls=':', lw=2.0, label='DAS') ax.plot(x, capon_profile, c=(1.00, 0.25, 0.25), ls='-.', lw=2.0, label='ES-Capon') ax.plot(x, capon_bs_profile, c=(0.0, 0.0, 0.0), ls='-', lw=2.0, label='BS-Capon') ax.set_ylim([capon.minDynRange.value, capon.maxDynRange.value]) ax.set_title('Lateral intensity at %d mm range' % capon.profilePos[1], fontsize='large') ax.set_xlabel('Width [mm]', fontsize='large') ax.set_ylabel('Lateral intensity [dB]', fontsize='large') if legendOn: ax.legend(loc=1, markerscale=0.5) #fig.savefig('invivo_slice', bbox_inches='tight', pad_inches=0.5) fig.savefig('invivo_slice.png', dpi=300, bbox_inches='tight', pad_inches=0.5)
def process_and_plot_invivo_image(Nb=0): datatag = 'Vingmed data cardiac 2STB 1' multiFile = True capon = CaponProcessor(datatag, multiFile) # set parameters for capon processor #capon.image_idx.updateValue(15) capon.sliceRangeStart.mvToMin() capon.sliceAngleStart.mvToMin() capon.sliceRangeEnd.mvToMax() capon.sliceAngleEnd.mvToMax() capon.Ky.updateValue(2) # incoherent interpolation in range capon.Kx.updateValue(1) # in azimuth capon.Nb.updateValue(Nb) if capon.Nb.value > 0: capon.d.updateValue(d_BS) else: capon.d.updateValue(d_ES) #capon.L.updateValue() capon.K.updateValue(2) capon.minDynRange.updateValue(-20) capon.maxDynRange.updateValue(20) capon.minDynRangeCapon.updateValue(-20) capon.maxDynRangeCapon.updateValue(20) capon.show_legends.updateValue(1) capon.apod.updateValue(0) #'Apodization: 0=uniform, 1=hamming' # position profile capon.profilePos = [-13.83174473246271, 96.50653026882506, 0.0] capon.processData() fig = [] ax = [] filename = [] if Nb == 0: filename = ['das_invivo', 'capon_invivo', 'ax1_invivo', 'ax2_invivo'] else: filename = ['das_invivo', 'capon_bs_invivo', 'ax1_bs_invivo', 'ax2_bs_invivo'] for i in range(4): figure = pl.figure() ax.append(figure.add_subplot(1,1,1)) fig.append(figure) axc = capon.plot(ax[0],ax[1],ax[2], ax[3]) #for i in range(2): #ax[i].invert_yaxis() #fig[i].tight_layout() from datetime import datetime d = datetime.time(datetime.now()) for i in range(4): if i is 1 and Nb is not 0: colorBarFig = pl.figure() cbar = colorBarFig.colorbar(axc, ticks=[capon.minDynRange.value, 0, capon.maxDynRange.value], orientation='vertical')#, shrink=0.5) cbar.ax.set_yticklabels([r'$\leq$%d dB'%capon.minDynRange.value, '0 dB', r'$\geq$%d dB'%capon.maxDynRange.value]) colorBarFig.savefig('colorBarInvivo.png', dpi=300, bbox_inches='tight', pad_inches=0.5) if i < 2: ax[i].set_aspect('equal')#, 'datalim') #fig[i].savefig('%s_axes%d_%d%d%d%d'%(filename, i, d.hour, d.minute, d.second, d.microsecond), bbox_inches='tight', pad_inches=0.5) fig[i].savefig('%s.png'%(filename[i]), dpi=300, bbox_inches='tight', pad_inches=0.5)
def process_and_plot_invivo_image(Nb=0): datatag = 'Vingmed data cardiac 2STB 1' multiFile = True capon = CaponProcessor(datatag, multiFile) # set parameters for capon processor #capon.image_idx.updateValue(15) capon.sliceRangeStart.mvToMin() capon.sliceAngleStart.mvToMin() capon.sliceRangeEnd.mvToMax() capon.sliceAngleEnd.mvToMax() capon.Ky.updateValue(2) # incoherent interpolation in range capon.Kx.updateValue(1) # in azimuth capon.Nb.updateValue(Nb) if capon.Nb.value > 0: capon.d.updateValue(d_BS) else: capon.d.updateValue(d_ES) #capon.L.updateValue() capon.K.updateValue(2) capon.minDynRange.updateValue(-20) capon.maxDynRange.updateValue(20) capon.minDynRangeCapon.updateValue(-20) capon.maxDynRangeCapon.updateValue(20) capon.show_legends.updateValue(1) capon.apod.updateValue(0) #'Apodization: 0=uniform, 1=hamming' # position profile capon.profilePos = [-13.83174473246271, 96.50653026882506, 0.0] capon.processData() fig = [] ax = [] filename = [] if Nb == 0: filename = ['das_invivo', 'capon_invivo', 'ax1_invivo', 'ax2_invivo'] else: filename = [ 'das_invivo', 'capon_bs_invivo', 'ax1_bs_invivo', 'ax2_bs_invivo' ] for i in range(4): figure = pl.figure() ax.append(figure.add_subplot(1, 1, 1)) fig.append(figure) axc = capon.plot(ax[0], ax[1], ax[2], ax[3]) #for i in range(2): #ax[i].invert_yaxis() #fig[i].tight_layout() from datetime import datetime d = datetime.time(datetime.now()) for i in range(4): if i is 1 and Nb is not 0: colorBarFig = pl.figure() cbar = colorBarFig.colorbar( axc, ticks=[capon.minDynRange.value, 0, capon.maxDynRange.value], orientation='vertical') #, shrink=0.5) cbar.ax.set_yticklabels([ r'$\leq$%d dB' % capon.minDynRange.value, '0 dB', r'$\geq$%d dB' % capon.maxDynRange.value ]) colorBarFig.savefig('colorBarInvivo.png', dpi=300, bbox_inches='tight', pad_inches=0.5) if i < 2: ax[i].set_aspect('equal') #, 'datalim') #fig[i].savefig('%s_axes%d_%d%d%d%d'%(filename, i, d.hour, d.minute, d.second, d.microsecond), bbox_inches='tight', pad_inches=0.5) fig[i].savefig('%s.png' % (filename[i]), dpi=300, bbox_inches='tight', pad_inches=0.5)
def plot_slices_invivo(legendOn=True): datatag = 'Vingmed data cardiac 2STB 1' #datatag = 'motion phantom 16x' #datatag.append('Vingmed data liver 2STB 1') #datatag.append('Vingmed data liver 2STB 2') #datatag.append('Vingmed data cardiac 2STB 1') #datatag.append('Vingmed data cardiac 4MLA 1') multiFile = True capon = CaponProcessor(datatag, multiFile) capon.sliceRangeStart.mvToMin() capon.sliceAngleStart.mvToMin() capon.sliceRangeEnd.mvToMax() capon.sliceAngleEnd.mvToMax() # set parameters for capon processor capon.image_idx.updateValue(0) capon.Ky.updateValue(2) # incoherent interpolation in range capon.Kx.updateValue(1) # in azimuth #capon.L.updateValue() capon.K.updateValue(2) capon.minDynRange.updateValue(-20) capon.maxDynRange.updateValue(20) capon.minDynRangeCapon.updateValue(-20) capon.maxDynRangeCapon.updateValue(20) capon.show_legends.updateValue(1) capon.apod.updateValue(0) #'Apodization: 0=uniform, 1=hamming' # position profile capon.profilePos = [-13.83174473246271, 96.50653026882506, 0.0] ax = [] for i in range(4): figure = pl.figure() ax.append(figure.add_subplot(1,1,1)) Nbs = [0, 3] for Nb in Nbs: capon.Nb.updateValue(Nb) if capon.Nb.value > 0: capon.d.updateValue(d_BS) else: capon.d.updateValue(d_ES) capon.processData() capon.plot(ax[0],ax[1],ax[2], ax[3]) if Nb == 0: x = capon.x_aslice das_profile = capon.img_das_aslice capon_profile = capon.img_cap_aslice else: capon_bs_profile = capon.img_cap_aslice fig = pl.figure() ax = fig.add_subplot(1,1,1) ax.plot(x, das_profile, c=(0.25,0.25,1.00), ls=':', lw=2.0, label='DAS') ax.plot(x, capon_profile, c=(1.00,0.25,0.25), ls='-.', lw=2.0, label='ES-Capon') ax.plot(x, capon_bs_profile, c=(0.0,0.0,0.0), ls='-', lw=2.0, label='BS-Capon') ax.set_ylim([capon.minDynRange.value, capon.maxDynRange.value]) ax.set_title('Lateral intensity at %d mm range'%capon.profilePos[1], fontsize='large') ax.set_xlabel('Width [mm]', fontsize='large') ax.set_ylabel('Lateral intensity [dB]', fontsize='large') if legendOn: ax.legend(loc=1, markerscale=0.5) #fig.savefig('invivo_slice', bbox_inches='tight', pad_inches=0.5) fig.savefig('invivo_slice.png', dpi=300, bbox_inches='tight', pad_inches=0.5)