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Franny Dean
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Browse files- .ipynb_checkpoints/app-checkpoint.py +11 -9
- app.py +11 -9
.ipynb_checkpoints/app-checkpoint.py
CHANGED
@@ -427,7 +427,7 @@ def solve_ODE_for_volume(Rm, Ra, Emax, Emin, Vd, Tc, start_v, t):
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return volumes
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def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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# Define initial parameters
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@@ -465,7 +465,7 @@ def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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point = ax.scatter(volumes[start:(start+1)], pressures[start:(start+1)], c="b", s=5)
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-
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#plt.rcParams['fig.suptitle'] = -2.0
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#ax.set_title(f'Mitral valve circuit resistance (Rm): {Rm} mmHg*s/ml \n Aortic valve circuit resistance (Ra): {Ra} mmHg*s/ml', fontsize=6)
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ax.set_xlabel('LV Volume (ml)')
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@@ -480,14 +480,16 @@ def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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x = volumes[start:end]
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y = pressures[start:end]
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ax.plot(x, y, lw=1, c='b')
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return plt, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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def pvloop_simulator_plot_only(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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plot,_,_,_,_,_,_,_ =pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v)
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return plot
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## Demo
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@@ -510,8 +512,8 @@ def generate_example():
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plot, Rm, Ra, Emax, Emin, Vd,Tc, start_v = pvloop_simulator(Rm=round(results[4].item(),2), Ra=round(results[5].item(),2), Emax=results[2].item(), Emin=round(results[3].item(),2), Vd=round(results[6].item(),2), Tc=round(results[0].item(),2), start_v=round(results[1].item(),2))
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video = video.replace("avi", "mp4")
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animated = "prediction.mp4"
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return video,
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title = "Physics-informed self-supervised learning for predicting cardiac digital twins with echocardiography"
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return volumes
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+
def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v, animation):
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# Define initial parameters
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point = ax.scatter(volumes[start:(start+1)], pressures[start:(start+1)], c="b", s=5)
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plt.title('Predicted PI-SSL LV Pressure Volume Loop', fontsize=16)
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#plt.rcParams['fig.suptitle'] = -2.0
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#ax.set_title(f'Mitral valve circuit resistance (Rm): {Rm} mmHg*s/ml \n Aortic valve circuit resistance (Ra): {Ra} mmHg*s/ml', fontsize=6)
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ax.set_xlabel('LV Volume (ml)')
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x = volumes[start:end]
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y = pressures[start:end]
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ax.plot(x, y, lw=1, c='b')
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if(animation):
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anim = animation.FuncAnimation(fig, partial(update), frames=43, interval=1)
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anim.save("prediction.mp4")
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return plt, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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def pvloop_simulator_plot_only(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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plot,_,_,_,_,_,_,_ =pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v, animation=False)
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plt.title('Simulated PI-SSL LV Pressure Volume Loop', fontsize=16)
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return plot
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## Demo
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plot, Rm, Ra, Emax, Emin, Vd,Tc, start_v = pvloop_simulator(Rm=round(results[4].item(),2), Ra=round(results[5].item(),2), Emax=results[2].item(), Emin=round(results[3].item(),2), Vd=round(results[6].item(),2), Tc=round(results[0].item(),2), start_v=round(results[1].item(),2))
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video = video.replace("avi", "mp4")
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# animated = "prediction.mp4"
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return video, plot, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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title = "Physics-informed self-supervised learning for predicting cardiac digital twins with echocardiography"
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app.py
CHANGED
@@ -427,7 +427,7 @@ def solve_ODE_for_volume(Rm, Ra, Emax, Emin, Vd, Tc, start_v, t):
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return volumes
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-
def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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# Define initial parameters
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@@ -465,7 +465,7 @@ def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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point = ax.scatter(volumes[start:(start+1)], pressures[start:(start+1)], c="b", s=5)
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-
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#plt.rcParams['fig.suptitle'] = -2.0
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#ax.set_title(f'Mitral valve circuit resistance (Rm): {Rm} mmHg*s/ml \n Aortic valve circuit resistance (Ra): {Ra} mmHg*s/ml', fontsize=6)
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ax.set_xlabel('LV Volume (ml)')
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@@ -480,14 +480,16 @@ def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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x = volumes[start:end]
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y = pressures[start:end]
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ax.plot(x, y, lw=1, c='b')
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return plt, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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def pvloop_simulator_plot_only(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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plot,_,_,_,_,_,_,_ =pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v)
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return plot
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## Demo
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@@ -510,8 +512,8 @@ def generate_example():
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plot, Rm, Ra, Emax, Emin, Vd,Tc, start_v = pvloop_simulator(Rm=round(results[4].item(),2), Ra=round(results[5].item(),2), Emax=results[2].item(), Emin=round(results[3].item(),2), Vd=round(results[6].item(),2), Tc=round(results[0].item(),2), start_v=round(results[1].item(),2))
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video = video.replace("avi", "mp4")
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animated = "prediction.mp4"
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return video,
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title = "Physics-informed self-supervised learning for predicting cardiac digital twins with echocardiography"
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return volumes
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+
def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v, animation):
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# Define initial parameters
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point = ax.scatter(volumes[start:(start+1)], pressures[start:(start+1)], c="b", s=5)
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plt.title('Predicted PI-SSL LV Pressure Volume Loop', fontsize=16)
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#plt.rcParams['fig.suptitle'] = -2.0
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#ax.set_title(f'Mitral valve circuit resistance (Rm): {Rm} mmHg*s/ml \n Aortic valve circuit resistance (Ra): {Ra} mmHg*s/ml', fontsize=6)
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ax.set_xlabel('LV Volume (ml)')
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x = volumes[start:end]
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y = pressures[start:end]
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ax.plot(x, y, lw=1, c='b')
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if(animation):
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anim = animation.FuncAnimation(fig, partial(update), frames=43, interval=1)
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anim.save("prediction.mp4")
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return plt, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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def pvloop_simulator_plot_only(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
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plot,_,_,_,_,_,_,_ =pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v, animation=False)
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plt.title('Simulated PI-SSL LV Pressure Volume Loop', fontsize=16)
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return plot
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## Demo
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plot, Rm, Ra, Emax, Emin, Vd,Tc, start_v = pvloop_simulator(Rm=round(results[4].item(),2), Ra=round(results[5].item(),2), Emax=results[2].item(), Emin=round(results[3].item(),2), Vd=round(results[6].item(),2), Tc=round(results[0].item(),2), start_v=round(results[1].item(),2))
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video = video.replace("avi", "mp4")
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# animated = "prediction.mp4"
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return video, plot, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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title = "Physics-informed self-supervised learning for predicting cardiac digital twins with echocardiography"
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