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Summarize the time series

The ejection fraction is the proportion of blood squeezed out of the left ventricle each heartbeat. To calculate it, radiologists have to identify the maximum volume (systolic volume) and the minimum volume (diastolic volume) of the ventricle.

Slice 4 of Cardiac Timeseries

For this exercise, create a time series of volume calculations. There are 20 time points in both vol_ts and labels. The data is ordered by (time, plane, row, col).

Este exercício faz parte do curso

Biomedical Image Analysis in Python

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Instruções do exercício

  • Initialize an empty array with 20 elements using np.zeros().
  • Calculate the volume of each image voxel. (Consult the meta dictionary for sampling rates.)
  • For each time point, count the pixels in labels, and update the time series array.
  • Plot the time series using plt.plot().

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Create an empty time series
ts = ____

# Calculate volume at each voxel
d0, d1, d2, d3 = ____
dvoxel = ____

# Loop over the labeled arrays
for t in range(20):
    nvoxels = ____
    ts[t] = ____

# Plot the data
____
format_and_render_plot()
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