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Table 3 Spatial overlap results demonstrating the algorithm’s precision. The algorithm was run five times on two arbitrarily selected data sets

From: Semi-automated left ventricular segmentation based on a guide point model approach for 3D cine DENSE cardiovascular magnetic resonance

 

Dice

Jaccard

False positive

False negative

Iteration

Set 1

Set 2

Set 1

Set 2

Set 1

Set 2

Set 1

Set 2

1

0.9225

0.9083

0.8562

0.8321

0.0162

0.0856

0.1299

0.0586

2

0.9064

0.9187

0.8289

0.8496

0.0608

0.0776

0.1331

0.0628

3

0.9068

0.9160

0.8295

0.8450

0.0481

0.0972

0.1306

0.0729

4

0.9183

0.9261

0.8490

0.8623

0.0719

0.0833

0.0899

0.0658

5

0.9115

0.9370

0.8374

0.8814

0.0656

0.0202

0.1158

0.1008

  1. An arbitrary slice at an early systolic cardiac phase is selected and was manually contoured by a single Operator. The spatial overlap measures were calculated after each experiment. The results for each data set show the consistency of the algorithm.
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Journal of Cardiovascular Magnetic Resonance

ISSN: 1532-429X

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