Correlation-based discrimination between cardiac tissue and blood for segmentation of 3D echocardiographic images

A.E.C.M. Sari, M.M. Nillesen, R.G.P. Lopata, C.L. de Korte

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Automated segmentation of 3D echocardiographic images in patients with congenital heart disease is challenging, because the boundary between blood and cardiac tissue is poorly defined in some regions. Cardiologists mentally incorporate movement of the heart, using temporal coherence of structures to resolve ambiguities. Therefore, we investigated the merit of temporal cross-correlation for automated segmentation over the entire cardiac cycle. Optimal settings for maximum cross-correlation (MCC) calculation, based on a 3D cross-correlation based displacement estimation algorithm, were determined to obtain the best contrast between blood and myocardial tissue over the entire cardiac cycle. Resulting envelope-based as well as RF-based MCC values were used as additional external force in a deformable model approach, to segment the left-ventricular cavity in entire systolic phase. MCC values were tested against, and combined with, adaptive filtered, demodulated RF-data. Segmentation results were compared with manually segmented volumes using a 3D Dice Similarity Index (3DSI). Results in 3D pediatric echocardiographic images sequences (n = 4) demonstrate that incorporation of temporal information improves segmentation. The use of MCC values, either alone or in combination with adaptive filtered, demodulated RF-data, resulted in an increase of the 3DSI in 75% of the cases (average 3DSI increase: 0.71 to 0.82). Results might be further improved by optimizing MCC-contrast locally, in regions with low blood-tissue contrast. Reducing underestimation of the endocardial volume due to MCC processing scheme (choice of window size) and consequential border-misalignment, could also lead to more accurate segmentations. Furthermore, increasing the frame rate will also increase MCC-contrast and thus improve segmentation.

Original languageEnglish
Title of host publicationProgress in Biomedical Optics and Imaging
PublisherSPIE
Number of pages8
ISBN (Print)9780819494498
DOIs
Publication statusPublished - 2013
Event2013 Medical Imaging - Disney Coronado Springs Resort, Lake Buena Vista, United States
Duration: 9 Feb 201314 Feb 2013

Publication series

NameProceedings of SPIE
Volume8675

Conference

Conference2013 Medical Imaging
CountryUnited States
CityLake Buena Vista
Period9/02/1314/02/13
Other

Keywords

  • 3D echocardiography
  • Deformable model
  • Image segmentation
  • Left ventricle
  • Temporal cross-correlation
  • Ultrasound

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