Automated Peak Prominence-Based Iterative Dijkstra's Algorithm for Segmentation of B-Mode Echocardiograms

Autor: Brett Meyers, Pavlos P. Vlachos, Shelby Kutty, Melissa C. Brindise
Rok vydání: 2022
Předmět:
Zdroj: IEEE Transactions on Biomedical Engineering. 69:1595-1607
ISSN: 1558-2531
0018-9294
Popis: We present a user-initialized, automated segmentation method for use with echocardiograms (echo). The method uses an iterative Dijkstra's algorithm, a strategic node selection, and a novel cost matrix formulation based on intensity peak prominence, termed the Prominence Iterative Dijkstras algorithm, or ProID. ProID is initialized with three user-input clicks per time-series scan. ProID was tested using artificial echo images representing five different systems. Results showed accurate LV contours and volume estimations as compared to the ground-truth for all systems. Using the CAMUS dataset, we demonstrate ProID maintained similar Dice similarity scores to other automated methods. ProID was then used to analyze a clinical cohort of 66 pediatric patients, including normal and diseased hearts. Output segmentations, end-diastolic, end-systolic volumes, and ejection fraction were compared against manual segmentations from two expert readers. ProID maintained an average Dice score of 0.93 when comparing against manual segmentation. Comparing the two expert readers, the manual segmentations maintained a score of 0.93 which increased to 0.95 when they used ProID. Thus, ProID reduced the inter-operator variability across the expert readers. Overall, this work demonstrates ProID yields accurate boundaries across age groups, disease states, and echo platforms with low computational cost and no need for training data.
Databáze: OpenAIRE
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