Automated fibrosis segmentation from wideband post-contrast

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Tác giả: Jennifer Barry, Terenz Escartin, Jaykumar H Patel, Calder D Sheagren, Graham A Wright

Ngôn ngữ: eng

Ký hiệu phân loại: 784.190288 General principles, musical forms, instruments

Thông tin xuất bản: United States : Magnetic resonance in medicine , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 687008

PURPOSE: Post-contrast METHODS: Seven swine received an ischemia-reperfusion myocardial infarction and were imaged at 3 T 4-5 weeks post-infarct with and without an ICD. Mapping-based thresholding was performed using synthetic LGE and artifact-corrected cluster-thresholding methods, both employing connected component filtering. Standard pixel signal intensity thresholding was performed on the conventional LGE without an ICD. Volumetric accuracy is relative to conventional LGE and Dice similarity between SynLGE and cluster-based segmentations were evaluated. RESULTS: No statistical significance was observed between LGE volumes without an ICD and both SynLGE and artifact-corrected cluster-threshold volumes with an ICD, when using connected component filtering. Additionally, Dice alignment between SynLGE and cluster-thresholding was high for healthy myocardium (0.96), dense scar (0.83), and dense scar union gray zone (0.91) when artifact correction and connected component filtering were implemented. CONCLUSION: Clustering of
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