Automated fibrosis segmentation from wideband post-contrast $$ {T}_1^{\ast } $$ mapping in an animal model of ischemic heart disease with implantable cardioverter-defibrillators.

ABSTRACT:

Purpose

Post-contrast T1∗$$ {T}_1^{\ast } $$ mapping has proven promising for automated scar segmentation in subjects without ICDs, but this has not been implemented in patients with ICDs. We introduce an automated cluster-based thresholding method for T1∗$$ {T}_1^{\ast } $$ maps with an ICD present and compare it to manually tuned thresholding of synthetic LGE images with an ICD present and standard LGE without an ICD present.

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 wa

SUBMITTER: Sheagren CD 

PROVIDER: S-EPMC11971503 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature