Innovative network reduces off-resonance artifacts in bSSFP imaging for cardiovascular device patients, enhancing image quality.
Motivation: Patients with cardiovascular implantable electronic devices (CIED) experience significant off-resonance using bSSFP imaging, leading to artifacts that hinder accurate analysis of cardiac function. Goal(s): To enhance bSSFP cine imaging for patients with cardiac implants at 3T by employing a twofold phase cycling and cross-attention transformer network. Approach: We developed a cross-attention transformer network to process two phase-cycled images and produce artifact-suppressed output. This method was evaluated on 9 healthy subjects with an extracorporeal cardioverter-defibrillator (ICD) positioned at the left chest. Results: Our method reduced off-resonance artifacts, thereby enhancing the quality of bSSFP images. Impact: Our method considerably increases the feasibility of bSSFP imaging in CIED patients at high fields.
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Chen et al. (2025) studied this question.
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