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A method was successfully developed to automatically map multimodal information, including MRI scar data and CARTO force measurements, onto a 24-region standardised unfold map of the left atrium.
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A novel method to automatically map multimodal information onto a standardised unfold map of the left atrium allows for improved visualization and comparison of force and scar data post-ablation.
Atrial fibrillation (AF) can be treated by catheter abla-/ntion to electrically isolate t/nhe pulmonary veins (PVs)/nfrom the left atrial (LA) body. To guide the procedure,/nan anatomical representation of the LA is usually visua-/nlised by an electroanatomical mapping system. As a/nfollow-up, late gadolinium enhancement MR sequences/ncan be obtained to assess the extent of ablation delivery./nHowever, visual analysis and quantification is time-/nconsuming with poor reproducibility. Unfold maps/noffer advantages over 3D surfaces for visualisation of/nimaging information while providing a common reference/nspace for inter-subject comparison. We have developed a/nmethod to automatically map multimodal information/nonto a standardised unfold map (SUM) of the LA. We/nuse the SUMs to compare force and scar information/nfrom the same patient.
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Tobon‐Gomez et al. (2015) studied Atrial fibrillation (n=10). Standardised unfold map (SUM) of the left atrium was evaluated on Mapping of multimodal information onto a standardised unfold map. A method was successfully developed to automatically map multimodal information, including MRI scar data and CARTO force measurements, onto a 24-region standardised unfold map of the left atrium.
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