- Oral presentation
- Open Access
Visualization of ablation lesions by dynamic contrast-enhanced (DynCE) MRI
© Shmatukha et al; licensee BioMed Central Ltd. 2010
- Published: 21 January 2010
- Latissimus Dorsi
- Delay Enhancement
- Latissimus Dorsi Muscle
- Ablation Lesion
- Thermal Lesion
Intra-operative lesion visualization is important during ablative cardiac procedures whose success depends on the contiguity and transmurality of the ablation lesions. The usefulness of contrast kinetics analysis for thermal lesion visualization has been already demonstrated [1, 2]. However, the method relied on lengthy image acquisition and model-based curve fitting of complete data sets. Delayed enhancement (DE) methods [3–5] required lengthy scan and waiting (after contrast agent, CA, injection) times. Non-enhanced visualization  delivered lower lesion-to-background contrasts. We report a novel method for analyzing MRI-apparent contrast uptake dynamics, which allows robust and quick visualization of RF lesions.
Identify an approach for rapid and reliable visualization of radiofrequency (RF) ablation lesions suitable for intra-operative usage on combined XMR suites.
Using clinical EP catheters, 16 RF lesions were created in the Latissimus dorsi muscles of 4 rabbits with power/time settings varying in the range 30-35 Watt/30-45 sec. T1w, T2w, SSFP, DE and Dynamic Contrast-Enhanced (DynCE MR) images of the lesions were acquired 2-3 hours after the ablations. One animal was also imaged 1 week after the ablation.
DynCE images were acquired simultaneously with CA injection using RF-spoiled FGRE. 4-5 slices were imaged in 3:31-6:33 minutes with temporal resolution of 8-19 seconds. 4-10 minutes after CA injection, DE images were acquired using IR-FSPGR.
DynCE images were post-processed on a stand-alone workstation using in-house developed algorithms and software. Cumulative intensity difference (CID) and ratio (CIR) maps, together with their inclination maps, were calculated on each dynamic data set using only the previous and current dynamics. The location, size, and appearance of the lesions, identified on the maps, were compared to currently available imaging standards for lesion visualization [3–6].
The proposed DynCE analysis algorithms are suitable for rapid intra-operative RF lesion visualization and can be used on combined XMR suites if the images are acquired with proper cardiac and respiratory gating. They could be used for automated thermal lesion detection.
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