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Atrial fibrillation (AF) is associated with diffuse left atrial (LA) fibrosis and a reduction in endocardial voltage. These changes are indicators of AF severity and appear to be predictors of treatment outcome. In this study we report the utility of delayed enhancement MRI (DE-MRI) in detecting abnormal atrial tissue prior to radiofrequency ablation and in predicting procedural outcome.
Eighty-one patients presenting for pulmonary vein antrum isolation (PVAI) for treatment of AF underwent 3D DE-MRI of the LA prior to the ablation. Six healthy volunteers were also scanned. DE-MRI images were manually segmented to isolate the LA and custom software was implemented to quantify the spatial extent of delayed enhancement, which was then compared to the regions of low voltage from electroanatomical maps from the PVAI procedure. Patients were assessed for AF recurrence at least six months following PVAI with average follow-up of 9.6 ± 3.7 months (range = 6 to 19 months). Based on the extent of pre-ablation enhancement, 43 patients were classified as having minimal enhancement (average enhancement = 8.0% ± 4.2%), 30 as moderate (enhancement = 21.3% ± 5.8%), and 8 as extensive (enhancement = 50.1% ± 15.4%). The rate of AF recurrence was 6 patients (14.0%) with minimal enhancement, 13 (43.3%) with moderate and 6 (75%) patients with extensive enhancement (p <0.001).
DE-MRI provides a non-invasive means of assessing LA myocardial tissue in patients suffering from AF and might provide insight into the progress of the disease. Pre-ablation DE-MRI holds promise to predict responders to AF ablation and may provide a metric of overall disease progression.
Pulmonary vein antrum isolation (PVAI) is effective in treating patients with paroxysmal, persistent and longstanding persistent forms of atrial fibrillation (AF).1–4 PVAI helps restore normal sinus rhythm in a majority of patients independent of the effects of antiarrhythmic-drug therapy, cardioversion, or both.5, 6
Recent breakthroughs in the understanding of pathophysiology of AF have suggested structural and functional characteristics that relate to treatment. This progress was initiated by identifying focal points of electrical activity within the pulmonary veins as a causative factor of the arrhythmia.1 Subsequent exploration of the left atrial (LA) substrate has suggested that AF may be a self-perpetuating disease wherein chronic or recurrent fibrillatory activation induces progressive electrical and tissue structural remodeling.7, 8 Although the mechanisms underlying the remodeling are complex, the changes in electrical activation manifest as reduction in myocardial voltage and a decrease in the effective refractory period.9, 10 The degree of voltage reduction may help grade the severity of tissue pathology underlying AF and preliminary results suggest that the success of PVAI is reduced when substantial low voltage tissue or pre-existing scar are present.11 Histological examination of LA tissue has confirmed the presence of fibrosis in regions of low voltage tissue,12 but determining the extent and location of fibrosis in the LA without using invasive techniques has not been possible. As a result, the effects of such structural remodeling on patient outcome to treatment are poorly understood.
Delayed enhancement MRI (DE-MRI) is an established method for visualizing tissue necrosis in cardiac disease processes including myocardial infarction and myocarditis.13–15 Contrast enhancement occurs due to altered washout kinetics of gadolinium relative to normal surrounding tissue, which may reflect increased fibrosis or tissue remodeling of the myocardium.13 In this study, we assessed the feasibility of a new DE-MRI acquisition and processing protocol to detect fibrosis in the LA prior to ablation and its potential to predict PVAI procedural outcome.
Patients in this study presented to the University of Utah for PVAI of symptomatic AF from December 2006 to January 2008. The study protocol was reviewed and approved by the University of Utah IRB and was HIPAA compliant. During the course of the study, DE-MRI scans were performed on 118 patients. Fifteen of the scans were uninterpretable due to significant wraparound artifact or substantial blurring due to patient motion. An additional 22 patients were removed from analysis due to an incorrect choice of inversion time or other concerns regarding DE-MRI quality, leaving 81 patients in the clinical cohort. Table 1 lists the demographics of the study patients. After informed consent, patients underwent MRI scanning to define pulmonary vein anatomy, LA area, and LA wall thickness. LA appendage thrombus was ruled out via trans-esophageal echocardiogram. Left ventricular ejection fraction was obtained via biplane trans-thoracic echocardiogram. LA volume was determined by segmentation of the blood volume on MRI angiography images.
The baseline AF type was categorized as either paroxysmal AF (episode of AF that self-terminated within seven days) or persistent AF (episode of AF lasting longer than seven days). Patients who required either pharmacological treatment or medical or electrical cardioversion were classified as persistent AF. All antiarrhythmic medications were stopped 24 or 48 hours prior to the procedure. Amiodarone was discontinued at least three month prior to the procedure. The data regarding the patient’s response to antiarrhythmic drugs was assessed through retrospective chart review. Failure to respond to a given medication was defined as having an episode of breakthrough AF while on the antiarrhythmic drug.
Six healthy volunteers without a history of AF or other cardiac arrhythmias also underwent DE-MRI acquisition in the same manner as patients presenting for PVAI. The volunteers included four men and two women with a mean age of 44.2 ± 21.2 years (range = 26 to 81 years). The volunteers did not undergo electroanatomic (EA) mapping.
All patients underwent MRI studies on a 1.5 Tesla Avanto clinical scanner (Siemens Medical Solutions, Erlangen, Germany) using a TIM phased-array receiver coil or 32-channel cardiac coil (Invivo Corp., Gainesville, FL). DE-MRI was acquired approximately 15 minutes after the contrast agent injection (dose = 0.1 mmol per kilogram of body weight [Multihance, Braco Diagnostic Inc., Princeton, NJ]) using 3D inversion-recovery-prepared, respiration navigated, ECG-gated, gradient echo pulse sequence with fat saturation. Typical acquisition parameters were: free-breathing using navigator-gating, a transverse imaging volume with true voxel size=1.25×1.25×2.5 mm, flip angle = 22°, repetition time/echo time = 6.1/2.4 ms, inversion time (TI)=230–320 ms, parallel imaging using GRAPPA technique with R=2 and 42 reference lines. ECG gating was used to acquire a subset of phase encoding views during diastolic phase of the LA cardiac cycle. Typical scan time for the DE-MRI study was 5–9 minutes depending on subject respiration and heart rate. Seventy-three of eighty one patients (90.1%) were in normal sinus rhythm during MRI acquisition. Patients who were in AF at the time of clinical presentation were often cardioverted to restore normal sinus rhythm prior to MRI acquisition. Additional details regarding the MRI acquisition methods and data documenting inter and intra observer variability of the quantification methodology may be found in the technical addendum.
In the volunteer group, the DE-MRI scans were acquired at 15 and again at 30 minutes following contrast injection. In a subset of four patients, a third DE-MRI scan was acquired 45 minutes following contrast injection. In total, 16 DE-MRI scans from the healthy volunteers were acquired and analyzed. Image processing and quantification was performed in the same manner as for AF patients.
At the beginning of the PVAI procedure, a detailed voltage map of the LA was obtained in all patients using the three-dimensional EA mapping system CARTOMERGE (Biosense Webster, Diamond Bar, CA). The physician performing the PVAI procedure was blinded to the DE-MRI results. Mapping was performed in sinus rhythm whenever possible. Efforts were made to distribute measurement points evenly throughout the LA and bipolar voltage was measured from peak to peak with the signal filtered from 30 to 400 Hz. Endocardial contact of the mapping catheter (Navistar-ThermoCool, Biosense Webster) was confirmed visually using fluoroscopy and intracardiac echocardiography (ICE) as well as through the CARTO 3-D navigation system to indicate that the catheter was stable in space and in good contact with the LA wall. Forty-eight of eighty-one patients (59.3%) were in normal sinus rhythm during EA mapping, 27/81 patients (33.3%) were in AF during EA mapping and 6/81 (7.4%) were in atrial flutter.
Ablation was performed under ICE in all study patients as described previously.11, 16, 17 Briefly, a 10 F, 64 element, phased array ultrasound catheter (AcuNav, Siemens Medical Solutions USA, Inc) was used to visualize the inter-atrial septum and to guide the trans-septal puncture. A circular mapping catheter (Lasso, Biosense Webster) and an ablation catheter were inserted into the LA. ICE was used to define the PV ostia and their antra as well as the posterior wall. ICE was additionally used to position the circular mapping catheter and ablation catheter. All study patients underwent PVAI, defined as electrical disconnection of the PV-antrum from the LA together with posterior wall and septal debulking.
Following the procedure, all patients were observed on a telemetry unit for 24 hours. Following discharge, patients underwent 8 weeks of patient-triggered and auto-detected event monitoring and were instructed to activate the monitors any time they felt symptoms. Patients continued anti-coagulation therapy with warfarin (international normalized ratio of 2.0–3.0) for a minimum of three months. Patients were assessed for AF recurrence at three months, six months, and one year after the procedure. The average follow-up in this study was 9.6 ± 3.7 months (range 6 to 19 months).
Procedural success was defined as freedom from AF, atrial tachycardia, and atrial flutter while off of antiarrhythmic medications three months following PVAI (i.e., blanking period of 90 days).18 To confirm the absence of asymptomatic AF, all patients received a 48-hour Holter ECG recording within 24 hours following the procedure and an 8-day Holter ECG at 3, 6, and 12 month follow-up. Recurrences were therefore determined from patient reporting, event monitoring, Holter monitoring and ECG data and were defined as any symptomatic or asymptomatic detected episode of AF, atrial tachycardia, or atrial flutter lasting > 30 seconds.
Three-dimensional visualization and segmentation of the MRI was performed using OsiriX 188.8.131.52 The LA was segmented manually in all patients and verified visually in the original image stack prior to rendering. Initial visualization used a Maximum Intensity Projection (MIP) to assess contrast consistency followed by volume rendering using a ray-cast engine with linear table opacity. A Color Look-Up Table (CLUT) mask was applied in order to better differentiate between enhanced and non-enhanced tissue.
In all images, the epicardial and endocardial borders were manually contoured using image display and analysis software written in MATLAB (The Mathworks Inc. Natick, MA). The relative extent of fibrosis was quantified within the LA wall using a threshold based algorithm (Appendix). Patients were assigned to one of three groups based on the extent (percentage of LA myocardium) enhancement. The extent of enhancement was entered into analysis as a categorical variable. Patients with mild enhancement showed abnormal enhancement in less than 15% of the LA wall. Moderate enhancement was considered to be between 15% and 35% of the LA wall. Extensive enhancement was considered to be greater than 35% LA wall enhancement. LA volume was also entered into the predictive model as a categorical variable with patients divided into four separate groups based on the quartile cut-off points. Quartile 1 included patients with LA volume < 59.89 mL, quartile 2 included patients with LA volume between 59.9 and 85.9 mL, quartile 3 included patients with LA volume between 85.91 to 116.12 mL, and quartile 4 included patients with LA volume > 116.13 mL.
A quantitative and qualitative analysis was performed to correlate low voltage regions on EA maps and enhancement on DE-MRI. Fifty-four patients with high quality CartoXP maps (defined as greater than 100 voltage points evenly spread throughout the atrium) were selected. The LA on the EA map and 3D DE-MRI was subdivided into 18 specific regions; 9 on the posterior wall and 9 on the anterior and septal wall. Four blinded reviewers (two experts in cardiac MRI and two experts in AF ablation) scored the MRI models and EA maps on a 0 to 3 scale. For MRI models, 0 was no enhancement, 1 was mild, 2 was moderate, and 3 was extensive enhancement. For the EA maps, 0 was considered healthy tissue (voltage > 1 mV, purple on EA maps), 1 was mild illness (voltage between > 0.1 mV and < 0.5 mV), 2 was moderate illness (presence of low voltage tissue [voltage > 0.1 mV and < 0.5 mV] as well as fibrotic scar [voltage < 0.1 mV]), and 3 was considered diseased tissue with significant scarring (voltage < 0.1 mV, red on EA maps). The overall score was an average sum of all nine regions for both the posterior wall and the septum.
The reviewers then qualitatively assessed the relationship between EA maps and MRI models. The relationship was rated on a 0 to 4 scale where 0 was coded as “No Relationship,” 1 was coded as “Poor”, 2 was graded as “Mediocre”, 3 as “Good”, and 4 as “Excellent”.
Normal continuous variables are presented as mean ± standard deviation. Continuous data were analyzed by one-way ANOVA to test for significant differences. Recurrence was analyzed in a time to event Cox regression model. Recurrence after the blanking period was considered the failure variable, category of fibrosis (mild, moderate, severe) was considered the predictor variable and available follow up duration was used as the time variable. A test of the proportional hazards, a required assumption of Cox regression, was performed for each covariate and globally using a formal significance test based on the unscaled and scaled Schoenfeld residuals.20 A quantitative analysis of the relationship between DE-MRI and EA maps was performed using linear regression.
Multivariate analysis was conducted using a logistic regression model reporting odds ratios. Predictor variables included extent of LA wall enhancement, LA volume, AF type and age. Differences were considered significant at p < 0.05. Statistical analysis was performed using the SPSS 15.0 Statistical Package (SPSS Inc.; Chicago, IL), STATA 9 (StataCorp; College Station, TX), and Microsoft Excel 2007 (Microsoft corporation; Redmond, WA). In addition, a Harrell’s c-statistic was calculated for the Cox regression model.21
The authors had full access to the data and take responsibility for its integrity. All authors have read and agree to the manuscript as written.
Eighty-one patients underwent PVAI for treatment of AF. Forty-one patients were classified as paroxysmal AF and 40 patients as persistent AF. Forty-three patients were identified with mild enhancement, 30 with moderate enhancement and 8 with extensive enhancement. Table 1 lists the patient demographics for the three patient groups and overall demographics for the clinical cohort. Twenty-five patients were placed back on antiarrhythmic medications following the procedure and continued therapy for a total of eight weeks following the procedure.
Among the healthy volunteers, the average extent of LA wall enhancement was 1.7% ± 0.3%. In the 43 patients classified as having mild LA enhancement, the average LA wall enhancement was 8.0% ± 4.2%. In the 30 patients with moderate enhancement, average LA wall enhancement was 21.3% ± 5.8%. In the 8 patients with extensive enhancement, the average LA wall enhancement was significantly higher at 50.1% ± 15.4%. All patients with extensive enhancement presented with persistent AF. While all groups had similar population characteristics at baseline, a statistically significant difference in LA volume was noted between those with mild or moderate enhancement and individuals with extensive enhancement (p < 0.001).
DE-MRI detected enhancement in all patients presenting for PVAI. Figure 1 shows the 3D segmented MRI (Figure 1A) and color model (Figure 1B) for one patient. Discrete patches of enhancement/fibrosis (green) can be seen in the posterior wall (PA view) and septum (RAO view) on both the MRI and the EA map. In comparison, the healthy volunteers showed little to no abnormal enhancement. Figure 2 shows MRI models for two individuals that lacked the type of enhancement seen in patients with AF.
Figure 3 shows 3D MRI models in patients with mild structural remodeling. The minimal contrast is suggestive of largely viable and electrically normal atrial myocardium, a finding verified when compared to EA maps obtained during the procedure (Figure 3D). In all patients, a correlation between regions of enhancement on DE-MRI and low voltage regions on EA maps was seen (Figure 1, Figure 3–Figure 5). Quantitative analysis of this relationship demonstrated a positive correlation of R2 = 0.61 (Figure 6).
In addition to the extent of LA wall enhancement, the primary location of enhancement differed among the three patient groups. Among patients with mild and moderate LA wall enhancement, it was primarily seen in the posterior wall and inter-atrial septum (Figure 3–Figure 4). Among patients with extensive low voltage tissue (Figure 5), enhancement was seen in all portions of the LA wall including the posterior wall, inter-atrial septum, and anterior wall. This difference resulted in a large statistically significant difference in the location of LA wall enhancement (p < 0.001). When compared to the EA maps, two distinct patterns emerged: some patients exhibited continuous regions of enhancement (Figure 5, Patient 1) while others showed a scattered pattern enhancement (Figure 5, Patient 2).
Fifty-six of eighty-one patients (69.1%) remained free of AF recurrence while off anti-arrhythmic drugs. Only 6 patients (14.0%) with minimal enhancement suffered AF recurrence while 13 (43.3%) of the moderate and 6 (75%) of the extensive group suffered AF recurrence (Cox regression, p < 0.05). Patients who suffered AF recurrences were placed back on anti-arrhythmic drugs and of these, 21/25 (84%) responded favorably to anti-arrhythmic drug therapy post-ablation and maintained normal sinus rhythm.
Prior to ablation, 70 patients were tried on anti-arrhythmic drugs. 32 patients responded favorably to anti-arrhythmic drugs and 38 patients did not. A statistically significant difference in the extent of LA enhancement was also noted between patients who responded to medical therapy (13.3% ± 9.9%) versus those who did not (21.2% ± 18.7%; Logistic regresison p = 0.038). The extent of delayed enhancement as a single predictor achieved a c-statistic of 0.62. Table 2 shows that the extent of LA wall enhancement was the strongest predictor of response to rhythm control response with anti-arrhythmic drugs and ablation.
Figure 7 shows the Cox regression analysis of patients in normal sinus rhythm following ablation of the LA grouped by the extent of enhancement. In addition to the overall differences in AF recurrence, patients with moderate and extensive enhancement often suffered recurrence at later time points than those with mild enhancement. Of special note, after the six month follow-up, no recurrences were noted in the mild enhancement group.
The cutoff points between mild enhancement and moderate enhancement (15%) and between moderate and extensive enhancement (35%) were chosen after manual review of the data distribution—and prior to outcome analysis—as natural breakpoints between populations.
Table 2 shows the results of the three multivariate models. For all three outcome metrics of interest, the extent of LA wall enhancement was the most statistically significant predictor. For baseline AF, both the extent of LA wall enhancement and LA volume remained as statistically significant predictors of persistent forms of the arrhythmia though extent of LA wall enhancement had a greater adjusted odds ratio (Adj OR = 3.47; 95% CI = [1.32, 9.16]) than LA volume (Adj OR = 1.02, 95% CI = [1.01, 1.04]). This finding may reflect the fact that both variables likely have a degree of correlation with one another; they are both predictors of severe and persistent forms of the disease. Extent of LA wall enhancement was the most statistically significant predictor of the patient’s response to both drug and ablation therapies for AF. After controlling for the effect of LA wall enhancement in the drug therapy model, none of the other variables achieved statistical significance
In this study, we describe a novel, non-invasive method of using DE-MRI to detect pathologic regions of LA tissue in patients with AF. Our results also indicate that an increased amount of enhancement within the LA is strongly associated with AF recurrence following PVAI. If substantiated, this method would provide guidance in determining appropriate candidates for catheter ablation of AF.
The results presented here also correlate well with other studies that considered pre-existent LA low voltage tissue and scarring (determined by invasive EP study) as an independent predictor of procedural failure and eventual AF recurrence.11 Our results also demonstrate that not only the extent but also the locations of LA enhancement appear to be important predictors of ablation success (Table 3). Patients who suffered recurrent AF showed enhancement in all portions of the LA while patients who responded successfully to ablation showed enhancement primarily limited to the posterior wall and septum.
The presence of fibrosis/low voltage tissue has been postulated as a potential cause of the abnormalities in atrial activation that may underlie the initiation and maintenance of fibrillation.22, 23 Animal studies have confirmed an increased tendency for AF when atrial fibrosis is experimentally induced.24–26 Increased fibrosis has also been clearly demonstrated in human LA tissue specimens of patients with AF 27–28 and correlations have been seen between serum markers of atrially selective fibroblasts and clinical AF.29 Other studies have shown that atrial fibrosis can lead to AF induction by burst or premature atrial pacing that would otherwise fail to cause AF in normal hearts.25, 30 Spatial distribution and degree of fibrosis/low voltage tissue appears to have an important influence in fibrillatory dynamics, including both the location and variability of wavefront breakthroughs.31 By altering the LA substrate, it is therefore likely that fibrotic change and structural remodeling aid in the formation of circuits needed for re-entry, thus perpetuating the atrial arrhythmia. These findings are consistent with the trends noted in this study. In multivariate analysis, the extent of LA wall enhancement seemed to be most associated with the more persistent form of the atrial arrhythmia (Table 2).
DE-MRI is a well-established method for characterizing fibrosis and tissue remodeling in the ventricle. It is commonly employed to characterize tissue heterogeneity in ventricular myocardium that may increase arrhythmia generation and to differentiate hibernating muscle from nonviable tissue in the setting of myocardial ischemia.32–34 Despite its success, however, the use of DE-MRI has largely been confined to the ventricle due to the challenges in spatial resolution required to image the LA wall. This study presents an imaging methodology for successfully obtaining DE-MRI scans with sufficient spatial resolution and signal to noise ratio for visualization and analysis of LA tissue. In addition to its non-invasive nature, DE-MRI offers other advantages over invasive EA mapping studies to assess LA tissue health. For example, CARTO based mapping studies have been associated with a high degree of spatial error, from 0.5 to 1.0 cm, in comparative studies.35, 36 In contrast, reconstruction utilizing DE-MRI provides information regarding both anatomy and the location of pathology without spatial distortion.
AF is a progressive disease, which suggest the presence of a self-perpetuating cycle and there is evidence that causality between fibrillation and fibrosis may be bidirectional. Rapidly paced cardiac myocytes have been shown to release factors that induce a nearly four-fold increase in collagen-1 and fibronectin-1 in atrial tissue.37 In this study, patients suffering recurrence exhibited a significant difference in the amount of structural remodeling as compared to individuals without recurrence. This observation helps corroborate the link between the degree of fibrosis and the disease severity in AF. In our study, patients with extensive enhancement presented exclusively with persistent forms of the disease. Further, multivariate analysis demonstrated that the greatest degree of variance for ablation outcome and response to medical therapy were explained by the degree of fibrotic enhancement in the LA wall (Table 2). This and the other associated findings therefore present a disease model that supports the importance of early intervention.
Determining the extent of low voltage tissue prior to ablative treatment provides an opportunity to characterize the stage of disease in patients with AF. Based upon the results of this study, ablative treatment of AF in patients with extensive LA enhancement should be offered with a reduced expectation of long-term success. Additional research is necessary to determine whether ablation represents a viable treatment option in patients with extensive enhancement or whether additional medical therapy should be further investigated in these patients.11 DE-MRI screening will likely allow for better patient selection and may aid in identifying candidates for repeat procedures who still have patches of tissue suitable for ablation.
Though statistically significant differences in the degree of enhancement were seen between patients with paroxysmal and persistent AF, those patients who responded to medical therapy and those who did not, and patients who suffered a recurrence of AF; the sample size is relatively small and these findings will need to be verified in larger patient cohorts. Larger studies are also needed to improve the value of the c-statistic in order to make it a stronger prognostic indicator in clinical practice. In addition, MR imaging in this study was performed on a 1.5 Tesla scanner and significant improvements in LA wall imaging with greater spatial resolution and improved signal to noise ratio are expected at higher magnetic field (3 Tesla). The presence of respiratory navigator artifacts and other MRI noise may lead to the inappropriate detection and quantification of fibrosis, though such effects appeared to be minimal in this study. Finally, the algorithm used to detect and quantify fibrosis requires an experienced observer to choose threshold levels.
Delayed Enhancement MRI of the left atrium coupled with advanced image analysis techniques provides a non-invasive method for quantifying and localizing left atrial changes associated with atrial fibrillation. Patients with a greater extent of delayed enhancement in the left atrial wall suffer much higher recurrence rates after PVAI for atrial fibrillation. Delayed enhancement MRI holds great promise to guide physicians in recommending catheter ablation or medical management for patients with atrial fibrillation.
Catheter ablation has become an increasingly popular and acceptable treatment option for the atrial fibrillation (AF) patient. Nevertheless, many questions remain regarding pre-procedural predictors of ablation failure. In this manuscript, we describe a novel delayed enhancement MRI based method to detect and quantify pre-existent left atrial (LA) structural remodeling in patients undergoing ablation of AF. We found that patients with extensive pre-ablation LA enhancement were more likely to suffer AF recurrence post-ablation than those with minimal or moderate degrees of enhancement. This non-invasive modality would allow patients to be selectively screened prior to ablation to determine whether they are appropriate candidates for the procedure. The ability to properly select ablation patients will reduce the unnecessary risks and costs to those patients who stand to benefit little from the procedure.
The authors gratefully acknowledge the aid of Josh Bertola, Duane Richins and Judy Eldredge who aided with the acquisition of the MRI scans.
Funding Sources. NIH/NIDDK Grant 5T35 HL00774-15, “Short-Term Training: Students in Health Professional Schools” provided the funding for Robert Oakes during this study. The authors also acknowledge the computational support and resources provided by the Scientific Computing and Imaging Institute and the NIH NCRR Center for Integrative Biomedical Computing (www.sci.utah.edu/cibc), NIH NCRR Grant No. 5P41RR012553-02.
Conflict of Interest Disclosures. Eugene Kholmovski, Edward DiBella, Dennis Parker and Nassir Marrouche are partially supported by grants from Siemens Medical and Surgivision. All other coauthors have no disclosures.