Cardiac motion remains a challenge in the treatment of ventricular tachycardia with external beam ablation therapy. Current techniques involve expansion of the treatment area which can lead to unwanted collateral damage. Surrounding healthy tissue could be spared by gating the delivery of the beam to the cardiac cycle. In prior work, we assessed cardiac motion using in vivo fiducial markers and demonstrated that motion would be reduced if treatment were gated to half of the cardiac cycle, approximately corresponding to diastole. In the current work, we extend our prior analysis by quantitatively assessing the optimal gating window for motion reduction in the left ventricle. Motion was assessed in five porcine models with two fiducial clips per animal for a total of ten clips. The minimal cardiac motion occurred when the gating window started at 70% of the cardiac cycle. Without gating, three-dimensional cardiac motion was 7.0 ± 3.9 in x (left/right), 5.3 ± 2.5 in y (anterior/posterior), and 5.6 ± 2.3 in z (superior/inferior) mm. Using an optimal gating window, cardiac motion was 3.1 ± 1.8 in x (left/right), 2.5 ± 1.2 in y (anterior/posterior), and 3.1 ± 1.7 in z (superior/inferior) mm. The percentage reduction in motion with optimal gating was 51 ± 23 in x (left/right), 49 ± 21 in y (anterior/posterior), and 45 ± 24 % in z (superior/inferior). This work demonstrates that gating shows significant promise for reducing the effects of left ventricular motion when treating ventricular tachycardia with external beam ablation therapy.
External beam ablation therapy has the potential to treat cardiac arrhythmias non-invasively by targeting arrhythmogenic myocardial tissue; however, a challenge of treating cardiac tissue with beam ablation therapy is cardiac motion. Currently, cardiac motion is typically compensated by expansion of the target volume which can potentially lead to collateral damage of surrounding healthy tissue. This collateral damage could be minimized by gating the beam delivery to a portion of the cardiac cycle. In prior work, we evaluated cardiac motion using anatomic landmarks in multi-phase cardiac computed tomography volumes of swine hearts across the left atria and ventricles. Other work evaluated left atrial motion using implanted fiducial clips. In the current work, we extend this prior work by quantifying cardiac motion using gold standard implanted fiducial clips across all four chambers of the heart. Cardiac motion varied by chamber, ranging from 2.1 to 7.2 mm in the x direction, 7.2 to 8.1 mm in the y direction, and 3.1 to 9.7 mm in the z direction. In addition, we quantify the reduction in motion if delivery were gated to phases 40% to 90% of the cardiac cycle, which corresponds to treating across 50% of the cardiac cycle. Cardiac motion across 50% of the cardiac cycle ranged from 1.1 to 5.3 mm in the x direction, 4.5 to 5.2 mm in the y direction, and 1.2 to 7.8 mm in the z direction. Percentage reduction in motion for treating during 50% of the cardiac cycle ranged from 18% to 47% in the x direction, 31% to 43% in the y direction, and 11% to 61% in the z direction. These results demonstrate that a substantial improvement in target localization could be achieved by gating the beam to 50% of the cardiac cycle.
Proton beam therapy has the potential to non-invasively treat ventricular tachycardia (VT) by homogenizing infarct scar. It has been previously demonstrated that proton beam therapy can create lesions in healthy myocardial tissue, thereby suggesting a potential for treatment of VT. In prior work, we quantified the relationship between dose delivered to myocardial tissue with lesion formation identified with in vivo, delayed contrast-enhanced magnetic resonance imaging (DCE-MRI) scans. In the current work, we evaluate the relationship of delivered dose with lesions identified in high resolution, post-mortem DCE-MRI scans. Deformable registration is used to align the dose maps from the baseline planning CT scans to ex vivo scans following proton beam therapy in swine. The current study demonstrates that nearly 100% of tissue exposed to a dose of 30 Gy or higher developed into lesion and approximately 85% of the tissue in the 20-30 Gy interval developed into lesion. On the other hand, tissue exposed to doses of 10 Gy or less tended to remain healthy myocardium, with less than 10% of tissue in the 5-10 Gy range and almost no tissue in the 0-5 Gy range developing into lesion.
Publisher’s Note: This paper, originally published on 16 March 2020, was replaced with a corrected/revised version on 28 April, 2020. If you downloaded the original PDF but are unable to access the revision, please contact SPIE Digital Library Customer Service for assistance.
External beam therapy has recently been proposed for treatment of ventricular tachycardia (VT). One of the goals of VT ablation is to eliminate myocardial channels by homogenizing infarct scar, thereby inhibiting reentry and eliminating VT. It has been previously shown that proton beam therapy can create lesions in healthy myocardial tissue, thereby suggesting a potential for treatment of VT. To date; however, the effects of proton beam energy in infarcted myocardial tissue is unknown. In the current work, we track proton beam dose maps in a series of delayed contrast-enhanced magnetic resonance imaging swine datasets across 16 weeks to assess the effects of proton beam ablation on infarcted myocardial tissue.
Respiratory motion management is crucial for maintaining robustness of the delivered dose in radiotherapy. This is particularly relevant for spot-scanned proton therapy, where motion-induced dosimetric “interplay” effects can severely perturb the planned dose distribution. Our proton therapy vendor developed a stereoscopic kV x-ray image guidance platform along with a 3D/2D image matching algorithm for 6 degreeof-freedom patient positioning with a robotic couch (6DOF couch). However, this vendor-provided solution lacks the capability to adequately handle real-time kV fluoroscopy, which is crucial for aspects of motion management. To address this clinical gap, we augmented vendor’s system with a custom signal processing pathway to passively listening for flat-panel detector (FPD) data stream (Camera Link) and handle fluoroscopic frames independently in real time. Additionally, we built a novel calibration phantom and the accompanying room-geometry-specific calibration routine for projective overlay of DICOM-RT structures onto the 2D FPD frames. Because our calibration routine has been developed independently, this tool may also serve as an independent means to test and validate the vendor’s imaging geometry calibration. We developed a Windows-based application in .NET/C# to drive all data acquisition and processing. Having DICOM integration with our treatment planning infrastructure, this therapy tool automatically archives clinical x-ray data to a HIPAA-compliant cloud, and therefore serves as a data interface to retrieve previously recorded x-ray images and cine video streams. This functions as a platform for image guidance research in the future. The next goal on our roadmap is to develop deep-learning methods for real-time soft-tissue-based tumor tracking.
Proton beam therapy has recently been proposed as a noninvasive approach for treating ventricular tachycardia (VT), where target regions are identified in the myocardium and treated using external beam therapy. Effective treatment requires that lesions develop at target sites of myocardial tissue in order to stop arrhythmic pathways. Precise characterization of the dose required for lesion creation is required for determining appropriate dose levels in future clinical treatment of VT patients. In this work, we use a deformable registration algorithm to align proton beam delivery isodose lines planned from baseline computed-tomography scans to follow-up delayed contrast-enhanced magnetic resonance imaging scans in three swine studies. The relationship between myocardial lesion formation and delivered dose from external proton beam ablation therapy is then quantitatively assessed. The current study demonstrates that myocardial tissue receiving a dose of 20Gy or higher tends to develop into lesion, while tissue exposed to less than 10Gy of dose tends to remain healthy. Overall, this study quantifies the relationship between external proton beam therapy dose and myocardial lesion formation which is important for determining dose levels in future clinical treatment of VT patients.
Ventricular tachycardia is increasingly treated with ablation therapy, a technique in which catheters are guided into the ventricle and radiofrequency energy is delivered into the myocardial tissue to interrupt arrhythmic electrical pathways. Recent efforts have investigated the use of noninvasive external beam therapy for treatment of ventricular tachycardia where target regions are identified in the myocardium and treated using external beams. The relationship between the planned dose map and myocardial tissue change, however, has not yet been quantified. In this work, we use a deformable registration algorithm to align dose maps planned from baseline computed-tomography scans to delayed contrast-enhanced magnetic resonance imaging scans taken at 4 week intervals following proton beam therapy. From this data, the relationship between the planned dose and image enhancement, which serves as a surrogate for tissue change, can be quantified.
KEYWORDS: Heart, Computed tomography, Motion models, Animal model studies, Systems modeling, Veins, Image-guided intervention, 3D acquisition, 3D modeling, Analytical research
Cardiac arrhythmias, a condition in which the heart beats irregularly, are typically treated with drug or cardiac ablation therapy. More recently, external beam ablation therapy has been proposed as a potential approach for treating cardiac arrhythmias. Currently, a significant challenge regarding external beam ablation therapy in the heart is compensation for cardiac motion to ensure precise targeting. Porcine animal models are often used for evaluating image-guided intervention systems for cardiac applications; however, to date there have been relatively few studies evaluating motion in the swine heart. In this study, we model and quantify cardiac motion in the left atrium and left ventricle of three beating porcine hearts by tracking anatomic landmarks across twenty phases of the cardiac cycle from multi-phase computed tomography images. 10 landmarks are tracked for each porcine heart, 5 in the left atrium and 5 in the left ventricle. The mean (std) displacement for the 5 left atrial landmarks is 5.5(3.5) mm in x, 5.0(2.9) mm in y, and 5.6(3.3) mm in z. The mean (std) displacement for the 5 left ventricular landmarks is 7.1(3.8) mm in x, 9.9(5.2) mm in y, and 7.7(3.1) mm in z.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.