北京生物医学工程

一种自动有效的电解剖图与CT曲面配准算法

An automatic and efficient electroanatomic map and CT surface registration method

作者：舒丽霞王琎龙德勇蔺嫦燕

单位：首都医科大学附属安贞医院-北京市心肺血管疾病研究所（北京 100029）

分类号：R318.04

出版年·卷·期（页码）：2016·35·6（571-575）

摘要：

目的为房颤消融手术提供一种自动精确的电解剖图与CT曲面配准算法。方法首先，以基于主轴的方法粗配准电解剖图与CT曲面,然后以基于迭代最近点的方法进一步精配准两图。结果采用CartoMerge、随机方法和本文提出的基于迭代最近点的方法分别逐一配准三组真实和三组模拟的电解剖图与CT曲面。相对Carto-Merge和随机方法，基于迭代最近点的方法配准结果稳定，精度最高，而且算法完全自动，无需任何手动操作。结论基于迭代最近点的电解剖图与CT曲面配准算法能很好地满足临床房颤消融手术的需求。

Objective To propose an automatic and accurate electroanatomic map (EAM) and CT surface registration algorithm for atrial fibrillation ablation surgeries. Methods First, EAM and CT surface were coarsely aligned by the principal axes based method. Then, they were finely aligned by iterative closest point algorithm (ICP). Results Three real EAM/CT pairs and three simulated EAM/CT pairs were respectively registered by CartoMerge, stochastic approach (SA) and our ICP based method. Compared to CartoMerge and SA, our method ran full automatically and obtained steadier and much more accurate registration results. Conclusions ICP based method is efficient for catheter navigation in atrial fibrillation ablation surgeries.

参考文献：

［1］Koch M，Brost A，Bourier F，et al. Automatic planning of atrial fibrillation ablation lines using landmark-constrained nonrigid registration［J］. J Med Imag, 2014, 1(1): 015002-1-015002-7.

［2］Nollo G, Cristoforetti A, Faes L, et al. Registration andfusion of segmented left atrium CT images with CARTO electrical maps for the ablative treatment of atrial fibrillation［C］//Computers in Cardiology. ChiCaogo， USA：IEEE 2004, 31:345-348.

［3］Dong J, Dickfeld T. Image integration in electroanatomic mapping［J］. Herzschrittmacherther Elektrophysiol, 2007, 18(3):122-130.

［4］Kistler PM, Earley MJ, Harris S,et al. Validation ofthree-dimensional cardiac image integration: use of integrated CT image into electroanatomic mappingsystem to perform catheter ablation of atrial fibrillation［J］. Journal of Cardiovascular Electrophysiology,2006, 17:341-348.

［5］Coro L, Stabile G, Dello Russo A, et al. Image integration increases efficacy of paroxysmal atrial fibrillation catheterablation: results from the CartoMerge Italian Registry［J］. Europace,2009,11(8):1004-1010.

［6］Sra J, Ratnakumar S. Cardiac image registration of the left atrium and pulmonary veins［J］. Heart Rhythm,2008, 5(4): 609-617.

［7］Xu YW, Tang K, Ma J,et al. Circumferential pulmonary vein isolation guided by Carto-Merge and Lasso catheters for the treatment of atrial fibrillation［J］. Chin J Intervent Cardiol, 2007, 15(4): 194-197.

［8］Brooks AG,Wilson L, ChiaNH, et al. Accuracy and clinical outcomes of CT image integration with Carto-Sound compared to electro-anatomical mapping for atrial fibrillation ablation: a randomized controlled study［J］. Int J Cardiol, 2013, 168(3): 2774-2782.

［9］Romero J, Lupercio F, Goodman-Meza D,et al. Electroanatomic mapping systems (CARTO/EnSite NavX) vs. conventional mapping for ablation procedures in a training program［J］. J Interv Card Electrophysiol, 2016,45(1): 71-80.

［10］Cristoforetti A, Mase M, Faes L,et al. A stochastic approach for automatic registration and fusion of left atrial electroanatomic with 3D CT anatomical images［J］. Phys Med Biol, 2007,52(15): 6323-6337.

［11］Tavard F,Simon A, Leclercq C, et al. Data fusion of left ventricle electro-anatomical mapping and multislice computerized tomography ［C］// IEEE Int conf on Image Processing. Cairo, Egypt: IEEE,2 009:1745-1748.

［12］Yu RH, Dong JZ, Liu XP, et al. Image integration system to guide catheter ablation of atrial tachycardia with a multi-key-isthmus reentrant in a patient with a repaired atrial septal defect: a case repor［J］t. Chin Med J, 2008,121: 859-861.

［13］Fahmy TS,Mlcochova H, Wazni OM, et al. Intracardiac echo-guided image integration:optimizing strategies for registration［J］. Journal of Cardiovascular Electrophysiology, 2007,18:276-282.

［14］Zhong H, Lacomis JM, Schwartzman D. On the accuracy of Carto-MergeTM for guiding posterior leftatrial ablation in man［J］. Heart Rhythm, 2007, 4:595-602.

［15］Finlay MC，Hunter RJ，Baker V，et al. A randomised comparison of Cartomerge vs. NavX fusionin the catheter ablation of atrial fibrillation:The CAVERN Tria［J］. J Interv Card Electrophysiol, 2012, 33(2):161-169.

［16］Per Bergstrom, Ove Edlund. Robust registration of point sets using iteratively reweighted least squares［J］. Comput Optim Appl, 2014,58: 543-561.

［17］Arata LK, Dhawan AP. Iterative principal axes registration: a new algorithm for retrospective correlation of MR-PET brain images ［C］//Engineering in Medicine and Biology Society.Paris, France: IEEE, 1992:2776-2778.

［18］Besl PJ, Mckay HD. A method for registration of 3-D shapes［J］. IEEE Trans on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.

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