Catheter navigation support for mechanical thrombectomy guidance: 3D/2D multimodal catheter-based registration with no contrast dye fluoroscopy

被引:1
作者
de Turenne, Aurelien [1 ]
Eugene, Francois [1 ]
Blanc, Raphael [2 ]
Szewczyk, Jerome [3 ]
Haigron, Pascal [1 ]
机构
[1] Univ Rennes, CHU Rennes, INSERM, LTSI UMR 1099, Rennes, France
[2] Hop Fdn Ophtalmol Adolphe Rothschild, Dept Intervent Neuroradiol, F-75019 Paris, France
[3] Sorbonne Univ, Inst Syst Intelligents & Robot, F-75005 Paris, France
关键词
Catheterization; Guidance; Registration; Thrombectomy; Stroke; MOBILE C-ARM; ENDOVASCULAR TREATMENT;
D O I
10.1007/s11548-023-03034-6
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
PurposeThe fusion of pre-operative imaging and intra-operative fluoroscopy may support physicians during mechanical thrombectomy for catheter navigation from the aortic arch to carotids. Nevertheless, the aortic arch volume is too important for intra-operative contrast dye injection leading to a lack of common anatomical structure of interest that results in a challenging 3D/2D registration. The objective of this work is to propose a registration method between pre-operative 3D image and no contrast dye intra-operative fluoroscopy.MethodsThe registration method exploits successive 2D fluoroscopic images of the catheter navigating in the aortic arch. The similarity measure is defined as the normalized cross-correlation between a binary combination of catheter images and a pseudo-DRR resulting from the 2D binary projection of the pre-operative 3D image (MRA or CTA). The 3D/2D transformation is decomposed in out-plane and in-plane transformations to reduce computational complexity. The 3D/2D transformation is then obtained by maximizing the similarity measure through multiresolution exhaustive search.ResultsWe evaluated the registration performance through dice score and mean landmark error. We evaluated the influence of parameters setting, aortic arch type and 2D navigation sequence duration. Results on a physical phantom and data from a patient who underwent a mechanical thrombectomy showed good registration accuracy with a dice score higher than 92% and a mean landmark error lower than the quarter of a carotid diameter (8-10 mm).ConclusionA new registration method compatible with no contrast dye fluoroscopy has been proposed to guide the crossing from aortic arch to a carotid in mechanical thrombectomy. First evaluation showed the feasibility and accuracy of the method as well as its compatibility with clinical routine practice.
引用
收藏
页码:459 / 468
页数:10
相关论文
共 14 条
  • [1] Continuous roadmapping in liver TACE procedures using 2D-3D catheter-based registration
    Ambrosini, Pierre
    Ruijters, Daniel
    Niessen, Wiro J.
    Moelker, Adriaan
    van Walsum, Theo
    [J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2015, 10 (09) : 1357 - 1370
  • [2] EndoNaut two-dimensional fusion imaging with a mobile C-arm for endovascular treatment of occlusive peripheral arterial disease
    Caradu, Caroline
    Stenson, Katherine
    Houmaida, Hassan
    Le Ny, Julie
    Lalys, Florent
    Ducasse, Eric
    Gheysens, Benoit
    [J]. JOURNAL OF VASCULAR SURGERY, 2022, 75 (02) : 651 - +
  • [3] de Turenne A., 2022, MED IMAGING 2022 IMA, P56
  • [4] A versatile intensity-based 3D/2D rigid registration compatible with mobile C-arm for endovascular treatment of abdominal aortic aneurysm
    Dumenil, A.
    Kaladji, A.
    Castro, M.
    Goksu, C.
    Lucas, A.
    Haigron, P.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2016, 11 (09) : 1713 - 1729
  • [5] 3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks
    Fantazzini, Alice
    Esposito, Mario
    Finotello, Alice
    Auricchio, Ferdinando
    Pane, Bianca
    Basso, Curzio
    Spinella, Giovanni
    Conti, Michele
    [J]. CARDIOVASCULAR ENGINEERING AND TECHNOLOGY, 2020, 11 (05) : 576 - 586
  • [6] Fusion Image Guidance for Supra-Aortic Vessel Catheterization in Neurointerventions: A Feasibility Study
    Feddal, A.
    Escalard, S.
    Delvoye, F.
    Fahed, R.
    Desilles, J. P.
    Zuber, K.
    Redjem, H.
    Savatovsky, J. S.
    Ciccio, G.
    Smajda, S.
    Ben Maacha, M.
    Mazighi, M.
    Piotin, M.
    Blanc, R.
    [J]. AMERICAN JOURNAL OF NEURORADIOLOGY, 2020, 41 (09) : 1663 - 1669
  • [7] A short history of thrombectomy - Procedure and success analysis of different endovascular stroke treatment techniques
    Friedrich, B.
    Boeckh-Behrens, T.
    Kruessmann, V
    Moench, S.
    Kirschke, J.
    Kreiser, K.
    Berndt, M.
    Lehm, M.
    Wunderlich, S.
    Zimmer, C.
    Kaesmacher, J.
    Maegerlein, C.
    [J]. INTERVENTIONAL NEURORADIOLOGY, 2021, 27 (02) : 249 - 256
  • [8] Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U -nets
    Gherardini, Marta
    Mazomenos, Evangelos
    Menciassi, Arianna
    Stoyanov, Danail
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2020, 192
  • [9] Why we fail: mechanisms and co-factors of unsuccessful thrombectomy in acute ischemic stroke
    Heider, Dominik M.
    Simgen, Andreas
    Wagenpfeil, Gudrun
    Dietrich, Philipp
    Yilmaz, Umut
    Muehl-Benninghaus, Ruben
    Roumia, Safwan
    Fassbender, Klaus
    Reith, Wolfgang
    Kettner, Michael
    [J]. NEUROLOGICAL SCIENCES, 2020, 41 (06) : 1547 - 1555
  • [10] Heugen R, 2015, EUR HEART J, V36, P2483