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Continuous roadmapping in liver TACE procedures using 2D-3D catheter-based registration.

Ambrosini P, Ruijters D, Niessen WJ, Moelker A, van Walsum T - Int J Comput Assist Radiol Surg (2015)

Bottom Line: Subsequently, the catheter is registered to this vessel, and the 3DRA is visualized based on the registration results.The first selected vessel, ranked with the shape similarity metric, is used more than 39 % in the final registration and the second more than 21 %.The median of the closest corresponding points distance between 2D angiography vessels and projected 3D vessels is 4.7-5.4 mm when using the brute force optimizer and 5.2-6.6 mm when using the Powell optimizer.

View Article: PubMed Central - PubMed

Affiliation: Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands, p.ambrosini@erasmusmc.nl.

ABSTRACT

Purpose: Fusion of pre/perioperative images and intra-operative images may add relevant information during image-guided procedures. In abdominal procedures, respiratory motion changes the position of organs, and thus accurate image guidance requires a continuous update of the spatial alignment of the (pre/perioperative) information with the organ position during the intervention.

Methods: In this paper, we propose a method to register in real time perioperative 3D rotational angiography images (3DRA) to intra-operative single-plane 2D fluoroscopic images for improved guidance in TACE interventions. The method uses the shape of 3D vessels extracted from the 3DRA and the 2D catheter shape extracted from fluoroscopy. First, the appropriate 3D vessel is selected from the complete vascular tree using a shape similarity metric. Subsequently, the catheter is registered to this vessel, and the 3DRA is visualized based on the registration results. The method is evaluated on simulated data and clinical data.

Results: The first selected vessel, ranked with the shape similarity metric, is used more than 39 % in the final registration and the second more than 21 %. The median of the closest corresponding points distance between 2D angiography vessels and projected 3D vessels is 4.7-5.4 mm when using the brute force optimizer and 5.2-6.6 mm when using the Powell optimizer.

Conclusion: We present a catheter-based registration method to continuously fuse a 3DRA roadmap arterial tree onto 2D fluoroscopic images with an efficient shape similarity.

No MeSH data available.


Fluoroscopy with contrast agent (left) and DSA (right)
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Fig8: Fluoroscopy with contrast agent (left) and DSA (right)

Mentions: We retrospectively acquired anonymized data of 19 TACE interventions (Table 1). The 16 first sets were acquired in the Erasmus MC, University Medical Center, Rotterdam, the Netherlands, between 2012 and 2014 in two different intervention rooms with angiographic C-arm systems (Xper Allura, Philips Healthcare, Best, the Netherlands). The last three sets were acquired in the Hôpitaux Universitaires Henri Mondor, Créteil, Paris, France, and the Ospedale di Circolo e Fondazione Macchi, Varese, Italy. For each intervention, we have a set of images consisting of one 3DRA image where the catheter was inside the hepatic artery, a set of fluoroscopic sequences with contrast agent and a set of digital subtraction angiographies (DSA) (Fig. 8). In these sequences, both the catheter and a part of the vasculature distal to the catheter tip are visible (by using the contrast agent). For each sequence, we selected the image with most of the vasculature visible and we manually annotated both the 2D catheter centerline and the 2D vasculature centerlines. The 3D arterial tree from 3DRA is segmented with a semiautomatic method based on thresholding and skeletonization [24].Fig. 8


Continuous roadmapping in liver TACE procedures using 2D-3D catheter-based registration.

Ambrosini P, Ruijters D, Niessen WJ, Moelker A, van Walsum T - Int J Comput Assist Radiol Surg (2015)

Fluoroscopy with contrast agent (left) and DSA (right)
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4563001&req=5

Fig8: Fluoroscopy with contrast agent (left) and DSA (right)
Mentions: We retrospectively acquired anonymized data of 19 TACE interventions (Table 1). The 16 first sets were acquired in the Erasmus MC, University Medical Center, Rotterdam, the Netherlands, between 2012 and 2014 in two different intervention rooms with angiographic C-arm systems (Xper Allura, Philips Healthcare, Best, the Netherlands). The last three sets were acquired in the Hôpitaux Universitaires Henri Mondor, Créteil, Paris, France, and the Ospedale di Circolo e Fondazione Macchi, Varese, Italy. For each intervention, we have a set of images consisting of one 3DRA image where the catheter was inside the hepatic artery, a set of fluoroscopic sequences with contrast agent and a set of digital subtraction angiographies (DSA) (Fig. 8). In these sequences, both the catheter and a part of the vasculature distal to the catheter tip are visible (by using the contrast agent). For each sequence, we selected the image with most of the vasculature visible and we manually annotated both the 2D catheter centerline and the 2D vasculature centerlines. The 3D arterial tree from 3DRA is segmented with a semiautomatic method based on thresholding and skeletonization [24].Fig. 8

Bottom Line: Subsequently, the catheter is registered to this vessel, and the 3DRA is visualized based on the registration results.The first selected vessel, ranked with the shape similarity metric, is used more than 39 % in the final registration and the second more than 21 %.The median of the closest corresponding points distance between 2D angiography vessels and projected 3D vessels is 4.7-5.4 mm when using the brute force optimizer and 5.2-6.6 mm when using the Powell optimizer.

View Article: PubMed Central - PubMed

Affiliation: Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands, p.ambrosini@erasmusmc.nl.

ABSTRACT

Purpose: Fusion of pre/perioperative images and intra-operative images may add relevant information during image-guided procedures. In abdominal procedures, respiratory motion changes the position of organs, and thus accurate image guidance requires a continuous update of the spatial alignment of the (pre/perioperative) information with the organ position during the intervention.

Methods: In this paper, we propose a method to register in real time perioperative 3D rotational angiography images (3DRA) to intra-operative single-plane 2D fluoroscopic images for improved guidance in TACE interventions. The method uses the shape of 3D vessels extracted from the 3DRA and the 2D catheter shape extracted from fluoroscopy. First, the appropriate 3D vessel is selected from the complete vascular tree using a shape similarity metric. Subsequently, the catheter is registered to this vessel, and the 3DRA is visualized based on the registration results. The method is evaluated on simulated data and clinical data.

Results: The first selected vessel, ranked with the shape similarity metric, is used more than 39 % in the final registration and the second more than 21 %. The median of the closest corresponding points distance between 2D angiography vessels and projected 3D vessels is 4.7-5.4 mm when using the brute force optimizer and 5.2-6.6 mm when using the Powell optimizer.

Conclusion: We present a catheter-based registration method to continuously fuse a 3DRA roadmap arterial tree onto 2D fluoroscopic images with an efficient shape similarity.

No MeSH data available.