Registration between 2D and 3D Ultrasound Images to Track Liver Blood Vessel Movement.

Three-dimensional ultrasound image body motion gradient descend method hepatic artery multiple image resolutions ultrasound images

Journal

Current medical imaging
ISSN: 1573-4056
Titre abrégé: Curr Med Imaging
Pays: United Arab Emirates
ID NLM: 101762461

Informations de publication

Date de publication:
2023
Historique:
received: 06 04 2022
revised: 17 07 2022
accepted: 08 08 2022
medline: 7 6 2023
pubmed: 21 9 2022
entrez: 20 9 2022
Statut: ppublish

Résumé

For the accurate positioning of surgical tools, conventional intraoperative navigation systems have been developed to recognize the relationship between target positions and the tools. However, since an internal organ is deformed during the operation, registration between realtime two-dimensional (2D) ultrasound images and three-dimensional (3D) CT or MRI images is not always effective. Therefore, this study developed image registration between 2D and 3D ultrasound images considering deformation for tracking target vessel movement in the liver. 3D ultrasound image was obtained in advance with 3D coordinates, including the target vessel. Then real-time 2D images and ultrasound probe position were simultaneously acquired using a 3D position sensor. We applied multiple image resolution registration, where rapid and fine optimizations can be expected at higher and lower levels, respectively. Meanwhile, the gradient descent method was adopted for the optimization, which determines the relative arrangements to obtain maximum similarity between 2D and 3D images. We experimentally established resolution level parameters using a phantom before applying it to track liver blood vessel movements in a normal healthy subject. Comparing the 2D images and the registered images, although the approach has some limitations in tracking large displacement, we confirmed that the cross-section of the target blood vessel was clearly visualized. This method has the potential for an ultrasound therapy targeting blood vessels under natural respiration conditions.

Sections du résumé

BACKGROUND
For the accurate positioning of surgical tools, conventional intraoperative navigation systems have been developed to recognize the relationship between target positions and the tools. However, since an internal organ is deformed during the operation, registration between realtime two-dimensional (2D) ultrasound images and three-dimensional (3D) CT or MRI images is not always effective. Therefore, this study developed image registration between 2D and 3D ultrasound images considering deformation for tracking target vessel movement in the liver.
METHODS
3D ultrasound image was obtained in advance with 3D coordinates, including the target vessel. Then real-time 2D images and ultrasound probe position were simultaneously acquired using a 3D position sensor. We applied multiple image resolution registration, where rapid and fine optimizations can be expected at higher and lower levels, respectively. Meanwhile, the gradient descent method was adopted for the optimization, which determines the relative arrangements to obtain maximum similarity between 2D and 3D images. We experimentally established resolution level parameters using a phantom before applying it to track liver blood vessel movements in a normal healthy subject.
RESULTS
Comparing the 2D images and the registered images, although the approach has some limitations in tracking large displacement, we confirmed that the cross-section of the target blood vessel was clearly visualized.
CONCLUSION
This method has the potential for an ultrasound therapy targeting blood vessels under natural respiration conditions.

Identifiants

pubmed: 36125821
pii: CMIR-EPUB-126435
doi: 10.2174/1573405618666220920114813
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1133-1143

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Kohji Masuda (K)

Department of Biomedical Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan.

Taichi Shimizu (T)

Graduate School of BASE, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan.

Takumi Nakazawa (T)

Graduate School of BASE, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan.

Yoshihiro Edamoto (Y)

Department of Gastrointestinal Surgery, Secomedic Hospital, Funabashi, Chiba 274-0053, Japan.

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