介入装置形状の決定 - Koninklijke Philips N.V.

Title:

介入装置形状の決定

Document Type and Number:

Japanese Patent JP7421689

Kind Code:

B2

Abstract:

A computer-implemented method of providing a neural network for predicting a three-dimensional shape of an interventional device disposed within a vascular region, includes: training (S140) a neural network (140) to predict, from received X-ray image data (120) and received volumetric image data (110), a three-dimensional shape of the interventional device constrained by the vascular region (150). The training includes constraining the adjusting of parameters of the neural network such that the three-dimensional shape of the interventional device predicted by the neural network (150) fits within the three-dimensional shape of the vascular region represented by the received volumetric image data (110).

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Inventors:

Sinha Ayushi
Topolek Gujegoju Anjay
Flexman Molly Lara
Krukker Johen
Panse Ashish Sattayavrat

Application Number:

JP2023528482A

Publication Date:

January 24, 2024

Filing Date:

November 16, 2021

Export Citation:

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Assignee:

Koninklijke Philips N.V.

International Classes:

A61B6/03; A61B5/055; A61B6/00; A61B6/50; A61B8/14; G06T7/00; G06T7/50

Foreign References:

US20180279974
CN111798451A

Attorney, Agent or Firm:

Fueda Hidesen
Takahiro Igarashi
Yoshiyuki Yagabe

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