Title:
DEEP LEARNING-BASED MULTI-MODAL IMAGE REGISTRATION METHOD AND SYSTEM, AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2024/082441
Kind Code:
A1
Abstract:
A deep learning-based multi-modal image registration method and system, and a medium. The method comprises: acquiring three-dimensional images of different modalities, wherein the three-dimensional images comprise a reference image and a floating image; acquiring areas to be registered of the three-dimensional images, and detecting image feature points in an area to be registered of the reference image; obtaining image blocks according to the image feature points and inputting the image blocks into a similarity network to obtain a similarity graph in a corresponding range of the floating image; inputting the coordinates of the image feature points, the image blocks and the similarity graph into a displacement network to obtain a displacement vector, and performing interpolation on an area having no image feature point to obtain a displacement vector field; and performing spatial transformation on the floating image according to the displacement vector field.
Inventors:
LIU JIE (CN)
WANG TAO (CN)
GU LIXU (CN)
WANG TAO (CN)
GU LIXU (CN)
Application Number:
PCT/CN2022/142807
Publication Date:
April 25, 2024
Filing Date:
December 28, 2022
Export Citation:
Assignee:
SHANGHAI ACCUMED TECH CO LTD (CN)
ACCUMED TECH NANTONG CO LTD (CN)
SHANGHAI ROBOMED TECH CO LTD (CN)
ACCUMED TECH NANTONG CO LTD (CN)
SHANGHAI ROBOMED TECH CO LTD (CN)
International Classes:
G06T7/33; G06V10/46; G06V10/74
Attorney, Agent or Firm:
ADVANCE CHINA IP LAW OFFICE (HANGZHOU) (CN)
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