Two-dimensional and three-dimensional medical image registration method

Abstract

The invention provides a two-dimensional and three-dimensional medical image registration method, which can quickly carry out registration on an intra-operative two-dimensional X-ray image and a preoperative three-dimensional CT (Computed Tomography) image. The two-dimensional and three-dimensional medical image registration method comprises the following steps: carrying out filtering preprocessing on the three-dimensional CT image, projecting the three-dimensional CT image in two mutually-orthogonal plane systems to obtain two corresponding digitally reconstructed radiograph (DRR) sets according to a maximum intensity projection (MIP) algorithm; obtaining two two-dimensional X-ray images on another two orthogonal planes, and carrying out the filtering preprocessing on the two-dimensional X-ray image; carrying out traversal on the two DRR sets, and carrying out registration on the two DRR sets and another two orthogonal two-dimensional X-ray images so as to determine a corresponding most similar DRR as well as the in-plane position coordinate, the in-plane rotation angle and an out-of-plane rotation angle of the DRR; converting the coordinate and the angles to be under a three-dimensional CT image coordinate system to obtain six registration parameters. According to the method, the X-ray image and the CT image which is generated in advance can be subjected to accurate and quick real-time registration.

Description

technical field [0001] The invention relates to the technical field of medical imaging, in particular to a two-dimensional and three-dimensional medical image registration method. Background technique [0002] In order to realize Image Guided Therapy (IGRT), Image Guided Radiosurgery (IGRS) and Image Guided Minimally Invasive Therapy (IGMIT), the existing surgical lesion localization process mainly includes: Three-dimensional (Three Dimension, 3D) computed tomography (Computed Tomography, CT) was performed preoperatively; two-dimensional (Two-Dimension, 2D) X-ray images of the lesions were scanned in real time during the operation, and the The ray projection algorithm generates a 2D digitally reconstructed image (Digitally Reconstructed Radio-graphs, DRR), and the CT image and the X-ray image are registered by measuring the similarity between the DRR and the X-ray image, so as to obtain the lesion (X-ray image) currently in the CT. The accurate position and direction in the...

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Problems solved by technology

[0002] In order to realize Image Guided Therapy (IGRT), Image Guided Radiosurgery (IGRS) and Image Guided Minimally Invasive Therapy (IGMIT), the existing surgical lesion localization process mainly includes: Three-dimensional (Three Dimension, 3D) computed tomography (CT) imaging (Computed Tomography, CT) was performed before operation; two-dimensional (Two-Dimension, 2D) X-ray images of the lesion were scanned in real time during the operation, and CT images were obtained according to The ray projection algorithm generates 2D digitally reconstructed radio-graphs (Digitally Reconstructed Radio-graphs, DRR). By measuring the similarity between the DRR and the X-ray image, the CT image and the X-ray image are registered to obtain the lesion (X-ray image) currently in the CT image. Accurate position and direction in the image, and then guide the treatment in real time. This method needs to consume a long time to generate a large number of DRRs for registration when the registration accuracy is high, so it is difficult to achieve fast and accurate registration between CT and X-ray. Accurate, so that CT images can not quickly and accurately guide the treatment

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