A device for creating and displaying a 3D mesh plane from 2D tissue images.

Abstract

OCR09WP06 / 03 / 2569 How to create a multi-layered 3D mesh plane at various resolutions from a 2D image series. It begins by taking a series of cross-sectional images of tissue, material, or other layered images and performing layer separation. By first defining key points representing each layer, the system then calculates and fits the curves. The principal coordinates representing the tissue layers are generated using the cubic spline technique for each layer in each image. The system will then display the layers of tissue arranged in a 3D planar view from a series of 2D images. Create triangles to connect the lines and calculate perpendicular vectors to represent the surface. Texture patterns can be enhanced by calculating curves between main lines at a specific resolution. The final difference is to create a new set of triangles to connect the lines, along with calculating the perpendicular vectors. With more detailed data, the resolution of the 3D mesh surface image is increased. OCR09WP06 / 03 / 2569 How to create a multi-layered 3D mesh plane at various resolutions from a 2D image series. It begins by taking a series of cross-sectional images of tissue, material, or other layered images and performing layer separation. By first defining key points representing each layer, the system then calculates and fits the curves. The principal coordinates representing the tissue layers are generated using the cubic spline technique for each layer in each image. The system will then display the layers of tissue arranged in a 3D planar view from a series of 2D images. Create triangles to connect the lines and calculate perpendicular vectors to represent the surface. Texture patterns can be enhanced by calculating curves between main lines at a specific resolution. The final difference is to create a new set of triangles to connect the lines, along with calculating the perpendicular vectors. With more detailed data, the resolution of the 3D mesh surface image is increased.

Claims

OCR09WP06 / 03 / 25691. The method for creating and displaying a 3D mesh plane from 2D tissue images consists of the following steps: Image acquisition, which involves receiving more than one layered 2D tissue image; defining reference points for each image, specifying primary and secondary reference points; constructing curves using the reference points from each image; arranging the lines of each image; and creating triangular shapes to connect the lines between images, based on the line arrangement step. A specific characteristic is the creation of curves using the primary reference points of each tissue layer image. These curves are then arranged in sequence to create a 3D view, and perpendicular vectors are calculated between layers to connect the lines within each layer using triangular shapes with angles located at the secondary reference points of each layer. 2.

1. A method for creating and displaying a 3D lattice plane from 2D tissue images according to claim 1, where the principal reference coordinates are obtained from the coordinate determination process for each image representing each tissue layer, with 8-15 points per layer for each image.

3. A method for creating and displaying a 3D lattice plane from 2D tissue images according to claim 1, where the coordinate determination process for each image uses principal reference coordinates from user input for coordinate determination.

4. A method for creating and displaying a 3D lattice plane from 2D tissue images according to claim 1 or 2, where curves are created using the cubic spline method for each image.

5. A method for creating and displaying a 3D lattice plane from 2D tissue images according to any one of claims 1 to 3, which includes a process of arranging tissue image data according to the relationship of the cross-sectional positions. 6.The method for constructing and displaying a 3D reticulum plane from 2D tissue images as per Claim 1 includes procedures for receiving, connecting, and retrieving data from a computed tomography (CT) scanner, magnetic resonance imaging (MRI), or optical coherence tomography (OCT) machine.