Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

3D printing slicing method for implicit expression medical model

A 3D printing and medical technology, applied in medical images, 3D modeling, medical informatics, etc., can solve problems such as excessive memory and time overhead, and achieve the effect of simplifying computing overhead, reducing consumables, and facilitating control of results

Active Publication Date: 2019-12-03
XIAMEN UNIV
View PDF15 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] There are two key issues in the 3D printing of discrete medical volume data: one is to remove the constraints of the STL file, that is, there is no need to use the traditional MC (Marching Cube) willing method to construct triangle slices, so as to avoid excessive memory and time overhead ; The second is to remove the constraints of the geometric model that can be represented by a continuous function. On the premise of using the original discrete medical data model as a resource, the printed sequence is directly calculated to generate the Gcode for controlling the 3D printer

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 3D printing slicing method for implicit expression medical model
  • 3D printing slicing method for implicit expression medical model
  • 3D printing slicing method for implicit expression medical model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The following embodiments will further illustrate the present invention in conjunction with the accompanying drawings.

[0035] Embodiments of the present invention mainly include the following three parts:

[0036] 1. Contour extraction of implicitly expressed medical models

[0037] Medical volume data implicitly expresses the corresponding organ models, but these volume data models are discrete and have no explicit mathematical functions to represent them. Therefore, the 3D printing engine technology based on continuous F-Rep proposed by Song et al. is not suitable for Discrete medical volume data. Aiming at the characteristics of discrete medical volume data, the invention provides a contour line extraction algorithm based on division and modeling recombination.

[0038] First, each "unit voxel" is divided into sub-eight divisions. If you directly search for eligible voxels, O(n 3 ) violent traversal is a huge overhead for tens of thousands of voxels. If it is a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a 3D printing slicing method for an implicit expression medical model, and relates to computer graphics and 3D printing. The method comprises the following steps of searching the volume data to obtain solid volume elements meeting conditions; dividing a single voxel into a series of sub eight partitions, and performing recursive operation; integrating all the eight partitions to project the specific height, and obtaining three-dimensional linear interpolation of each point at the corresponding layer height; matching each square vertex with a standard stepping square mode, and storing sampling points; acquiring a plurality of adjacent sampling points and retracting, and calculating a retracting distance; obtaining all sampling points and adjacent points of the sampling points, and constructing a complete inner layer contour; checking whether the current sampling point has an error; removing known self-intersection points, and optimizing the shape of an inner-layer contour; retracting inwards to increase a virtual layer; constructing a parallel scanning line field, and calculating intersection point coordinates of the scanning line field and the virtual layer;adopting labyrinth filling for alternate wiring to achieve internal filling . The method reduces consumables, time and space expenses..

Description

technical field [0001] The present invention relates to computer graphics and 3D printing, in particular to a 3D printing slicing method for implicitly expressed medical models. Background technique [0002] In recent years, with the development of science and technology, computer-aided diagnosis technology has continued to improve. Using imaging and other means, and with the help of virtual reality and computer graphics, computer graphics can be used to discover diseases, perform pre-operative planning, virtual simulation, etc. Surgical guidance and postoperative evaluation can improve the success rate of surgery. At the same time, in order to better process the model, especially the application of 3D printing technology in the medical field has very broad application prospects. [0003] The traditional 3D printing method uses a GCode generation algorithm based on the STL (STereo Lithography) format. This solution has the widest popularity and is a relatively easy-to-unde...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G16H30/40G16H50/20B29C64/386B33Y50/00
CPCB33Y50/00B29C64/386G06T17/00G16H30/40G16H50/20
Inventor 洪清启江子攸方俊许霏
Owner XIAMEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products