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  • Micro CT Software | Matsusada Precision
  • Micro CT Software | Matsusada Precision

Industrial Micro CT Software

Express 3D Voxel Data

Inquiry

The software for CT scanners comes with advanced image processing and analysis functions to generate High-resolution 3D images.

Benefits of X-ray CT system

  • Observation from multiple directions
  • Non-contact measurement
  • Distance measurement
  • Volume measurent
  • Rendering object properties
  • Utilized for reverse engineering
  • Contributing to product development
    (speedy visualization of defects)
Computed tomography basics | Matsusada Precision

Computed Tomography Basics

Computed Tomography (CT) is an advanced non-destructive testing (NDT) technology that utilizes computer processing to generate precise cross-sectional images of an object from a series of 2D X-ray projections. During an industrial CT scan (also known as micro-CT), the object is precisely rotated while hundreds or thousands of 2D X-ray images are acquired from various angles.
This type of imaging is called a cone-beam CT scan. Sophisticated reconstruction software then processes this series of projection images to generate a stack of cross-sectional slices (tomographic images). By compiling these slices, a complete three-dimensional (3D) volume model, composed of volumetric pixels (voxels), is created.

Normal scan vs Offset scan

In cone-beam CT normal scan, if the width of the vision image of the sample is larger than the width of the X-ray camera, you need to shoot the sample repeatedly to obtain the tomographs. The offset scan technique overcomes this limitation. By shifting the detector horizontally relative to the center of rotation, it's possible to scan objects up to nearly twice the width of the detector in a single rotation, significantly expanding the effective scanning volume and improving workflow efficiency.

Maximum Normal Scan Area
Maximum imaging area for normal scan | Matsusada Precision
Maximum Offset Scan Area
Maximum imaging area for offset scan | Matsusada Precision

Models

Function -CTN -CTDa -CTM -CTDaX
Scan mode Normal scan
Half scan
Offset scan
Reconstruction Noise suppresion
Metal artifact reduction - -
Beam hardening reduction - -
Ring artifact reduction - -
Simple analysis 2D 2D cross-section surface display
MPR image display
3D 3D tomographic image -
Volume rendering -
Measurement Dimension (distance) measurement
Angle measurement - -
2D/3D internal diameter measurement - -
3D fitting - -
3D particle analysis - -
3D drawing - -
Saving in DICOM format - -
3D CT Image
analysis software
ROI visualization Visualization -
Creating and editing of ROI - -
Volume/Surface area measurement - -
Standard functions Gray-scale value analysis - - -
Data quality analysis - - -
Arbitrary object separation - - -
Import STL -
Point cloud - - -
CT scan image -
VGL -
VGARCHIVE - -
MVGL - -
STEP/IGES (standard function) - - -
Integrated mesh - - -
Export Saved images
2D tomograhic movie -
Analysis report - -
Images (of raw, ImageStack, etc.) - -
Q-DAS file - -
CAD (.stp) 3D movie - - -
3D movie -
Convert and Export STL conversion - - -
Surface mesh (STL) conversion - - -
Volume mesh (tetrahedron) - - -
Reverse engineering (CAD conversion) - - -
Others CAE collaboration - - -
Merging filters/
images
Advanced image merging - - -
Gauss/Application gauss - - -
Median - - -
FIB/SEM correction - - -

*precision CT9600 has the -CTDa feature as standard, and selectable -CTDaX as an option.

RECONSTRUCTION

The image reconstruction process involves a computer generating cross-sectional images from the projection data collected by the CT scanner. This results in false and unwanted features in the image, called artifacts, which can be mitigated by software options.

Ring Artifact Reduction

Ring artifact reduction reduces concentric ring noise that occurs in tomographic images through a filtering process.

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX
Before processing | Matsusada Precision After processing | Matsusada Precision

Advanced Metal Artifact Reduction

This powerful function significantly reduces streak and flare artifacts caused by high-density materials. It provides cleaner, more reliable data for accurate structural analysis and internal inspection, even on complex multi-material assemblies.

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX
Before processing | Matsusada Precision After processing | Matsusada Precision

2D IMAGE

example of a capacitor (size approximately 0.24inches (6 mm) in diameter, 0.39inches (10 mm) in height | Matsusada Precision

Here is an observation example of a capacitor (size approximately 0.24 inches (6 mm) in diameter, 0.39 inches (10 mm) in height.

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX

Arbitrary Tomographic Images

Ring artifact reduction reduces concentric ring noise that occurs in tomographic images through a filtering process.

Arbitrary tomographic images | Matsusada Precision

Multi Planar Reconstructions (MPR)

Displays tomographic images of the 3D volume data from three directions.

Multi Planar Reconstructions (MPR) | Matsusada Precision

3D IMAGE

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX

3D Arbitrary Tomographic Images

Visualizes volume-rendered 3D tomographic images.

3D arbitrary tomographic images | Matsusada Precision

Volume Rendering

Displays images that are generated from voxel data with all XYZ information. By changing the viewpoint, images from all directions can be displayed.

Volume rendering | Matsusada Precision

ANALYSIS FUNCTION

Dimension Measurement

Measures dimensions between specified points on a 2D image. The measurement results are reflected in a 3D image. (-CTN option is only 2D images.)

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX
Dimension measurement | Matsusada Precision
2D image
Dimension measurement | Matsusada Precision
3D image

Shortest Distance Measurement

Measures the shortest (or longest) distance on a 2D image. The distance is automatically measured by mouse dragging, and the dimensions display the dimensions of the shortest and longest parts. The measurement results are reflected in a 3D image.

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX
Shortest distance measurement (2D image) | Matsusada Precision
2D image
Shortest distance measurement (3D image) | Matsusada Precision
3D image

Volume/Surface Area Measurement

Measures the volume or surface area of a read 3D image.

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX
寸法測定 | Matsusada Precision

Arbitrary Object Separation

Arbitrarily extracts some part of an image to color or separate it.

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX
Arbitrary object separation | Matsusada Precision

CAD Data Export

CAD data can be output in the STL file format, which represents the surface geometry of a 3D model as triangular polygons.

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX
CAD data output | Matsusada Precision

Additional Analytical Functions (*-CTDax option required)

  • -CTN
  • -CTDa
  • -CTM
  • -CTDaX
Reconstruction and quality analysis of image data
  • CT reconstruction
  • Quality analysis of image data (ASTM E1441/ASTM E1695)
Surface determination
  • Iso50 surface determination
  • Integrated surface definition (local application)
  • Multi-material surface definition (local adaptation)
  • Use of CAD, mesh, and ROI as starting outlines
  • CT volume to surface mesh conversion
CAD import
  • CAD import (STEP, IGES)
  • CAD import (native format)
  • CAD import (native format) with PMI
GD&T
  • Registration
  • Nominal/Actual comparison
  • Geometric dimensioning and tolerancing (GD&T)
  • Copy and paste GD&T measurement plan
  • Wall thickness analysis
Reverse engineering
  • Geometry correctio
  • Reverse engineering
Material analysis
  • Defect analysis (3D acc. to BDG P 203)
  • Defect analysis (2D acc. to BDG P 202)
  • Inclusion analysis
  • Fiber orientation analysis
  • Foam/Powder analysis
  • Volume correlation
Volume mesh and simulation
  • Volume mesh
  • Mechanical simulation
  • Simulation of migration phenomena

Geometric Dimensioning and Tolerancing (GD&T)

Using 3D display analysis data, you can check areas of sample structure, foreign matters, or shrinkage cavities in molding that cannot be measured by contact-type instruments. In addition, the function visualizes deviations and defect locations, facilitating sample inspection. It is suited for mold designs and inspections of shrinkage cavities in casting.

Nominal/Actual Comparison (Part-to-CAD)

Directly compare your scanned data (as-built) against the original CAD model (as-designed). This generates an intuitive, color-coded deviation map, instantly highlighting any manufacturing errors or warping with precision. Different colors can identify deviations.

CAD data | Matsusada Precision
CAD data
Comparison of design values and actual measured values | Matsusada Precision
Comparison of design values and actual measured values

Wall thickness analysis

Visualization of wall thickness analysis using CAD data and CT data is available. It is also available for errors in design values. The errors can be identified by color.

Wall thickness analysis | Matsusada Precision

Wall thickness analysis (2D-display)

Three-dimensional images are used for the wall thickness measurement.

Wall thickness analysis (2D-display) | Matsusada Precision

Material Analysis

Automated Defect & Porosity Analysis

Automatically detect, locate, and quantify the size, volume, and distribution of internal defects such as pores, voids, and inclusions. This is crucial for quality assurance in castings, additive manufacturing (AM), and composite materials. It can also calculate the percentage of defects to the sample volume. It is available in the following categories.

  • Scale (circumscribed sphere)/Volume
  • Surface area
  • Position XYZ
  • Self - Sphericity
  • Spacing (distance between defects)
  • Projected size XYZ
3D display of X-ray images | Matsusada Precision
3D display of X-ray images
Defect analysis | Matsusada Precision
Defect analysis

Datasheets

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Product Lineup:
X-ray Inspection Systems