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Rheumatoid Bone Measurement
Bone fine structure measurement related bone quality
It extracts and measures fine structure of bone eroded surface
of rheumatism, hyperostosis, and diseased part of bone. It
measures quantitative indexs including surface area, volume,
and distribution of these.
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Rat tarsal, medicated after development of adjuvant arthritis.
The red color indicates eroded surface of bone. |
extracted object
Image of separated bone
4 color-coded image for Cap,Ev,Es,Tissue
Image of separated bone |
Rheumatoid Bone Measurement
Measuring an Eroded Surface
t extracts remain bone, repair bone, ErodedSurface and for each label, measure volume and surface area, display the image, and the depth of ErodedVolume.
Measuring the Callus
It extracts remain bone, repair bone, callus, and proprietary volume of callus for each label, and measure those volumes.
Using BMD image allows program to convert BMD value into threshold
while extracting the callus, and then measure the bone mineral
density (BMD) of bone and callus.
Measuring the Thickness of Cortical bone
It directly measures the thickness of cortical bone and finds out its distribution. |
Volume Spacing Alignment and
Difference Measurement
Based on section views, align a base image to a work image, the result is 3D displayed.
The methods are either Alignment of selecting marked points or Detailed Auto Alignment. After alignment, the measurement results of increase or decreased part as mean density and volume or so on, can be ouput. In addition, it can output the volume of all the spaces and measure the volume ratio of increasing or decreasing parts.
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Red: before Green : after |
Changes over time using a same area of interest
BMD (mg/cm3) Bone Volume(mm3)
Before After Before After |
Auto Alignment
Choosing ‘Base’ or ‘Work’ at ‘Volume Select Button’, click a point which you would like to assign it as a marked point on the screen. A cross mark and a number will be displayed on the screen(Base is read, work is yellow), the number is added on the list of marked points.
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Bone Mineral Density Measurement for micro-CT
Since it can seperate bone marrow, trabecular bone, and cortical bone using high resolution micro-CT images, BMD of real trabecular bone, which is excluded bone marrow, and cortical bone can be measured. BMD is expressed as 3D images in pseud colors. The distribution of bone density on each part can be seen easily.
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BMD Image
Small BMD Scale Large
Phantom: for adjusting micro-CT.
Building 7 kinds of 6mm x H1mm phantoms as a circular cylinder.
800mg/cm3 ～200mg/cm3 from outer part of the case. |
Main Features
★Drawing Analytical Curve
Drawing analytical curve of CT and BMD values by using phantom which BMD is already known.
  PhantomTrabecular bone, and cortical bone using high resolution
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★ Extraction of BMD measurement regions. Measurement regions can be separated by pseudo colors.
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Measuring items
Measuring BMD value & Bone mineral amount on each region
Bone Density [mg/cm3] : Bone Density of label [mg/cm3]
Volume [cm3] : Total Volume of label [cm3]
Bone Mineral [mg] : Bone Mineral Amount of label [mg]
Bone Density Min : Minimum Bone Density of label
Bone Density Max : Maximum Bone Density of label
Standard Deviation : Standard Deviation of Bone Density
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3D
Trabecular Bone Structure Analysis
Directly
analyze and quantifies 3D structure of trabecular bone based on sectional
images of bone obtained by a micro X-rays CT.
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Main
features
Trabecular bone network structure analysis
Extract the skeletal line of the trabecular structure of cancellous bone,
to measure the trabecular structure.
Trabecular
structure and anisotropy analyses
Measure directly the width of bone in all 3D direction to calculate the
direction of trabecular bone growth, and the direction dependency of load.
Cortical
bone analysis, width of cortical bone, and lumen volume etc.
Separation
of cancellous and cortical bone |
Separates
and extracts the bone tissue by three-dimensional image processing. Regions
that you cannot automatically separate can be seperated by means of 3D interpolation
method.
System requirements
OS : WindowsXP/2000
Memory : 2GB or more
CPU : Pentium4 or higher |
Stress
Analysis
By
using the whole figure of living body for 3D reconstructing, stress analysis
and simulation of living body movement become possible. The figure is
an analysis result of the compression stress caused by two direction load
to the trabecular bone. The bright spots indicate the concentration of
the stress. An analytical result can be expressed by a 3D movie that enables
you to figure out the 3D movement intuitively, which is not easily grasped
by the value and graph. |
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Main features
Volume
size : 100x100x100 or more
Automatic voxel mesh generation
Main purposes
Three
points bending test
Compression test
Tensile test
Twist test |
Output Items
s1
Length of stress tensor quadric principal axis
s2
Length of stress tensor quadric second axis
s3
Length of stress tensor quadric minor axis
toct
Shear stress
D Element
displacement absolute value
Node displacement, rotation angle, node reactive force, contra-movement,
element stress (six components), element strain(six components)
 
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Serial Section Reconstruction
Reconstruct
3D natural-colored internal organs, tissues, cells and blood vessels from
serial sections of specimen for naked eye or by a microscopy or TEM.
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Main features
Align
serial sections which were not aligned when created.
Make cross cut images axially
to the way where the tissue expands along.
When automatic extraction is
difficult, extract a tissue using outline interpolation by tracing outline
in every several pieces.
Cut out only an extracted tissue
from original images.
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Various
display of 3D image
 Natural-colored
3D display with original color.
Mean Intensity projection display
3D display of tissue outline.
Real-time
cutting display of a tissue from arbitary direction.
Rotation, cuttting and section
movie display.
Input Images
File
format : BMP, JPG, TIF
File Name : Text followed by consecutive triple digit number.
File size : A series of section images with the same size (X,Y)
The number of files: No limit
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Cerebral Cortex Measurement by MRI image
Extract
the cerebral cortex from MRI images and measure the width of gray matter.
Qantify three dimensionally the volume, surface area and the average width
of white and gray matter, at a specified part of a brain.
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Various
extraction and image processing functions
 Automatically
extract object area such as white and gray matter and eliminate noises by
various 3D filtering functions.
Extract
and separate an object by binary image processing
Select
particles using 3D image processing functions
Extract specific objects and display them in different colors by editing original
images using mask functions. |
Various display of 3D image
Tranlucent display in the depth direction Projective display using mean
intensity Projective display using maximum intensity
Display 3D composite image of cerebral cortex
and white and gray matter using channels up to 6
3D images having gray matter width with pseudo-color to figure out thickness
distribution in a brain
at a glance
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High-speed 4D Viewer
Visualize
4D image at a high speed from time series volume images by a CLSM,
Suitable for analysis
of growth of cultured cell and behavior of biomolecule in a cell analysis.
System
requirements
OS
: WindowsXP/2000
Memory : 2GB or more
CPU : Pentium4 or higher
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Main features
List
view and movie of time series of 3D images.
Observe time series movie with a rotating 3D object.
Observe tiime series movie with a 3D object being cut in an arbitrary direction.
Display volume images - Simultanous display channels up to 6. Cross section display using x, y, z-directions. Cross section image cut by free line.
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Main measurement items
Time series variation of 3D particle volume.
Time
series variation of 3D particle intensity.
Time series variation of intensity at the specified point.
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High-speed
3D Analysis
Create
3D data from section image files by
a CT, MRI, or CLSM, to perform the following functions at high-speed.
Various 3D view displays and movies, cross section display, 3D measurements. |
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Main features
Handle multi-channel data.
Co-localization function by calculating among channels.
Particle extraction by 3D image processing.
Combining several volume data. Tranlucent display.
Measure the 3D features of an object. Voxel density distribution histogram..
Measure length on the surface of an extracted object.
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System requirements
OS
: WindowsXP/2000
Memory : 1GB (2GB recommended)
CPU
: Pentium4 or higher |
3D Reconstruction Software of tissue section image
This system reconstructs 3D structure objects from preparation serial section images.
Not only auto extracting outline function, with manual tracing function of various operational function, it really works well when it is hard to extract objects with only shading or color information. It is possible to input in various cross section images as TV camera, files, digital camera and so on. |
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Main features
No limit of number for input section or inputting objects.
Possible to insert sections after input, add and delete data, and adjust alignment.
Possible to display a real 3D objects which is representing the actual condition, and set up color or tansmission factor.
Various 3D feature amount measuring items to quantify morphometry.
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Operating Environment
OS
: WindowsXP/2000
Memory: 128MB or higher
CPU
: Pentium4 or higher |
