RATOC_3Dmedical_Image

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.

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.

Changes over time using a same area of interest

It measures bone mineral density(BMD) usingm-ct images of the phantom.

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.

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.

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.

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.

Various display of 3D image

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.

Various extraction and image processing functions

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.

Main measurement items

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.

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.

Operating Environment

OS : WindowsXP/2000

Memory: 128MB or higher

CPU : Pentium4 or higher

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.	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.	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.
Bone Mimeral Measurement It measures bone mineral density(BMD) usingm-ct images of the phantom. 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. Phantom Form : Building as a circular cylinder 6mmFX H1mm	From outer part of the cases, 800mg/cm3 ～ 200mg/cm3	Measuring Sample The figure (a) and (b) are the BMD images of mouse Sham and OVX. Using the 90 KV analytical curve as CT value, the images were made from BMD value regard as pixel value. The figure (c) and (d) are the color-coded images of mouse measuring regions for measuring BMD. (a) (c) (b) (d)	Measuring items Measures the BMD value and BMD on every region. Average CT : CT value average Bone Density [mg/cm3] : mg/cm3 of label Volume [cm3] : Total Volume of label [cm3] Bone Mineral [mg] : Bone Mineral of label [mg] Bone Density Min : Bone Density Minimum of label Bone Density Max : Bone Density Maximum of label Standard Deviation : Standard Deviation
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.		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.		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)
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.		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.	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
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.		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
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		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.	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.
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.		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.	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.		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.	Operating Environment OS : WindowsXP/2000 Memory: 128MB or higher CPU : Pentium4 or higher