Created as a professional supportive instrument for medical personnel. Customy Vision offers a handful of intuitive tools from segmentation of CT scans, their visualization, registration of existing models to surgery planning and other features.
Customy Vision is certified as software as a medical device supporting diagnostics by TÜV Rheinland LGA Products GmbH, a notified body according to Regulation (EU) 2017/745 concerning medical devices.
Created as a professional supportive instrument for medical personnel. Customy Vision offers a handful of intuitive tools from segmentation of CT scans, their visualization, registration of existing models to surgery planning and other features.
Smart Segmentation simplifies the process of converting tomography scans (DICOM) into 3D surface models. In most cases, it only takes a few mouse movements to get a 3D model ready for 3D printing.
The use of surface and volumetric rendering makes it much easier to understand and interpret tomographic images.
Volumetric rendering allows you to quickly look into a given patient’s anatomy and assign independent colour properties and opacity to various tissues.
By placing independently taken CT / MRI images in a common frame of reference, the user can compare and integrate them. Registration is a valuable tool for analyzing, understanding and visualizing images in both medical and scientific applications.
Customy Vision offers registration of both tomographic images (eg CT, MRI) as well as objects in the form of surface meshes.
The operation planning module allows you to make cuts on 3D objects and perform three-dimensional transformations. This is especially important when planning an osteotomy or reconstructive surgery. The planning module also allows you to measure distances and angles on 2D sections and 3D objects.
In today’s world, it is crucial to eliminate sensitive information from medical data. Dicom Anonymization is an effortless way to keep your patient and his study private. With less than few steps, the DICOM image series can be cleared from its labels.
A way from CT scan to mesh model starts with highlighting anatomical structures. Basic Segmentation is a tool designed to obtain segmentation masks. By using thresholding, automatic histogram analysis or Point&Grow methods, the user can create one, that fits his needs. As a result, anatomical structures can be easily distinguished from each other.
There are cases, where volume quality is far from acceptable or there is no other option to get it good. Artefacts, noises, blurs – all of that can be reduced by Volume Filtering. Thanks to this tool, even bad quality volume may be used. That dismisses the necessity to acquire a new volume and expose the patient to another dose of radiation.
Segmentation mask filtering may come in handy when the created mask has some errors or noises caused by artefacts registered in the CT study. The mask can be morphed, smoothed, denoised or undergo Boolean operations with another mask.
A mesh model is often a raw representation. With the use of Surface Modelling, their structure is edited, modified and repaired. When needed, models can be paired together or subtracted, even their common parts can be shown. All this changes a blocky mesh to a post-processed model, which is an anatomical representation.
For ongoing therapies, where for example cancer growth must be controlled, it is recommended to use Volume Registration. There, the user combines two volumes and match them for the best possible fit. In the end, it is easier to spot a difference in size obtained over time, especially by exporting a mask from one volume to another.
DICOM Anonymization
In today’s world, it is crucial to eliminate sensitive information from medical data. Dicom Anonymization is an effortless way to keep your patient and his study private. With less than few steps, the DICOM image series can be cleared from its labels.
Basic Segmentation
A way from CT scan to mesh model starts with highlighting anatomical structures. Basic Segmentation is a tool designed to obtain segmentation masks. By using thresholding, automatic histogram analysis or Point&Grow methods, the user can create one, that fits his needs. As a result, anatomical structures can be easily distinguished from each other.
Volumes Filtering
There are cases, where volume quality is far from acceptable or there is no other option to get it good. Artefacts, noises, blurs – all of that can be reduced by Volume Filtering. Thanks to this tool, even bad quality volume may be used. That dismisses the necessity to acquire a new volume and expose the patient to another dose of radiation.
Segmentation Masks Filtering
Segmentation mask filtering may come in handy when the created mask has some errors or noises caused by artefacts registered in the CT study. The mask can be morphed, smoothed, denoised or undergo Boolean operations with another mask.
Surface Modeling
A mesh model is often a raw representation. With the use of Surface Modelling, their structure is edited, modified and repaired. When needed, models can be paired together or subtracted, even their common parts can be shown. All this changes a blocky mesh to a post-processed model, which is an anatomical representation.
Volume Registation
For ongoing therapies, where for example cancer growth must be controlled, it is recommended to use Volume Registration. There, the user combines two volumes and match them for the best possible fit. In the end, it is easier to spot a difference in size obtained over time, especially by exporting a mask from one volume to another.
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