Software used in ct scan

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These metrology grade computed tomography systems establish maximum permissible error MPE values per VDI guaranteeing accuracies for critically toleranced components. We find these machines highly reliable and repeatable when compared with our other in house CMMs. Our metrology grade systems provide reliable technology that gives us accurate results.

What this means for our customer is incredible detail in dense or thick parts that was not possible before. VG Studio Max and its multiplicity of accessory modules are used to parse the voxel data better than other software. Because Volume Graphics has a single focus on CT analysis software development, they have generated an analysis package that is unbeaten by its competitors.

This has led to their unmistaken leadership in the market and the reason that we chose them as our CT scanning analysis software of choice. Since we only sell a service and are not trying to sell equipment or software, we have become very good at providing engineering services. Because we do not have a split focus, our work is precise, timely and impeccable.

We hire degreed engineers and train them in CT and each of the other technologies we employ. So each project that is performed for you has a depth of experience from degreed engineers performing the work. The majority of our customers are engineers. We find that an engineer talking directly to other engineers yields the best and most complete communication. Each of our staff has been individually trained by our NAS level 3 who had also worked for Volume Graphics as a trainer.

And as with all of our staff, our level 3 has been trained by others on the other technologies we employ. Each person in our team has the knowledge and experience to provide you a complete job. This will help maximize imaging performance for specific diagnostic tasks while minimizing radiation exposures. Constructing tools for researchers Cynthia McCollough, Mayo Clinic The goal of this work is to develop resources that enable the research community to easily create and compare new approaches to reducing radiation dose of routine CT scans without compromising diagnostic accuracy.

Using these assets, researchers have demonstrated that there is considerable potential for radiation dose reduction in CT exams of the abdomen, which are among the highest dose CT exams in common clinical use. Faster processing Jeffrey Fessler, University of Michigan To reduce radiation yet still produce good quality CT images, more sophisticated methods are needed to process the raw data from the CT system.

Those advanced methods, called image reconstruction algorithms, can require undesirably long computing times, so they can be used only for some patients currently. The goal of this project is to develop algorithms that are fast enough to allow low-dose CT imaging to be used for every patient.

An integrated approach Norbert Pelc, Stanford Medical School At every stage in the design of CT scanners, there are opportunities to make changes that reduce radiation dose. Because these changes are inter-related, the goal of this project is to take an integrated approach, exploring approaches such as modifying the photon counting detector the part of the CT scanner that detects x-rays , dynamic x-ray illumination adjusting the amount of radiation used throughout the duration of a scan , and image reconstruction methods.

These will be tested using a table top experimental system. The key idea behind SparseCT is to block most of the X-rays in a CT scan before they reach the patient, but to do so in a way that preserves all the essential image information. The approach combines a new x-ray blocking device with the mathematics of compressed sensing, which allows images to be reconstructed from reduced datasets.

Compression sensing can be likened to filming a movie with a very fast, but low-pixel camera and then using math to convert the image to high-definition quality. How does CT work? When would I get a CT scan? What is a CT contrast agent? Are there risks? What is a computed tomography CT scan? For instance, CT scans provide structural information, while PET scans provide metabolic information.

Using image fusion, both sets of information can be obtained through a single dataset. Studying changes over time: Image registration can be used to compare a series of images over time. This is useful to assess changes within the same imaging session, such as heart movements or respiratory function. It can also be applied to long-term changes, such as monitoring the progression of a disease over a few years. Characterizing anatomical features: Image registration can also compare images between different subjects in a population.

This can be used to characterize anatomical features in a given population. Interventional procedures: Computer-assisted surgery is made possible with image registration. By applying the pre-operative CT scan or MRI image to the intraoperative setting, image-guided surgery becomes possible.

Medical image visualization software changes the way that the original dataset can be viewed. This allows for analysis from different points of view. Visualization is essentially the process of exploring data, transforming it if needed, and then viewing it with greater depth and clarity in comparison with the original dataset.

There are several post-processing techniques that allow for medical image visualization. This allows operators to easily interpret abnormalities as there is better anatomical orientation compared to individual sections.

Greater detail can then be visualized with 2D visualization if required. It can be used to either display the original imaging data from 3D or 4D reconstructions, or it can be used to view different sections from the original dataset. An example of 2D visualization is multiplanar reformatting , which allows new sections to be made from 3D and 4D reconstructions, at planes that are different from the original planes. MPR finds application in the visualization of curvilinear structures, including the spinal canal and blood vessels.

Most kinds of 3D medical imaging software allow for MPR as well. The simultaneous increase in the number of patients undergoing diagnostic medical imaging and the quality of medical images being acquired, which means enormous data files, has led to massive volumes of datasets being handled by healthcare centers and hospitals.

The storage, retrieval and handling of this huge volume of imaging data can be a challenge in itself. Medical image management software makes this process easier by organizing and integrating such datasets.