The technological advancements that have taken place within the clinical setting have changed the face of the entire healthcare industry. The extensive use of devices like medical grade computers has transformed the way patients and physicians treat a variety of illnesses. Healthcare administrators who are keen on purchasing a device that can be used within the clinical setting need to be aware of a few key features. Not every computer that is available on the market can be used within the hospital environment. Medical practitioners must use devices that are equipped with the technology necessary to perform critical patient diagnostics. The only computer that is capable of providing an accurate summation of a patient’s condition is one that comes with 3d imaging features.  The use of advanced technology that can process medical imaging requirements with efficiency and haste will enable patient care practices to become more responsive and immediate.

Medical Imaging

What is medical imaging all about and how important is it for contemporary healthcare practices? Essentially, medical imaging technology allows healthcare professionals to create a visual representation of the interior areas of a patient’s body. The images that are produced are used for the purpose of medical analysis. Medical imaging can have a preventive function as well. Potentially debilitating diseases can be identified during their earlier stages of development and a treatment plan can be crafted to eradicate illnesses before they’re given the chance to compromise a patient’s quality of life. The use of the most sophisticated technology in medical imaging exponentially increases the ability of a physician to diagnose and treat diseases.

Risks and Advantages

It is important for the healthcare industry as a whole to adopt advanced medical imaging techniques to deliver results as quickly as possible. For critical patient cases, the use of this technology can save lives. While there are concerns associated with the use of medical imaging technology, the advantages outweigh them by a major margin. Studies have shown that medical imaging technology can expose patients to radiation. While the extensive exposure to radiation, a necessity when it comes to certain tests and diagnostics, may pose a certain amount of risk for patients, the alternative is doubly compromising. Delays in medical diagnostics will result in a gross expenditure of time and for critical patient cases, time is a resource that cannot be squandered. The longer the delays get when it comes to diagnosing critical health conditions, the lower the patient’s chances become when it comes to treating the disease effectively. The use medical imaging technology saves lives and eases patient concerns.  General healthcare practices drastically improve as a result of the use of 3d medical imaging.

Graphic Processing Units: The Future of Medical Imaging

The question remains: which specific feature do healthcare administrators need to look for when it comes to medical imaging technology? For healthcare practitioners to process medical imaging tasks efficiently, the tools that they use should be equipped with graphic processing units. In the past, GPUs were solely restricted to the task of rendering rich 3D video game graphics. Several manufacturers have integrated the use of GPUs into medical imaging technology and it has drastically improved the way images are processed and generated.

The Power of Parallel Processing

Some of the major tasks associated with medical imaging technology are ultrasound imaging, CT scans, MRI scans, PET scans, etc. The way these images are processed requires a tremendous amount of computational power. Before GPUs came into the picture, the complex computational requirements of these tasks were performed by CPUs. The processing power of CPUs is sorely limited when you begin to compare it against the ability of GPUs to process identical tasks. GPUs use a parallel processing approach to break down a complex computational problem into a series of smaller tasks. These small tasks are all accomplished simultaneously. The parallel processing capabilities of GPUs drastically improve the way medical images are processed in one broad sweep. Images are delivered in a smaller window of time than what was previously available through CPU based processing methods. This results in an improved healthcare system that eases the concerns of healthcare service providers and patients.

The Role of GPUs in Medical Research

The use of GPUs in medical imaging technology has affected the way medical tests and experiments are executed. One of the major areas of research in the medical field deals with cancer treatments. Medical practitioners are constantly looking for more efficient ways of detecting cancer. In terms of diagnosing the disease, an advanced diagnostic method that is currently being used in the field of oncology is fluorescent tomography. This method uses light to detect cancer growths within a patient’s body. Fluorescent tomography projects and scatters light throughout the body’s cells to spot cancer growths. The deeper the growths are in a patient’s body, the more difficult they are to detect as the light passes through each physiological layer.

Researchers have used GPUs to improve the method of fluorescent tomography.  The research method involved the use of a number of complex algorithms to simulate the way the fluorescent markers in fluorescent tomography looked like in a variety of 3 dimensional positions. Running these 3D simulations required the researchers to process billions of potential ways that the fluorescent markers could be dispersed throughout a patient’s body. If these researchers relied on CPU based processing to accomplish these tasks, the tests would have taken up a huge chunk of time. The use of GPUs allowed these researchers to use a parallel processing approach to cut the processing time drastically. Where CPU based processing systems required a total of 2.5 hours to accomplish these tests, GPU equipped devices completed these tests in 1 minute and a half. This is just one example of the practical uses that GPUs serve within the experimental field of the medical practice.

The Cybernet Advantage

The healthcare industry as a whole cannot afford to gloss over the role that 3D imaging diagnostic tools play when it comes to treating patients. Cybernet manufactures state of the art medical grade computers that are equipped with NVIDIA GPU chips that support 3D Imaging diagnostics. Through the use of these computers, healthcare professionals can expect to obtain a dramatic increase in speed when it comes to generating medical images like neurological 3D maps and real-time 3D MRI scans. With 3D medical imaging technology at your disposal, patient care practices become more efficient and processing intensive tasks can be executed in a drastically reduced amount of time.