Carestream Unveils Groundbreaking AI-Based Technology that Advances X-Ray Image Quality
|
By MedImaging International staff writers Posted on 16 May 2021 |

Image: Smart Noise Cancellation (SNC) (Photo courtesy of Carestream Health)
Carestream Health (Rochester, N.Y., USA) has released Smart Noise Cancellation (SNC), a groundbreaking artificial intelligence (AI)-based technology that greatly improves image quality - producing images that are significantly clearer than with standard processing.
Separating noise from an image has been a challenge for medical imaging scientists. Traditional noise reduction introduces blurring, which degrades image sharpness and might remove important anatomical information. Conversely, the more an image is sharpened, the more noise may be enhanced. Noise is often an undesirable by-product of image capture and can obscure critical anatomical data. Carestream’s SNC is able to isolate noise to produce images that are significantly clearer than with standard processing.
As the preferred level of noise on X-ray images is subjective—for example, some radiologists expect to see a certain degree of noise in images, which assures them that the patient was not overexposed - Carestream enables imaging professionals to adjust the amount of noise cancellation and exposure to meet their desired image quality. Objective testing demonstrated that SNC processing enables a 2x–4x noise reduction in flat image areas, preserves high frequency sharpness and improves contrast detail. Additionally, a blind Clinical Reader Study using board-certified radiologists found that 89.5% of all study ratings showed a slight to strong preference for SNC-processed images. Additionally, 64% of the diagnostic quality ratings improved - based on the RadLex rating scale - and 56% of these ratings improved from “limited” or “diagnostic” to “exemplary.”
When combined with SmartGrid software, Smart Noise Cancellation software promises benefits in gridless imaging where the removal of scatter typically leads to an increase in noise appearance. SNC has received FDA 510(k) Clearance and is available as an optional feature with Carestream’s ImageView Software powered by Eclipse - the intelligent image-processing engine behind the company’s innovative imaging software - on DRX-Evolution and DRX-Evolution Plus systems.
“Carestream is a leader in using AI for noise cancellation with X-ray images. Our team of imaging scientists has been able to separate image noise from sharpness and contrast using AI-based algorithms that result in remarkable image quality,” said Jill Hamman, Worldwide Marketing Manager, Global X-ray Solutions at Carestream. “This technology provides improved anatomical clarity, preservation of fine detail and better contrast-to-noise ratio for images acquired at a broad range of exposures, which can help improve diagnostic confidence and alleviate physician fatigue. It also enables radiology professionals to better optimize radiation dose.”
Separating noise from an image has been a challenge for medical imaging scientists. Traditional noise reduction introduces blurring, which degrades image sharpness and might remove important anatomical information. Conversely, the more an image is sharpened, the more noise may be enhanced. Noise is often an undesirable by-product of image capture and can obscure critical anatomical data. Carestream’s SNC is able to isolate noise to produce images that are significantly clearer than with standard processing.
As the preferred level of noise on X-ray images is subjective—for example, some radiologists expect to see a certain degree of noise in images, which assures them that the patient was not overexposed - Carestream enables imaging professionals to adjust the amount of noise cancellation and exposure to meet their desired image quality. Objective testing demonstrated that SNC processing enables a 2x–4x noise reduction in flat image areas, preserves high frequency sharpness and improves contrast detail. Additionally, a blind Clinical Reader Study using board-certified radiologists found that 89.5% of all study ratings showed a slight to strong preference for SNC-processed images. Additionally, 64% of the diagnostic quality ratings improved - based on the RadLex rating scale - and 56% of these ratings improved from “limited” or “diagnostic” to “exemplary.”
When combined with SmartGrid software, Smart Noise Cancellation software promises benefits in gridless imaging where the removal of scatter typically leads to an increase in noise appearance. SNC has received FDA 510(k) Clearance and is available as an optional feature with Carestream’s ImageView Software powered by Eclipse - the intelligent image-processing engine behind the company’s innovative imaging software - on DRX-Evolution and DRX-Evolution Plus systems.
“Carestream is a leader in using AI for noise cancellation with X-ray images. Our team of imaging scientists has been able to separate image noise from sharpness and contrast using AI-based algorithms that result in remarkable image quality,” said Jill Hamman, Worldwide Marketing Manager, Global X-ray Solutions at Carestream. “This technology provides improved anatomical clarity, preservation of fine detail and better contrast-to-noise ratio for images acquired at a broad range of exposures, which can help improve diagnostic confidence and alleviate physician fatigue. It also enables radiology professionals to better optimize radiation dose.”
Latest Industry News News
- Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
- GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
- Patient-Specific 3D-Printed Phantoms Transform CT Imaging
- Siemens and Sectra Collaborate on Enhancing Radiology Workflows
- Bracco Diagnostics and ColoWatch Partner to Expand Availability CRC Screening Tests Using Virtual Colonoscopy
- Mindray Partners with TeleRay to Streamline Ultrasound Delivery
- Philips and Medtronic Partner on Stroke Care
- Siemens and Medtronic Enter into Global Partnership for Advancing Spine Care Imaging Technologies
- RSNA 2024 Technical Exhibits to Showcase Latest Advances in Radiology
- Bracco Collaborates with Arrayus on Microbubble-Assisted Focused Ultrasound Therapy for Pancreatic Cancer
- Innovative Collaboration to Enhance Ischemic Stroke Detection and Elevate Standards in Diagnostic Imaging
- RSNA 2024 Registration Opens
- Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging
- GE HealthCare Acquires Intelligent Ultrasound Group’s Clinical Artificial Intelligence Business
- Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions
- Polish Med-Tech Company BrainScan to Expand Extensively into Foreign Markets
Channels
Radiography
view channel
AI Boosts Breast Cancer Detection and Cuts Screening Workload
Breast cancer screening programs face rising demand and persistent workforce shortages, straining double-reading workflows and delaying care. Early detection is critical to reduce mortality and minimize... Read more
AI Tool Predicts Breast Cancer Risk Years Ahead Using Routine Mammograms
Breast cancer screening saves lives but still relies largely on uniform schedules despite wide differences in individual risk. This one-size-fits-all approach can miss cancers in higher-risk women while... Read moreMRI
view channel
MRI-Derived Biomarker Improves Risk Stratification in Glioblastoma
Glioblastoma is marked by rapid growth and diffuse infiltration that complicate prognosis and treatment planning. Clinicians need objective tools that capture both how these tumors expand and how they... Read more
Combined Imaging Approach Identifies Cause of Heart Attack without Coronary Blockage
Patients who present with myocardial infarction but show no obstructive coronary disease often leave without a definitive diagnosis. That uncertainty complicates in-hospital decision-making and post-discharge... Read moreUltrasound
view channel
New Ultrasound AI Tool Supports Rapid Prenatal Assessment
Accurate gestational age estimation guides prenatal screening, detection of complications, and timely intervention. Access to ultrasound and trained sonographers is uneven, with nearly half of U.... Read more
New Consensus Standardizes Ultrasound-Based Fatty Liver Assessment
Metabolic dysfunction-associated steatotic liver disease (MASLD) is rising along with obesity and diabetes, making accurate, scalable measurement of hepatic fat a clinical priority. Biopsy is invasive... Read moreNuclear Medicine
view channel
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channel
AI Tool Predicts Side Effects from Lung Cancer Treatment
Radiation therapy is a central treatment for lung cancer, but even carefully targeted radiation can affect surrounding healthy tissue. Patients may develop side effects such as lung inflammation, coughing,... Read more
AI Tool Offers Prognosis for Patients with Head and Neck Cancer
Oropharyngeal cancer is a form of head and neck cancer that can spread through lymph nodes, significantly affecting survival and treatment decisions. Current therapies often involve combinations of surgery,... Read moreImaging IT
view channel
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more







