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General/Advanced Imaging

Image: Researchers will use AI to develop new quantitative imaging markers for cancer (Photo courtesy of Unsplash)

New Quantitative Imaging Markers Could Improve Cancer Detection, Diagnosis and Treatment

Medical imaging is an essential tool to help doctors and scientists assess the size and scope of a tumor that will be effectively removed by surgery, as well as the rate at which tumors shrink in response to medical interventions such as chemotherapy or radiation therapy. Researchers are now investigating multiple avenues, including the development of quantitative imaging markers, to help improve medical imaging use in cancer detection, diagnosis and treatment. More...
24 Mar 2022
Image: Selection of mammographic mediolateral oblique views of breasts with different breast density (Photo courtesy of RSNA)

AI Tool Accurately and Consistently Classifies Breast Density on Mammograms

Breast density reflects the amount of fibroglandular tissue in the breast commonly seen on mammograms. High breast density is an independent breast cancer risk factor, and its masking effect of underlying lesions. Now, an artificial intelligence (AI) tool can accurately and consistently classify breast density on mammograms. More...
18 Mar 2022
Image: Researchers detected air trapping on expiratory chest CT images of post-COVID patients (Photo courtesy of Pexels)

AI-Based Analysis of Expiratory Chest CT Images of Post-COVID Patients Shows Evidence of Small Airways Disease

Early reports indicate that more than 50% of adult survivors of SARS-CoV-2 infection experience post-acute sequelae of COVID-19 (PASC), more commonly known as “long COVID.” Respiratory symptoms, including cough and dyspnea, are reported by nearly 30% of patients with long COVID, including those who experienced mild infection. Now, a new study has found air trapping, indicative of small airways disease, in patients with lingering respiratory symptoms after COVID-19 infection. More...
18 Mar 2022
Image: TUM researchers working together at the micro-computed tomography scanner (Photo courtesy of TUM)

Novel Micro-Computed Tomography (Micro-CT) Imaging Method Could Significantly Reduce Scan Times

Micro-computed tomography (micro-CT) is an imaging method based on X-ray images which are reconstructed to form a three-dimensional image of the internal structure of samples with small dimensions. Researchers in biomedical physics and biology have significantly improved micro-CT, more specifically imaging with phase contrast and high brilliance X-ray radiation. More...
17 Mar 2022
Image: OmniTom Elite has received 510(k) clearance for addition of Photon Counting Detector technology (Photo courtesy of NeuroLogica Corp.)

Mobile CT Scanner with Photon Counting Detector Expands Diagnostic Possibilities at Patient’s Bedside

NeuroLogica Corp. (Danvers, MA, USA), the U.S. healthcare subsidiary of Samsung (Suwon-si, South Korea), has received 510(k) clearance for the addition of Photon Counting Detector (PCD) technology to its state-of-the-art OmniTom Elite CT scanner. With this, NeuroLogica delivers the first FDA 510(k) cleared, single-source photon counting CT scanner with single detector on a mobile system. OmniTom Elite with PCD can generate spectral CT images at multiple energy levels. More...
11 Mar 2022
Image: Digital hybrid breast PET/MRI for enhanced diagnosis of breast cancer (Photo courtesy of HYPMED)

New Hybrid PET/MRI System Aims to Improve Breast Cancer Diagnosis

The HYPMED project, coordinated by the European Institute for Biomedical imaging (EIBIR, Vienna, Austria), aims to develop a radiofrequency coil that can be connected to any regular clinical MR scanner and transform the device into a high-resolution PET/MRI hybrid system, which can be used to identify even the smallest breast cancer tumors and better characterize the cancer, as well as its response to therapy. More...
10 Mar 2022
Image: Researchers are using AI to examine CT scans of melanoma patients (Photo courtesy of Columbia University)

Artificial Intelligence Predicts Treatment Success for Melanoma Patients from Early CT Scans

Artificial intelligence (AI) is poised to revolutionize the field of radiology as a tool to improve disease detection, diagnosis, and clinical care. The technology has the potential to assist clinicians by uncovering hidden information within imaging scans invisible to even the well-trained eye. Now, researchers have demonstrated that applying AI to standard-of-care imaging can help predict how well immunotherapy will work for patients with melanoma. More...
08 Mar 2022
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MedImaging General Imaging channel provides a portal into the less common imaging technologies such as diffuse optical tomography (NIR), optical coherence tomography, electrical impedance tomography and more.

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