Image Processing: Page 40

Video from ECR 2019: Christiane Nyhsen on ultrasound hygiene

Public awareness of the risks of infection transmission through ultrasound is increasing, and there are now best practice recommendations for the decontamination of equipment and also the choice of gel and transducer covers. Ultrasound fusion necessitates the use of extra equipment, and strict hygiene protocols are vital to ensure patient safety, according to Dr. Christiane Nyhsen, a member of the European Society of Radiology's ultrasound subcommittee.

February 28, 2019

Medic Vision inks Chinese distribution deal

By AuntMinnie.com staff writers

Image reconstruction software developer Medic Vision Imaging Solutions has signed a multiyear partnership with a Chinese healthcare holding company to distribute its intelligent Quick MR (iQMR) software across China.

February 12, 2019

Median completes restructuring, previews 2018 results

By AuntMinnie.com staff writers

Imaging software developer Median Technologies said it has reconfigured into two separate business units as part of a new focus on its iBiopsy artificial intelligence, image processing, and cloud computing platform for medical imaging. The company also reported preliminary 2018 financial results.

February 7, 2019

AI singles out high-risk prostate cancer on mpMRI

By Erik L. Ridley

Working with radiomics data on multiparametric MRI (mpMRI) scans, an artificial intelligence (AI) algorithm was able to distinguish between low-risk and high-risk prostate cancer more accurately than the current risk assessment approach used by radiologists, according to research published online February 7 in Scientific Reports.

February 7, 2019

AI may predict lymph node metastasis in gastric cancer

By Erik L. Ridley

The combination of artificial intelligence (AI) and radiomics features on CT images can outperform current methods for preoperatively predicting lymph node metastasis from gastric cancer, according to research published online February 4 in the Journal of the American College of Radiology.

February 7, 2019

Cinematic rendering paves way for 'virtual' physical exam

By Abraham Kim

Radiologists from Massachusetts identified ear calcification on the cinematically rendered CT scans of a patient with traumatic brain injury -- effectively allowing them to uncover a rare diagnosis without performing a physical exam, according to an article published online January 28 in Endocrine.

February 4, 2019

Canon announces upgrades to Celesteion PET/CT

By AuntMinnie.com staff writers

Canon Medical Systems has updated its Celesteion PET/CT scanner software with new acquisition features and image reconstruction techniques.

February 3, 2019

Canon debuts global illumination at Arab Health

By AuntMinnie.com staff writers

Canon Medical Systems announced the release of its global illumination image rendering technology at the recent Arab Health 2019 conference in Dubai, United Arab Emirates.

February 3, 2019

FDA OKs Perspectum Diagnostics' biliary software

By AuntMinnie.com staff writers

Image analysis software developer Perspectum Diagnostics has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its biliary visualization MRCP+ software.

January 23, 2019

4D flow MRI, 3D printing improve congenital heart surgery

By Abraham Kim

Planning a complex surgery for patients with congenital heart disease may require multiple advanced visualization techniques, say researchers from California, who used both 4D flow MRI and 3D printing for a case study recently published in the World Journal for Pediatric and Congenital Heart Surgery.

January 22, 2019

Cinematic rendering enhances pelvic CT bone evaluation

By Abraham Kim

Researchers from Thailand used cinematic rendering to enhance the visualization of pelvic bone CT scans, enabling radiologists and osteologists to identify key features for age estimation without invasive preparation, according to an article recently published in Forensic Science International.

January 20, 2019

AI can differentiate glioblastoma, brain metastasis

By Erik L. Ridley

The combination of radiomics and an artificial intelligence (AI) algorithm can yield a high rate of accuracy for differentiating between glioblastoma and solitary brain metastasis on T1-weighted MRI exams, according to research published online January 11 in the Journal of Magnetic Resonance Imaging.

January 15, 2019

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