Frances Rylands-Monk[email protected]MRIFrench group casts light on safety of 11.7T MRIFrench researchers have provided new details about the methods used to obtain images of the human brain in vivo on an 11.7 tesla MRI unit.October 21, 2024Radiology EducationJFR 2024: How can radiology benefit from Generation Z?When working with Generation Z colleagues, it's vital to avoid stereotypes and understand why intergenerational differences exist.October 7, 2024Clinical NewsAI reconstruction to prove true 'disrupter' to MRI practiceArtificial intelligence (AI)-based image reconstruction can deliver real-world benefits for MRI, enabling faster acquisition times and opening up new clinical applications for the modality.May 22, 2023Clinical NewsHeart of Australia, Philips bring CT screening to outback communitiesA four-year project to create a mobile radiology clinic to screen Australian miners has culminated in the Heart of Australia truck launched in February 2022. The truck takes the Philips' 128-slice Incisive CT Pro scanner to mining towns for CT lung screening.May 4, 2023AISilicon Valley Bank failure could foreshadow health tech shiftsWith the failure of Silicon Valley Bank on March 10 but a speedy response from the U.S. government to guarantee deposits, initial panic among startup founders may have abated.March 14, 2023MRIVirtual reality and postmortem imaging bring crime scenes 'to life'How do the Swiss use postmortem imaging? What technology being used in the courtroom? Leading expert Dr. Michael Thali, who is participating in the "Radiology of the Afterlife" course at ECR 2023, speaks about the Zurich approach and new trends in virtopsy.February 28, 20232023ECR: Beast sleeps as Vienna experiences 'typical' spring weatherECR delegates may have been anticipating a chilly reception in Vienna as they arrived on Monday, amid rumors of a return of the "Beast from the East" cold snap, but they were greeted by cloud cover that looks set to give way to sun over the course of the congress.February 27, 2023MRISustainability and green radiology emerge as hot topics at ECR 2023Imaging's role in fighting climate change will come under the spotlight at ECR 2023. Ahead of the congress, keynote speaker Dr. Sarah Sheard discusses the environmental evidence and data and gives practical tips on how to reduce carbon emissions.February 27, 2023AIAI improves lung nodule detection in health screeningNew research from South Korea shows that in countries using x-ray as part of population health check-ups, artificial intelligence (AI)-based software may improve the detection of lung nodules, according to research presented at the recent RSNA meeting in Chicago.December 7, 2022AIHow to avoid the AI integration trapsUnderstanding the challenges of implementing AI can help groups set priorities and strategy, delegates heard on November 28 at RSNA 2022 in Chicago.November 29, 2022Page 1 of 11Next PageTop StoriesCardiac ImagingECR: Cardiac imaging is at the 'heart' of precision medicineThe heart beats 2.5 billion times in a person's lifetime and "never has a day off," presenter Michelle Williams, PhD, noted.UltrasoundUltrasound MinnieCast, Episode 3: Focused ultrasound brings hope to patientsWomens ImagingECR: LLMs help patients understand breast imaging reportsCTDL segmentation of chest muscle volume shows promise for COPD patientsCareersHPI: Workforce attrition higher in radiology subspecialties
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=167&q=70&w=250)
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
