Dear AuntMinnie Member,
The legislation passed this week to raise the U.S. debt ceiling could contain some unpalatable ingredients for the medical imaging community.
Specifically, the Budget Control Act of 2011 could result in even further reductions in Medicare payments if $1.2 trillion in cost savings aren't found to wring from the federal budget by November of this year. That will trigger automatic cuts in federal programs -- including Medicare -- to begin in 2013.
And as anyone who follows the U.S. political landscape knows, when Congress needs to cut Medicare, it usually starts with medical imaging. How could the debt deal affect radiology? Find out in an article by associate editor Kate Madden Yee in our Imaging Leaders Digital Community by clicking here, or visit leaders.auntminnie.com.
More AAPM coverage
Meanwhile, we continue to bring you coverage from the American Association of Physicists in Medicine (AAPM) meeting, which wraps up today in Vancouver.
One of our featured AAPM stories is an article on reducing radiation dose in CT studies through the use of an automated quality assurance software application. Duke University researchers say the program is unique in that it includes patient age and gender in its calculations. Learn more by clicking here.
In other news, Chinese researchers also attacked the CT dose dilemma, this time for image-guided interventional procedures. They developed an imaging protocol that eliminates the need to perform multiple scans of the same anatomical area as interventional devices such as needles are inserted into the body. Find out how they did it by clicking here.

















![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=112&q=70&w=112)