From the Abdominal Radiology: Low kV versus dual-energy virtual monoenergetic CT imaging for proven liver lesions: what are the advantages and trade-offs in conspicuity and image quality? A pilot study Read more here.

From the Journal of Medical Imaging: Use of a channelized Hotelling observer to assess CT image quality and optimize dose reduction for iteratively reconstructed images. Read more here.

Work done by Dr. Shuai Leng is highlighted in a recent article on medical physics web.  The article focuses on a recent paper by Dr. Leng published in Physics in Medicine and Biology, in which photon-counting CT is shown to demonstrate characteristics equivalent to or even better than energy-integrating detector [...]

The CT CIC welcomes Irene Duba, who comes to us from the University of Lewis & Clark in Portland, OR.  Irene is doing an internship with Siemens Healthineers under the direction of the Mayo Siemens Liaison, Ahmed Halaweish.

From the Journal of Medical Imaging: Estimation of signal and noise for a whole-body research photon counting CT system. Read more here.

From Phys Med Biol: Spectral performance of a whole-body research photon counting detector CT: Quantitative accuracy in derived image sets Read more here.

Yu, L et al. Correlation between a 2D Channelized Hotelling Observer and Human Observers in a Low-contrast Detection Task with Multi-slice Reading in CT. Congratulations Dr. Yu!

The CIC welcomes two new research fellows to our group, Andrew Missert, PhD and Elisabeth Shanblatt, PhD.  Both come to Mayo Clinic from the University of Colorado Boulder.

Congratulations to Dr. Lifeng Yu!  His NIH R21 submission, entitled "Multi-Energy CT with Energy-Integrating Detector" was recently awarded for a two-year term.

We welcome two new people to our lab: Shengzhen Tao, PhD, and David J. Bartlett, MD.  Both will be completing research time with our group before moving on to residencies.

From 3D Printing in Medicine: Anatomic modeling using 3D printing: Quality assurance and optimization Read more here.

From AJR: Consistency of renal stone volume measurements across scanner model and reconstruction algorithm Read more here.