June 1 2022
Congratulations to Mohamed Eldib, who has been selected as a recipient of the 2022 Best Medical / AAPM Fellowship.
May 20 2022
2022 AAPM Annual Meeting is around the corner, and will be held in Washington, DC. Our group will have 3 presentations on our quantitative CBCT imaging research.
March 5 2022
First in person meeting of 2022, SPIE Medical Imaging Conference. We presented a new approach for high fidelity kilovoltage CBCT imaging during megavoltage beam delivery in image guided radiation therapy, which was authored by Farhang Bayat.
December 10 2021
We were happy to be back in person at the RSNA 2021 Annual Meeting. We had 3 presentations. Farhang Bayat presented the effects of megavoltage cross-scatter on kilovoltage CBCT image quality in image guided radiation therapy, Mohamed Eldib presented a wavelet based image denoising method for 2D antiscatter grid CBCT, and Cem Altunbas gave a presentation on the feasibility of dual energy CBCT imaging in human torso using 2D antiscatter grids.
April 1 2021
Our work on the performance evaluation of 2D antiscatter grids and grid based scatter sampling methods was published in Medical Physics.
January 10 2021
CBCT has inferior quantitative accuracy when compared to standard multi-detector CT, also known as helical CT.
Recently, we developed a new method to improve quantitative accuracy of CBCT. This method exploits the use of 2D antiscatter grids in conjunction with flat panel detectors, to measure and correct residual scatter that was not stopped by the 2D grid. In this method, 2D antiscatter grid acts as a microarray of beam modulators placed directly on the detector, which, in turn, helps to measure residual scatter in projections. We refer this method as "Grid-based scatter sampling (GSS)". Correction of residual scatter using GSS method provides higher CT number accuracy than 2D antiscatter grid alone.
Our paper describing the GSS method was recently published in the Medical Physics Journal, and can be found here.
March 20 2020
Our work on a new scatter correction method was presented at the 2020 SPIE Medical Imaging Conference in Houston, TX. Here is recap of our presentation:
2D antiscatter grids stop vast majority of scattered radiation in flat panel detector-based CBCT. However, a small fraction of scatter goes through, and registered by the image receptor. A less known effect of residual scatter is that it may interfere with grid septal shadow correction, and cause ring artifacts in cone beam CT images.
To correct residual scatter, we developed a new method; we used 2D grid itself as a residual scatter measurement (and correction) device. This scatter correction approach not only improves CT number accuracy further, but also reduces ring artifacts.
Some of the proof of concept results can be found in the SPIE Conference Proceedings:
Here are couple of cone beam CT images from the link above. Ring artifacts are reduced substantially after residual scatter correction. Rings pointed by the blue arrows are caused by a detector related issue, not residual scatter. That’s why they are not corrected by our method.
November 15 2019
Our article, the effect of grid geometry on x-ray transmission properties, is published in Physics in Medicine and Biology.
This work shows that scattered radiation fraction is reduced by a factor of ~40 in high scatter conditions, when 2D grids (grid ratios 12-16) are used in cone beam CT geometry. Another conclusion of our work: 2D grids provide a factor of 5-7 lower scatter fraction than (high grid ratio) conventional grids, while also providing 20% better primary transmission than conventional grids.
June 10 2019
Our paper on a new ring artifact suppression method is published in the Medical Physics Journal.
In this work, we developed a new adaptive Total Variation Minimization technique (adTVM) to adjust the regularization weights in an automated fashion to reduce grid-induced ring artifacts. The images below shows the effect of adTVM method on ring artifacts in CBCT images acquired with 3 different 2D antiscatter grids.
August 10 2018
Here are a few images of 3D printed 2D antiscatter grid prototypes. These prototypes were fabricated from tungsten using Direct Metal Laser Sintering (DMLS) process. Each grid wall is only 100 microns thick, and it is aligned towards the x-ray focal spot, requiring a unique slant for each wall.
The prototype is being installed in the Varian TrueBeam CBCT system.
May 25 2018
We will have several presentations at the AAPM Annual Meeting in July. Timur’s work on CBCT ring artifacts suppression will be presented in the Science Council Session.
T. Alexeev, B. Miller, B. Kavanagh, M. Miften, C. Altunbas ”Development of High Aspect Ratio Two‐Dimensional Antiscatter Grids for CBCT”.
B. Miller, T. Alexeev, D. Thomas, K. Stuhr, B. Kavanagh, M. Miften, C. Altunbas “CBCT‐Based Dose Calculations with a Two‐Dimensional Anti‐Scatter Grid Prototype: The Effect of Scatter Suppression On Dose‐Calculation Accuracy”.
Science Council Session Presentation: T. Alexeev, B. Kavanagh, M. Miften, C. Altunbas “Development and Evaluation of a Total Variation Minimization Based Method for Suppressing Ring Artifacts in CBCT Images”.
January 20 2018
Our Medical Physics Letter is published in the Medical Physics Journal.
T. Alexeev, B. Kavanagh, M. Miften, C. Altunbas, “Two‐dimensional antiscatter grid: A novel scatter rejection device for Cone‐beam computed tomography, Med. Phys. 45(2), 529-534 (2018)
Click here to read the article.
This letter reports on the first cone beam CT images acquired with our 2D antiscatter grid prototypes. We observed significantly improved Hounsfield Unit (HU) accuracy, and up to 86% improvement in contrast-to-noise ratio in images acquired with the 2D grid.
July 15 2017
We are excited that our first paper on 2D antiscatter grids for cone beam CT is published in Medical Physics Journal.
C. Altunbas, B. Kavanagh, T. Alexeev, M. Miften “Transmission characteristics of a two-dimensional antiscatter grid prototype for CBCT,” Med. Phys. 44, 3952 (2017)
You can access the free full text here.
May 29 2017
Congratulations to Timur Alexeev! His is the winner of AAPM’s Science Council Junior Investigator Competition. His work received the highest score among 170 submissions. He will give his presentation titled “Development and Evaluation of a Two-Dimensional Antiscatter Grid for CBCT” at the AAPM Annual Meeting in Denver this July.
Cem Altunbas, PhD is an Associate Professor in the Department of Radiation Oncology at the University of Colorado School of Medicine (SOM). Dr. Altunbas’ research is focused on the development of novel x-ray imaging instruments and methods for medical imaging and image-guided radiation therapy. Before joining University of Colorado SOM, he has investigated photon counting gaseous detectors for digital radiography at SUNY Buffalo, and helped to develop a chest radiography system for lung nodule detection and a prototype breast computed tomography system for breast cancer imaging at MD Anderson Cancer Center. After completing his medical physics residency at Medical College of Virginia, he joined the Department of Radiation Oncology at University of Colorado SOM, and he has been working on imaging challenges faced in cone beam computed tomography (CBCT) guided radiation therapy. Currently, his NIH funded research is centered on developing a new 3D-printed antiscatter grid to improve soft tissue visualization and quantitative image features in CBCT.
Farhang Bayat received his B.Sc. and M.Sc. degrees in electrical engineering from Amirkabir University of Technology, Tehran, Iran, in 2012 and 2014, respectively and his PhD degree in electrical engineering from Louisiana State University, LA in 2020. He is currently a postdoctoral fellow with the Department of Radiation Oncology, University of Colorado SOM, CO. His research interests include development of Cone Beam CT systems and employment of 2D Grids for scatter reduction.
Mohamed Eldib is a postdoctoral fellow in the Department of Radiation Oncology at the University of Colorado since March 2021. In 2011, he received his B.S. degree in Systems and Biomedical Engineering from Cairo University in Egypt. In 2019, he received his Ph.D. degree in Biomedical Engineering from Kyung Hee University in S. Korea with the best thesis award. He worked for the Radiological Sciences Dept. at the University of California (UCI) as a postdoctoral fellow, where his research focused on the development of X-ray-induced-acoustic CT (XACT) and proton-induced-acoustic imaging (PAI) for radiological imaging and radiation oncology. Also, he has contributions in developing advanced algorithms for CT artifacts correction such as ring artifacts, motion artifacts, and metal artifacts, in addition, CT geometry calibration. Eldib’s current research at Altunbas lab focuses on developing a 2D anti-scatter grid to improve CBCT images visualization without compromising the image features.
We have open positions for exceptional graduate students and postdoctoral fellows who would like to join our lab. If you would like to learn more about these positions, please contact
Cem Altunbas, firstname.lastname@example.org
We have two open positions:
1. Postdoctoral fellowship in quantitative CBCT imaging and CBCT-guided radiation therapy. Please download the job description here.
2. Professional research assistant. Here is the link to the job description and job application portal at CU Careers website.