Scientific Publications

Our Peer-Reviewed Publications

Ghazi, Peymon, Sina Youssefian, and Tara Ghazi. "A novel hardware duo of beam modulation and shielding to reduce scatter acquisition and dose in cone‐beam breast CT." Medical Physics 49.1 (2022)

Ikejimba, Lynda, Asma Farooqui, and Peymon Ghazi. "Hyperia: A novel methodology of developing anthropomorphic breast phantoms for x-ray imaging modalities–Part I: Concept and initial findings." Medical Physics.

Ghazi, Peymon. "A fluence modulation and scatter shielding apparatus for dedicated breast CT: Theory of operation." Medical Physics 47, no. 4 (2020).

Ghazi, Peymon. "Reduction of scatter in breast CT yields improved microcalcification visibility." Physics in Medicine & Biology (2020).

Ghazi, Peymon, Andrew Hernandez, Craig Abbey, Kai Yang, John Boone "Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum‐likelihood polynomial fitting approach." Medical Physics 46, no. 8 (2019).

Our Science & Technology

Our long term vision at MALCOVA is to move breast cancer radiology towards patient-specific imaging. Too often in patient care, technology and practice relies on the "average" patient, rather than the specific patient. To change this, it is necessary to design tools that are able to accommodate and treat individuals - unique in their anatomy and their healthcare needs.

Our current projects are aimed at advancing this long term vision through development of novel, x-ray based imaging systems, anthropomorphic breast phantoms, and interfaces that are truly effective for the health care practitioner.

"Scatter Free" tomographic breast imaging

Our research, reported in peer-reviewed scientific journals, has demonstrated that scattered radiation has a detrimental impact on breast computed tomography (CT) images.

We have designed and prototyped a scatter-free tomographic breast imaging system that will deliver significant improvements in the visibility of microcalcifications (tiny calcium deposits that cue radiologists to early-stage cancers) while significantly reducing radiation dose exposure to the patient.

Comparison across different breast diameters

Anthropomorphic Breast Phantoms

Current breast cancer research utilizes overly simplistic phantoms that do not adequately replicate the anatomy of the human breast. These phantoms are used for performance assessment and quality control in breast cancer technologies, among other functions.

We are developing anthropomorphic breast phantoms, based upon actual breast cancer patient images and anatomy.

SDNR and Gain calculations across comparative breast-CT systems