A 3D linear system model for the optimization of dual-energy contrast-enhanced digital breast tomosynthesis

Yue-Houng Hu; Wei Zhao

doi:10.1117/12.878134

Translator Disclaimer

16 March 2011 A 3D linear system model for the optimization of dual-energy contrast-enhanced digital breast tomosynthesis

Yue-Houng Hu, Wei Zhao

Author Affiliations +

Proceedings Volume 7961, Medical Imaging 2011: Physics of Medical Imaging; 79611C (2011) https://doi.org/10.1117/12.878134
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Digital breast tomosynthesis (DBT) is a three-dimensional (3D) x-ray imaging modality that has been shown to decrease the obscuring effect of breast structural noise, thereby increasing lesion conspicuity. To further improve breast cancer detection, much recent work has been devoted to the development of contrast enhanced DBT (CEDBT). Taking advantage of angiogenesis in malignant tissue, CEDBT involves the injection of radio-opaque material (i.e. iodine) and measures the relative increase in uptake of contrast in breast cancer. Either temporal or dual energy subtraction techniques may be used to implement CEDBT. Our present work is to develop a cascaded linear system model for DBT with a CEDBT option to calculate the ideal observer signal to noise ratio (SNR) of lesions in the presence of structural noise, evaluate the efficacy of CEDBT in the removal of structural noise, and examine the associated increase in x-ray quantum noise. Our model will include the effects of dual energy subtraction on signal and noise transfer, and transfer of power-law form anatomical noise through a DBT system using a modified filtered backprojection (FBP) algorithm. This model will be used for the optimization of x-ray techniques and reconstruction filters in CEDBT.

Citation Download Citation

Yue-Houng Hu and Wei Zhao "A 3D linear system model for the optimization of dual-energy contrast-enhanced digital breast tomosynthesis", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79611C (16 March 2011); https://doi.org/10.1117/12.878134

ACCESS THE FULL ARTICLE