Low-dose dual-energy cone-beam CT using a total-variation minimization algorithm

Jonghwan Min; Taewon Lee; Kyong-Woo Kim; Gyuseong Cho; Seungryong Cho

doi:10.1117/12.877914

16 March 2011 Low-dose dual-energy cone-beam CT using a total-variation minimization algorithm

Jonghwan Min, Taewon Lee, Kyong-Woo Kim, Gyuseong Cho, Seungryong Cho

Proceedings Volume 7961, Medical Imaging 2011: Physics of Medical Imaging; 796132 (2011) https://doi.org/10.1117/12.877914
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Dual-energy cone-beam CT is an important imaging modality in diagnostic applications, and may also find its use in other applications such as therapeutic image guidance. Despite of its clinical values, relatively high radiation dose of dual-energy scan may pose a challenge to its wide use. In this work, we investigated a low-dose, pre-reconstruction type of dual-energy cone-beam CT (CBCT) using a total-variation minimization algorithm for image reconstruction. An empirical dual-energy calibration method was used to prepare material-specific projection data. Raw data acquired at high and low tube voltages are converted into a set of basis functions which can be linearly combined to produce material-specific data using the coefficients obtained through the calibration process. From much fewer views than are conventionally used, material specific images are reconstructed by use of the total-variation minimization algorithm. An experimental study was performed to demonstrate the feasibility of the proposed method using a micro-CT system. We have reconstructed images of the phantoms from only 90 projections acquired at tube voltages of 40 kVp and 90 kVp each. Aluminum-only and acryl-only images were successfully decomposed. A low-dose dual-energy CBCT can be realized via the proposed method by greatly reducing the number of projections.

Citation Download Citation

Jonghwan Min, Taewon Lee, Kyong-Woo Kim, Gyuseong Cho, and Seungryong Cho "Low-dose dual-energy cone-beam CT using a total-variation minimization algorithm", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 796132 (16 March 2011); https://doi.org/10.1117/12.877914

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