The multi-source inverse-geometry CT(MS-IGCT) system is composed of multiple sources and a small 2D detector
array. Each source is activated sequentially and covers a small portion of the field-of-view (FOV) and a full FOV
reconstruction is acquired by combining projection data from all sources. During the data acquisition, the intensity of
each x-ray source could change, e.g. because of instability in the power supply, leading to artifacts in the reconstructed
image. To reduce the image artifacts, we developed a data normalization algorithm for the MS-IGCT system. The
projection data of each source shares an overlap region in 2D Radon space with another source. Thus, substantially same
projection data can be generated from different sources at different gantry positions. Since at least one source can
illuminate a reference channel and therefore its data can be easily normalized. This normalized projection data can be
used to normalize the raw data of another source with which it shares an overlap region. By performing this
normalization process sequentially, the intensity variations of all sources can be corrected. The proposed method was
tested with Shepp-Logan phantom using 10% random source intensity fluctuations. While the reconstructed image
showed image artifacts that result from uncorrected fluctuations, after applying the proposed normalization algorithm,
image artifacts were removed.
Jongduk Baek,
Norbert J. Pelc,
"Data normalization method for a multisource inverse geometry CT system", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83132B (3 March 2012); doi: 10.1117/12.912029; https://doi.org/10.1117/12.912029
Jongduk Baek, Norbert J. Pelc, "Data normalization method for a multisource inverse geometry CT system," Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83132B (3 March 2012);