8 February 2018 General rigid motion correction for computed tomography imaging based on locally linear embedding
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Abstract
The patient motion can damage the quality of computed tomography images, which are typically acquired in cone-beam geometry. The rigid patient motion is characterized by six geometric parameters and are more challenging to correct than in fan-beam geometry. We extend our previous rigid patient motion correction method based on the principle of locally linear embedding (LLE) from fan-beam to cone-beam geometry and accelerate the computational procedure with the graphics processing unit (GPU)-based all scale tomographic reconstruction Antwerp toolbox. The major merit of our method is that we need neither fiducial markers nor motion-tracking devices. The numerical and experimental studies show that the LLE-based patient motion correction is capable of calibrating the six parameters of the patient motion simultaneously, reducing patient motion artifacts significantly.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Mianyi Chen, Peng He, Peng Feng, Baodong Liu, Qingsong Yang, Biao Wei, Ge Wang, "General rigid motion correction for computed tomography imaging based on locally linear embedding," Optical Engineering 57(2), 023102 (8 February 2018). https://doi.org/10.1117/1.OE.57.2.023102 . Submission: Received: 29 June 2017; Accepted: 5 January 2018
Received: 29 June 2017; Accepted: 5 January 2018; Published: 8 February 2018
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