Design and Implementation of a Novel Processing Pipeline for Magnetic Resonance Images

doi:10.11938/cjmr20172588

Abstract

Abstract: Reconstruction, post-processing and visualization of images are important parts of magnetic resonance imaging (MRI). In this work, a new open source framework, namely Yet Another Pipeline (YAP), was proposed for reconstruction, post-processing and visualization of MR images. With YAP, researchers can build customized image-processing pipelines with ease. Compared with the existing open source frameworks, YAP has the following features:(1) it has an interface-based design, enabling function extension by plugin development; (2) it uses a script language with straightforward grammar, making it easy to build and modify customized pipelines; (3) it supports branches in the pipelines, facilitating pipeline building and debugging. YAP has been implemented on a commercial MRI system.

Key words: magnetic resonance imaging (MRI), processing pipeline, Yet Another Pipeline (YAP), open source, medical image processing, compressed sensing (CS)

CLC Number:

O482.53

LUO Qing, ZHANG Cheng-xiu, LI Wen-jing, ZHENG Hui, XIE Hai-bin, YANG Guang. Design and Implementation of a Novel Processing Pipeline for Magnetic Resonance Images[J]. Chinese Journal of Magnetic Resonance, 2018, 35(1): 40-51.

References

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