A survey of medical image registration on graphics hardware

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A Review of Point Cloud Registration Algorithms for Mobile Robotics (2015, background): “Although surveys exist to support registration in medical imagery [Maintz and Viergever, 1998, Markelj et al., 2012, Fluck et al., 2011, Pluim et al., 2003] and object reconstructions/recognition [Salvi et al., 2007, Bowyer et al., 2006], there is no scientific publication covering the evolution of…”
A survey of GPU-based medical image computing techniques. (2012, background): “where D is a data term that forces the model toward desirable features in the input data, the term ( ) | | I I ∇⋅ ∇ ∇ is the mean curvature of the surface, which forces the surface to have less area (and remain smooth), and [0,1] α ∈ is a free parameter that controls the degree of smoothness in the ”
Medical image processing on the GPU - Past, present and future (2013, background): “Due to the popularity of using GPUs for image registration , two surveys (Shams et al., 2010b; Fluck et al., 2011) have recently appeared.”
Survey of Non-Rigid Registration Tools in Medicine (2017, background): “[25], while others emphasize high-performance computing (HPC) [26], metaheuristics such as evolutionary algorithms [27], and implementations on the graphical processing units [28, 29].”