Efficient methods for implementation of multi-level nonrigid mass-preserving image registration on GPUs and multi-threaded CPUs

Computer Methods and Programs in Biomedicine
Nathan D EllingwoodChing-Long Lin

Abstract

Faster and more accurate methods for registration of images are important for research involved in conducting population-based studies that utilize medical imaging, as well as improvements for use in clinical applications. We present a novel computation- and memory-efficient multi-level method on graphics processing units (GPU) for performing registration of two computed tomography (CT) volumetric lung images. We developed a computation- and memory-efficient Diffeomorphic Multi-level B-Spline Transform Composite (DMTC) method to implement nonrigid mass-preserving registration of two CT lung images on GPU. The framework consists of a hierarchy of B-Spline control grids of increasing resolution. A similarity criterion known as the sum of squared tissue volume difference (SSTVD) was adopted to preserve lung tissue mass. The use of SSTVD consists of the calculation of the tissue volume, the Jacobian, and their derivatives, which makes its implementation on GPU challenging due to memory constraints. The use of the DMTC method enabled reduced computation and memory storage of variables with minimal communication between GPU and Central Processing Unit (CPU) due to ability to pre-compute values. The method was assessed on six healthy ...Continue Reading

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Citations

Jan 6, 2017·Computational and Mathematical Methods in Medicine·Xiaogang DuTao Lei
Aug 2, 2017·Medical & Biological Engineering & Computing·Babak HaghighiChing-Long Lin
Jan 1, 2021·Journal of Parallel and Distributed Computing·Malte BrunnAndreas Mang
Nov 9, 2020·Computer Methods and Programs in Biomedicine·Rosa-María Menchón-LaraCarlos Alberola-López
May 25, 2021·Computer Methods and Programs in Biomedicine·Elena Martín-GonzálezCarlos Alberola-López

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