Add to ORKGHigh Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements.
Due to processing constraints, automatic image-based registration of medical images has been largely...
Many multi-image fusion applications require fast registration methods in order to allow real-time p...
Abstract—Unacceptable execution time of Non-rigid regis-tration (NRR) often presents a major obstacl...
Purpose: Image registration is an important aspect of medical image analysis and a key component in ...
In this article, we look at early, recent, and state-of-the-art methods for registration of medical ...
We present a complete approach to highly efficient image registration for embedded systems, covering...
This paper presents highly optimized implementation of image registration method that is invariant ...
In the medical imaging field, we need fast deformable registration methods especially in intra-opera...
Medical image registration tasks of large volume datasets, especially in the non-rigid case, often p...
Volume image registration remains one of the best candidates for Graphics Processing Unit (GPU) acce...
Abstract — For the past decade, improving the performance and accuracy of medical image registration...
Medical image registration is time-consuming but can be sped up employing parallel processing on the...
Image Registration is a highly compute-intensive optimization procedure that determines the geometri...
: Digital image registration is very important in many applications, such as medical imagery, robot...
Deformable image registration (DIR) is an important tool for clinical applications, especially in me...
Due to processing constraints, automatic image-based registration of medical images has been largely...
Many multi-image fusion applications require fast registration methods in order to allow real-time p...
Abstract—Unacceptable execution time of Non-rigid regis-tration (NRR) often presents a major obstacl...
Purpose: Image registration is an important aspect of medical image analysis and a key component in ...
In this article, we look at early, recent, and state-of-the-art methods for registration of medical ...
We present a complete approach to highly efficient image registration for embedded systems, covering...
This paper presents highly optimized implementation of image registration method that is invariant ...
In the medical imaging field, we need fast deformable registration methods especially in intra-opera...
Medical image registration tasks of large volume datasets, especially in the non-rigid case, often p...
Volume image registration remains one of the best candidates for Graphics Processing Unit (GPU) acce...
Abstract — For the past decade, improving the performance and accuracy of medical image registration...
Medical image registration is time-consuming but can be sped up employing parallel processing on the...
Image Registration is a highly compute-intensive optimization procedure that determines the geometri...
: Digital image registration is very important in many applications, such as medical imagery, robot...
Deformable image registration (DIR) is an important tool for clinical applications, especially in me...
Due to processing constraints, automatic image-based registration of medical images has been largely...
Many multi-image fusion applications require fast registration methods in order to allow real-time p...
Abstract—Unacceptable execution time of Non-rigid regis-tration (NRR) often presents a major obstacl...