Abstract
AbstractThis paper proposes a research of An Accelerating 3D Image Reconstruction System Based on the Level-of-Detail Algorithm and combines 3D graphic application interfaces, such as DirectX3D and OpenCV to reconstruct the 3D imaging system for Magnetic Resonance Imaging (MRI), and adds Level of Detail (LOD) algorithm to the system. The system uses the volume rendering method to perform 3D reconstruction for brain imaging. The process, which is based on the level of detail algorithm that converts and formulates functions from differing levels of detail and scope, significantly reduces the complexity of required processing and computation, under the premises of maintaining drawing quality. To validate the system’s efficiency enhancement on brain imaging reconstruction, this study operates the system on various computer platforms, and uses multiple sets of data to perform rendering and 3D object imaging reconstruction, the results of which are then verified and compared.
Highlights
Before 2001, there is no official issue about vertex processor or pixel processor, 3D graphical computation is usually achieved by Vector Processor [1].The main purpose of Vector processor is accelerating the speed of matrix-computation, which uses VLIW (Very Long Instruction Word) or Floating Point Multiple Accumulator Processing Element of SIMD (Single Instruction Multiple Data) to accelerate the computation
3D, or multiple dimensions, medical imaging reconstruction is being more concerned in medical field
Due to the digital medical imaging has become more acceptable by medical field, plus the exponential growth of the computation capacity of the central processing unit (CPU) and graphic processing unit (GPU), the integration of 3D medical imaging and surgical planning has become a trend in the surgical field [3][4]
Summary
Before 2001, there is no official issue about vertex processor or pixel processor, 3D graphical computation is usually achieved by Vector Processor [1].The main purpose of Vector processor is accelerating the speed of matrix-computation, which uses VLIW (Very Long Instruction Word) or Floating Point Multiple Accumulator Processing Element of SIMD (Single Instruction Multiple Data) to accelerate the computation. 3D, or multiple dimensions, medical imaging reconstruction is being more concerned in medical field It requires vast computation and data flow capacity, so that it fails to fulfill the need for immediate reconstruction. Around this time, the multi-core processor architecture brings forth new visions and new possibilities for digital signal processing and image processing because of its coming into the market and being widely adopted. Due to MRI has been used widely on clinical, MRI image discrimination and 3-D model reconstruction get more attention gradually, recently, research of image-reconstruction on joint cartilage becomes important[8][9]. While building the 3D modeling of MRI, we use an algorithm related to LOD [10] to simplify the vertex data of the model so as to reduce data volume needed for the computation of 3D imaging reconstruction, to achieve real-time computation by the hardware platform
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