A framework for 3D x-ray CT iterative reconstruction using GPU-accelerated ray casting

Zhang, Zhan; Ghadai, Sambit; Bingol, Onur Rauf; Krishnamurthy, Adarsh; Bond, Leonard J.

doi:10.1063/1.5099749

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Cullip and Neumann first proposed a method to accelerate volume rendering using 3D texture hardware [4]. Zhang et al used GPU-based fast ray casting method for volume rendering in CT 3D reconstruction to shorten the reconstruction time [5]. Ross [9].…”

Section: Related Workmentioning

confidence: 99%

Research on Improved Ray Casting Algorithm and Its Application in Three‐Dimensional Reconstruction

Jia

Chen

Wang

2021

Shock and Vibration

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Spinal pathology treatment has become an urgent issue to be solved. How to effectively prevent and treat spinal pathology has become a research hotspot in the field of surgery. Aiming at the problem of too long volume rendering time caused by the trilinear interpolation sampling method in the reconstruction and visualization of the vertebra 3D model, an improved ray projection algorithm is proposed to quickly reconstruct a 3D vertebra model from medical CT vertebra images. This method first classifies CT data, assigns corresponding color values and opacity transfer functions to different types of data, and then uses inverse distance-weighted interpolation (IDWI) sampling to replace the trilinear interpolation sampling method for the voxel where the sampling point is located to accelerate the interpolation operation. The color value and opacity of the sampling points are obtained, and finally, the attributes of all the sampling points are synthesized and calculated to obtain the final rendering effect, and the reconstruction of the three-dimensional vertebra model is completed. Experimental results show that the proposed method not only can obtain higher quality rendered images but also has a certain improvement in rendering speed compared with traditional algorithms.

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Section: Related Workmentioning

confidence: 99%

Research on Improved Ray Casting Algorithm and Its Application in Three‐Dimensional Reconstruction

Jia

Chen

Wang

2021

Shock and Vibration

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“…11 However, iterative reconstruction techniques are known to be more flexible and can incorporate statistics, physical models and a priori knowledge. 12 This can be used to create more exact results, which is especially important when using a projection based motion correction method. In this context it is noteworthy that CBCTs do not produce standardized gray values in the sense of e.g.…”

Section: Introductionmentioning

confidence: 99%

Motion correction for separate mandibular and cranial movements in cone beam CT reconstructions

et al. 2023

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Background: Patient motions are a repeatedly reported phenomenon in oral and maxillofacial cone beam CT scans, leading to reconstructions of limited usability. In certain cases, independent movements of the mandible induce unpredictable motion patterns. Previous motion correction methods are not able to handle such complex cases of patient movements. Purpose: Our goal was to design a combined motion estimation and motion correction approach for separate cranial and mandibular motions, solely based on the 2D projection images from a single scan. Methods: Our iterative three-step motion correction algorithm models the two articulated motions as independent rigid motions. First of all, we segment cranium and mandible in the projection images using a deep neural network. Next, we compute a 3D reconstruction with the poses of the object's trajectories fixed. Third, we improve all poses by minimizing the projection error while keeping the reconstruction fixed.Step two and three are repeated alternately. Results: We find that our marker-free approach delivers reconstructions of up to 85% higher quality, with respect to the projection error, and can improve on already existing techniques, which model only a single rigid motion. We show results of both synthetic and real data created in different scenarios. The reconstruction of motion parameters in a real environment was evaluated on acquisitions of a skull mounted on a hexapod, creating a realistic, easily reproducible motion profile. Conclusions: The proposed algorithm consistently enhances the visual quality of motion impaired cone beam computed tomography scans, thus eliminating the need for a re-scan in certain cases, considerably lowering radiation dosage for the patient. It can flexibly be used with differently sized regions of interest and is even applicable to local tomography.

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An efficient GPU acceleration technique for CBCT based on memory aware optimization scheme

Youness

Abbas

Hassan

2022

Ain Shams Engineering Journal

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A framework for 3D x-ray CT iterative reconstruction using GPU-accelerated ray casting

Cited by 3 publications

References 3 publications

Research on Improved Ray Casting Algorithm and Its Application in Three‐Dimensional Reconstruction

Research on Improved Ray Casting Algorithm and Its Application in Three‐Dimensional Reconstruction

Motion correction for separate mandibular and cranial movements in cone beam CT reconstructions

An efficient GPU acceleration technique for CBCT based on memory aware optimization scheme

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