Using 2- and 2-dimensional seed filling in view lattice to accelerate volumetric rendering

Oikarinen, Jarkko

doi:10.1016/s0097-8493(98)00095-8

Cited by 10 publications

(5 citation statements)

References 16 publications

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“…Construct the geological mesh. The stratigraphic model [ 22 ] is represented on a triangular surface mesh [ 23 – 28 ], but the Kriging interpolation of rock mechanics parameters is performed on volume mesh elements, so it is necessary to convert the triangular mesh geomodel into a volume mesh geomodel [ 29 – 32 ]. In this paper, the hexahedral element is selected as the basic unit, and each stratigraphic layer of the geomodel is constructed by mesh voxelization.…”

Section: Methodsmentioning

confidence: 99%

Research on calibrating rock mechanical parameters with a statistical method

Liu

Guo

et al. 2017

PLoS ONE

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Research on the modeling of rock mechanics parameters is of great significance to the exploration of oil and gas. The use of logging data with the Kriging interpolation to study rock mechanics parameters has been proven to be effective in reservoir prediction and other oilfield applications and can provide additional data. However, there will sometimes be a great deviation due to the limited samples and the strong heterogeneity of a layer. To solve this problem, a new approach was proposed to calibrate rock mechanical models through the statistical analysis of logging data. A module was developed to calibrate rock mechanics parameters automatically, which was then applied to the Wangyao area of the Ansai oilfield. This method significantly improved the accuracy of rock mechanics modeling.

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Section: Methodsmentioning

confidence: 99%

Research on calibrating rock mechanical parameters with a statistical method

Liu

Guo

et al. 2017

PLoS ONE

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“…The 3d visualization in Oulu Neuronavigator System includes four separate displays: planar reconstruction, 3d view (Oikarinen 1997, Oikarinen 1998, navigator arm display, and target overlay.…”

Section: Visualizationmentioning

confidence: 99%

“…A novel fast 3d rendering algorithm was developed (Oikarinen 1998). It is based on flooding in the rendering image.…”

Section: Visualizationmentioning

confidence: 99%

“…One of the primary purposes of simulation is to provide a reference image, a DRR, for treatment verification. (McGee et al 1995) Advanced volume rendering algorithms, such as shear-warp, 2.5-dimensional seed filling (Oikarinen 1998), and ray templates are unable to render DRRs -mainly because they cannot produce divergent geometry. Most often a DRR algorithm (McGee et al 1995, Webb 1997, Westermann & Ertl 1997, Burger & Rensburg 1997) is built using a ray casting method.…”

Section: Virtual Simulationmentioning

confidence: 99%

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Algorithms for modeling anatomic and target volumes in image‐guided neurosurgery and radiotherapy

Alakuijala¹

2002

Medical Physics

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The use of image-guidance in surgery and radiotherapy has significantly improved patient outcome in neurosurgery and radiotherapy treatments. This work developed volume definition and verification techniques for image-guided applications, using a number of algorithms ranging from image processing to visualization.Stereoscopic visualization, volumetric tumor model overlaid on an ultrasound image, and visualization of the treatment geometry were experimented with on a neurosurgical workstation. Visualization and volume definition tools were developed for radiotherapy treatment planning system.The magnetic resonance inhomogeneity correction developed in this work, possibly the first published data-driven method with wide applicability, automatically mitigates the RF field inhomogeneity artefact present in magnetic resonance images. Correcting the RF inhomogeneity improves the accuracy of the generated volumetric models.Various techniques to improve region growing are also presented. The simplex search method and combinatory similarity terms were used to improve the similarity function with a low additional computational cost and high yield in region correctness. Moreover, the effects of different priority queue implementations were studied.A fast algorithm for calculating high-quality digitally reconstructed radiographs has been developed and shown to better meet typical radiotherapy needs than the two alternative algorithms. A novel visualization method, beam's light view, is presented. It uses texture mapping for projecting the fluence of a radiation field on an arbitrary surface.This work suggests several improved algorithms for image processing, segmentation, and visualization used in image-guided treatment systems. The presented algorithms increase the accuracy of image-guidance, which can further improve the applicability and efficiency of imageguided treatments.

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“…The combination of resampling and the seed-filling algorithm 6 enables volume rendering to perform in real time with a reasonable threshold for empty voxels. Volume rendering with wavelet transform 7 is a multilevel rendering algorithm using a 3D wavelet transform that has progressive characteristics.…”

Section: Introductionmentioning

confidence: 99%

Fast surface and volume rendering based on shear-warp factorization for a surgical simulator

Kim

Kwon

et al. 2002

Comput. Aided Surg.

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Fast simultaneous visualization of 3D medical images and medical instruments is necessary for a surgical simulator. Because unconstrained motion of a medical instrument is more frequent than that of the patient, the visualization of medical instruments is performed in real time using surface rendering. However, volume rendering is usually used for realistic visualization of the 3D medical image. We have developed an algorithm to combine a volume-rendered image and a surface-rendered image using a Z-buffer for depth cueing, which is applied to a surgical simulator. Surface rendering is used for visualization of a medical instrument, whereas 3D medical images such as CT and MRI are usually visualized by volume rendering, because segmentation of the medical image is difficult. In this study, when the volume-rendered image is combined with the surface-rendered image, the amount of computation is reduced by early ray termination and instrument-region masking in the sheared image space. Using these methods, a fast combination of volume-rendered and surface-rendered images is performed with high image quality. The method is appropriate for real-time visualization of 3D medical images and medical instrument motion in the images, and can be applied to image-guided therapy and surgical simulators.

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Using 2- and 2-dimensional seed filling in view lattice to accelerate volumetric rendering

Cited by 10 publications

References 16 publications

Research on calibrating rock mechanical parameters with a statistical method

Research on calibrating rock mechanical parameters with a statistical method

Algorithms for modeling anatomic and target volumes in image‐guided neurosurgery and radiotherapy

Fast surface and volume rendering based on shear-warp factorization for a surgical simulator

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