Virtual Liver Surgical Simulator by Using Z-Buffer for Object Deformation

Onishi, K.; Noborio, Hiroshi; Koeda, Masanao; Watanabe, Kaoru; Mizushino, Kiminori; Kunii, Takahiro; Kaibori, Masaki; Matsui, Kosuke; Kon, Masanori

doi:10.1007/978-3-319-20684-4_34

Cited by 13 publications

(2 citation statements)

References 5 publications

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“…From this embedding, for example, an artificial sense of touch is constructed with the Kelvin-Voigt model, which can be experienced through a tactile feedback device. Furthermore, the polyhedra can be rapidly transformed in response to the embedded region, allowing the concave region to become visible [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

Omni-Directional Shortest Distance Algorithm by Complete Parallel-Processing Based on GPU Cores

Noborio¹,

Kunii²,

Mizushino³

2018

IJBBB

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Abstract:We propose a new algorithm for calculating the 3D omni-directional minimum distance from the cavitron ultrasonic surgical aspirator (CUSA) tip to blood vessels. The distance is selected from many shorter distances calculated by the GPU cores for many pixels. First, we use z-buffering (depth buffering) as the classic matured function of the GPU to effectively obtain depths (the distances to blood vessels) corresponding to many pixels. Second, we calculate the Euclidean distance from the scalpel tip to the closest z-values of the depths by multiple GPU cores for all pixels. The many pixels are prepared within a cubic region overlapped by six rectangular parallelepipeds along the +X, -X, +Y, -Y, +Z, and -Z axes centered at the CUSA tip. In this algorithm, all cores are not distinguished within six cubes. Finally, we evaluate the algorithm performance with regard to calculation time and visual reality using an inexpensive GPU (GTX950). Our experimental results show that the calculation time is twice as fast, and the visual reality is also improved.Key words: CUSA (cavitron ultrasonic surgical aspirator), DICOM (digital imaging and communication in medicine), GPGPU (general-purpose graphics processing unit), STL (STereo-lithographies), Z-buffering (depth buffering).

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Section: Introductionmentioning

confidence: 99%

Omni-Directional Shortest Distance Algorithm by Complete Parallel-Processing Based on GPU Cores

Noborio¹,

Kunii²,

Mizushino³

2018

IJBBB

Self Cite

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“…From this embedding, for example, an artificial sense of touch is constructed with the Kelvin-Voigt model, and this can be experienced through a tactile feedback device. Further, the polyhedra can be rapidly transformed in response to the embedded region, and the concave region becomes visible (Noborio et al, 2013;Onishi et al, 2014;Onishi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Comparison of GPU-based and CPU-based Algorithms for Determining the Minimum Distance between a CUSA Scalper and Blood Vessels

Noborio

Kunii²,

Mizushino³

2016

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

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In this study, we have designed a GPGPU (General-Purpose Graphics Processing Unit)-based algorithm for determining the minimum distance from the tip of a CUSA (Cavitron Ultrasonic Surgical Aspirator) scalpel to the closest point around three types of blood vessel STLs (STereo-Lithographies). The algorithm consists of the following two functions: First, we use z-buffering (depth buffering) as the classic matured function of the GPU in order to effectively obtain depths corresponding to image pixels. Second, we use multiple cores of the GPU for parallel processing so as to calculate the minimum Euclidean distance from the scalpel tip to the closest z-values of the depths. Therefore, the complexity of the GPU-based algorithm does not depend on the shape complexity (e.g., patch, edge, and vertex numbers) of the blood vessels.

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Comparative Study of Potential-Based and Sensor-Based Surgical Navigation in Several Liver Environments

Kunii¹,

Asano

Fujita

et al. 2021

Lecture Notes in Computer Science

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Virtual Liver Surgical Simulator by Using Z-Buffer for Object Deformation

Cited by 13 publications

References 5 publications

Omni-Directional Shortest Distance Algorithm by Complete Parallel-Processing Based on GPU Cores

Omni-Directional Shortest Distance Algorithm by Complete Parallel-Processing Based on GPU Cores

Comparison of GPU-based and CPU-based Algorithms for Determining the Minimum Distance between a CUSA Scalper and Blood Vessels

Comparative Study of Potential-Based and Sensor-Based Surgical Navigation in Several Liver Environments

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