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Support vector machine guided reproducing kernel particle method for image-based modeling of microstructures

COMPUTATIONAL MECHANICS 2024年第4期73卷 907-942页

作者： Wang, Yanran Baek, Jonghyuk Tang, Yichun Du, Jing Hillman, Mike Chen, Jiun-Shyan Univ Calif San Diego Dept Struct Engn La Jolla CA 92093 USA Penn State Univ Dept Mech Engn University Pk PA 16802 USA Karagozian & Case Inc Glendale CA 91203 USA

This work presents an approach for automating the discretization and approximation procedures in constructing digital representations of composites from micro-CT images featuring intricate microstructures. The proposed method is guided by the Support Vector Machine (SVM) classification, offering an effective approach for discretizing microstructural images. An SVM soft margin training process is introduced as a classification of heterogeneous material points, and image segmentation is accomplished by identifying support vectors through a local regularized optimization problem. In addition, an Interface-Modified Reproducing Kernel Particle Method (IM-RKPM) is proposed for appropriate approximations of weak discontinuities across material interfaces. The proposed method modifies the smooth kernel functions with a regularized Heaviside function concerning the material interfaces to alleviate Gibb's oscillations. This IM-RKPM is formulated without introducing duplicated degrees of freedom associated with the interface nodes commonly needed in the conventional treatments of weak discontinuities in the meshfree methods. Moreover, IM-RKPM can be implemented with various domain integration techniques, such as Stabilized Conforming Nodal Integration (SCNI). The extension of the proposed method to 3-dimension is straightforward, and the effectiveness of the proposed method is validated through the image-based modeling of polymer-ceramic composite microstructures.

关键词： image-based modeling Support vector machine Reproducing kernel particle method Weak discontinuity Microstructures

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A Photogrammetry-based Framework to Facilitate image-based modeling and Automatic Camera Tracking 16

A Photogrammetry-based Framework to Facilitate Image-based M...

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16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 16th International Conference on Computer Graphics Theory and Applications (GRAPP)

作者： Bullinger, Sebastian Bodensteiner, Christoph Arens, Michael Fraunhofer IOSB Dept Object Recognit Ettlingen Germany

ISBN: (纸本)9789897584886

We propose a framework that extends Blender to exploit Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques for image-based modeling tasks such as sculpting or camera and motion tracking. Applying SfM allows us to determine camera motions without manually defining feature tracks or calibrating the cameras used to capture the image data. With MVS we are able to automatically compute dense scene models, which is not feasible with the built-in tools of Blender. Currently, our framework supports several state-of-the-art SfM and MVS pipelines. The modular system design enables us to integrate further approaches without additional effort. The framework is publicly available as an open source software package.

关键词： image-based modeling Camera Tracking Photogrammetry Structure from Motion Multi-view Stereo Blender

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image-based computer modeling assessment of microwave ablation for treatment of adrenal tumors

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INTERNATIONAL JOURNAL OF HYPERTHERMIA 2022年第1期39卷 1264-1275页

作者： Sebek, Jan Cappiello, Grazia Rahmani, George Zeinali, Nooshin Keating, Muireann Fayemiwo, Michael Harkin, Jim McDaid, Liam Gardiner, Bryan Sheppard, Declan Senanayake, Russell Gurnell, Mark O'Halloran, Martin Dennedy, M. Conall Prakash, Punit Kansas State Univ Mike Wiegers Dept Elect & Comp Engn 3078 Engn Hall1701D Platt St Manhattan KS 66506 USA Natl Univ Ireland Translat Med Devices Lab Galway Ireland Galway Univ Hosp Dept Radiol Galway Ireland Natl Univ Ireland Sch Med Galway Ireland Ulster Univ Sch Comp Engn & Intelligent Syst Derry Londonderry North Ireland Univ Cambridge Inst Metab Sci Cambridge England

Purpose To assess the feasibility of delivering microwave ablation for targeted treatment of aldosterone producing adenomas using image-based computational models. Methods We curated an anonymized dataset of diagnostic C-11-metomidate PET/CT images of 14 patients with aldosterone producing adenomas (APA). A semi-automated approach was developed to segment the APA, adrenal gland, and adjacent organs within 2 cm of the APA boundary. The segmented volumes were used to implement patient-specific 3D electromagnetic-bioheat transfer models of microwave ablation with a 2.45 GHz directional microwave ablation applicator. Ablation profiles were quantitatively assessed based on the extent of the APA target encompassed by an ablative thermal dose, while limiting thermal damage to the adjacent normal adrenal tissue and sensitive critical structures. Results Across the 14 patients, adrenal tumor volumes ranged between 393 mm(3) and 2,395 mm(3). On average, 70% of the adrenal tumor volumes received an ablative thermal dose of 240CEM43, while limiting thermal damage to non-target structures, and thermally sparing 83.5-96.4% of normal adrenal gland. Average ablation duration was 293 s (range: 60-600 s). Simulations indicated coverage of the APA with an ablative dose was limited when the axis of the ablation applicator was not well aligned with the major axis of the targeted APA. Conclusions image-based computational models demonstrate the potential for delivering microwave ablation to APA targets within the adrenal gland, while limiting thermal damage to surrounding non-target structures.

关键词： image-based modeling microwave ablation aldosterone-producing adenomas patient-specific modeling thermal damage

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Application and Research of image-based modeling and 3D Printing Technology in Intangible Cultural Heritage Quanzhou Marionette Protection 43

Application and Research of Image-Based Modeling and 3D Prin...

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43rd IEEE-Computer-Society Annual International Computers, Software and Applications Conference (COMPSAC)

作者： Gao, Chao Yao, Junfeng Huang, Kaini Qian, Kai Xiamen Univ Ctr Digital Media Comp Software Sch Xiamen Peoples R China Kennesaw State Univ Coll Comp & Software Engn Kennesaw GA 30144 USA

ISBN: (纸本)9781728126074

We present a practical solution to the modeling improvements for Quanzhou Marionette in 3D printing. We use 3D printing technology to improve the marionette production process. We have completed rapid image-based modeling to aid in design. According to the actual situation, the special parts such as marionette heads and joints are modeled and improved. The experiment proves the advantages of 3D printing in marionette production. 3D printing can be used as a production tool method for the protection and inheritance of intangible cultural heritage.

关键词： Marionette 3D Printing image-based modeling

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An Introductory Overview of image-based Computational modeling in Personalized Cardiovascular Medicine

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FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY 2020年 8卷 529365页

作者： Nguyen, Thanh Danh Kadri, Olufemi E. Voronov, Roman S. New Jersey Inst Technol Newark Coll Engn Otto H York Dept Chem & Mat Engn Newark NJ 07102 USA Univ Cincinnati UC P&G Simulat Ctr Cincinnati OH USA New Jersey Inst Technol Dept Biomed Engn Newark Coll Engn Newark NJ 07102 USA

Cardiovascular diseases account for the number one cause of deaths in the world. Part of the reason for such grim statistics is our limited understanding of the underlying mechanisms causing these devastating pathologies, which is made difficult by the invasiveness of the procedures associated with their diagnosis (e.g., inserting catheters into the coronal artery to measure blood flow to the heart). Likewise, it is also difficult to design and test assistive devices without implanting themin vivo. However, with the recent advancements made in biomedical scanning technologies and computer simulations, image-based modeling (IBM) has arisen as the next logical step in the evolution of non-invasive patient-specific cardiovascular medicine. Yet, due to its novelty, it is still relatively unknown outside of the niche field. Therefore, the goal of this manuscript is to review the current state-of-the-art and the limitations of the methods used in this area of research, as well as their applications to personalized cardiovascular investigations and treatments. Specifically, the modeling of three different physics - electrophysiology, biomechanics and hemodynamics - used in the cardiovascular IBM is discussed in the context of the physiology that each one of them describes and the mechanisms of the underlying cardiac diseases that they can provide insight into. Only the "bare-bones" of the modeling approaches are discussed in order to make this introductory material more accessible to an outside observer. Additionally, the imaging methods, the aspects of the unique cardiac anatomy derived from them, and their relation to the modeling algorithms are reviewed. Finally, conclusions are drawn about the future evolution of these methods and their potential toward revolutionizing the non-invasive diagnosis, virtual design of treatments/assistive devices, and increasing our understanding of these lethal cardiovascular diseases.

关键词： image-based modeling personalized cardiovascular medicine cardio electromechanics hemodynamics thrombogenesis simulation biomechanics heart

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From image-based modeling to the modeling of Imaging with the Virtual Population 1st

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1st International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI)

作者： Neufeld, Esra Lloyd, Bryn Kuster, Niels ITIS Fdn Res Informat Technol Soc CH-8004 Zurich Switzerland Swiss Fed Inst Technol ETHZ CH-8092 Zurich Switzerland

ISBN: (纸本)9783319466309;9783319466293

image data has been used to create the Virtual Population models, a range of highly detailed anatomical models (male/female,neonates/children/adults/ elderly, average build/obese) which have been found to be useful for a wide range of computational life sciences applications. They are at the core of the Sim4Life simulation platform. Different image modalities provide a wealth of information enabling model functionalization by facilitating anatomy parameterization and animation, consideration of tissue inhomogeneity, imposition of realistic boundary conditions, and integration of dynamic physiological models. Closing the circle, these functionalized anatomical models have also been used to generate virtual image data, particularly by simulating MR imaging. Thus, image data can be produced under controlled conditions and with known base-anatomy for different pulse sequences. Virtual imaging has been used to study different imaging artefacts.

关键词： Virtual Population Anatomical phantoms image-based modeling Model functionalization MRI simulation

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A Data-driven Approach to Four-view image-based Hair modeling

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ACM TRANSACTIONS ON GRAPHICS 2017年第4期36卷 1-11页

作者： Zhang, Meng Chai, Menglei Wu, Hongzhi Yang, Hao Zhou, Kun Zhejiang Univ State Key Lab CAD & CG Hangzhou Zhejiang Peoples R China

We introduce a novel four-view image-based hair modeling method. Given four hair images taken from the front, back, left and right views as input, we first estimate the rough 3D shape of the hair observed in the input using a predefined database of 3D hair models, then synthesize a hair texture on the surface of the shape, from which the hair growing direction information is calculated and used to construct a 3D direction field in the hair volume. Finally, we grow hair strands from the scalp, following the direction field, to produce the 3D hair model, which closely resembles the hair in all input images. Our method does not require that all input images are from the same hair, enabling an effective way to create compelling hair models from images of considerably different hairstyles at different views. We demonstrate the efficacy of our method using a wide range of examples.

关键词： hair modeling image-based modeling patch-based texture synthesis

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image-based modeling: A novel tool for realistic simulations of artificial bone cultures

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TECHNOLOGY 2016年第4期4卷 229-233页

作者： Alam, Taseen A. Pham, Quang L. Sikavitsas, Vassilios I. Papavassiliou, Dimitrios V. Shambaugh, Robert L. Voronov, Roman S. New Jersey Inst Technol Otto H York Dept Chem Biol & Pharmaceut Engn Newark NJ 07102 USA Univ Oklahoma Stephenson Sch Biomed Engn W Boyd Carson Engn Ctr 202 Room 107 Norman OK 73019 USA Univ Oklahoma Sch Chem Biol & Mat Engn 100 East BoydSEC T-335 Norman OK 73019 USA

Computational modeling has been promulgated as a means of optimizing artificial bone tissue culturing ex vivo. In the present report, we show, as a proof-of-concept, that it is possible to model the exact microenvironment within the scaffolds while accounting for their architectural complexities and the presence of cells/tissues in their pores. Our results clearly indicate that image-based modeling has the potential to be a powerful tool for computer-assisted tissue engineering.

关键词： Computer-Assisted Bone Tissue Engineering Lattice Boltzmann Method Scaffold Culture Simulation Micro-CT Imaging image-based modeling

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image-based 3D modeling as a damage prioritization tool for historic buildings in post-disaster areas: The case of the 2020 Beirut blast

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JOURNAL OF CULTURAL HERITAGE 2023年第1期62卷 314-321页

作者： Kallas, Joe Napolitano, Rebecca Penn State Univ Dept Architectural Engn University Pk PA 16802 USA

On August 4th, 2020, a colossal blast at the port of the Lebanese capital, one of the largest in history not caused by a nuclear reaction, changed Beirut's historic neighborhoods within seconds from a busy, vibrant and living cultural hub into an urban fabric of shattered buildings, collapsed masonry walls and scratched pitched roofs. With not enough preparedness for such a calamitous event, the affected local community faced significant challenges as they attempted to recover from the damage done. Once a heritage site is lost, damaged or destroyed, the recovery and rehabilitation process is slow, if (at all) possible. In the wake of such events, there has been a growing interest to digitize historic sites and buildings to preserve them (digitally) against unforeseen threats such as natural or man-made disasters. However, little work has been done to explore the role of 3D documentation for post-blast inspection of masonry historic buildings. The objective of this work is to expose an efficient workflow for accelerating the assessment process of damaged historic buildings by the application of digital technology in post-disaster areas, through the case study on the Beirut Blast. The originality of this work resides in the fact that this was the first time ever that Beirut and its historic buildings were massively digitized. This paper outlines how and why 3D image-based modeling was implemented, emphasizing on the timely benefits for disaster recovery and improvement of decision making in a similar emergency case. The results of the documentation produced a fast yet accurate 3D models of the affected historic buildings in Beirut, despite the challenging structural properties of the post-blast built environment. Post-processing of the data provided cultural heritage experts and engineers with valuable documents for structural deficiencies, damages and accessibility, which facilitated the remote assessment of the buildings and accelerated the implementation of emergen

关键词： Beirut image-based modeling Photogrammetry Disaster recovery Cultural heritage Post -blast inspection

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modeling Fibrous Tissue in Vascular Fluid-Structure Interaction: A Morphology-based Pipeline and Biomechanical Significance

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INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2025年第1期41卷 e3892页

作者： Sun, Yujie Huang, Jiayi Lu, Qingshuang Yue, Xinhai Huang, Xuanming He, Wei Shi, Yun Liu, Ju Southern Univ Sci & Technol Dept Mech & Aerosp Engn Shenzhen Guangdong Peoples R China Fudan Univ Zhongshan Hosp Inst Vasc Surg Dept Vasc Surg Shanghai Peoples R China

modeling fibrous tissue for vascular fluid-structure interaction analysis poses significant challenges due to the lack of effective tools for preparing simulation data from medical images. This limitation hinders the physiologically realistic modeling of vasculature and its use in clinical settings. Leveraging an established lumen modeling strategy, we propose a comprehensive pipeline for generating thick-walled artery models. A specialized mesh generation procedure is developed to ensure mesh continuity across the lumen and wall interface. Exploiting the centerline information, a series of procedures are introduced for generating local basis vectors within the arterial wall. The procedures are tailored to handle thick-walled tissues where basis vectors may exhibit transmural variations. Additionally, we propose methods for accurately identifying the centerline in multi-branched vessels and bifurcating regions. These modeling approaches are algorithmically implementable, rendering them readily integrable into mainstream cardiovascular modeling software. The developed fiber generation method is evaluated against the strategy using linear elastostatics analysis, demonstrating that the proposed approach yields satisfactory fiber definitions in the considered benchmark. Finally, we examine the impact of anisotropic arterial wall models on the vascular fluid-structure interaction analysis through numerical examples, employing the neo-Hookean model for comparative purposes. The first case involves an idealized curved geometry, while the second studies an image-based abdominal aorta model. Our numerical results reveal that the deformation and stress distribution are critically related to the constitutive model of the wall, whereas hemodynamic factors are less sensitive to the wall model. This work paves the way for more accurate image-based vascular modeling and enhances the prediction of arterial behavior under physiologically realistic conditions.

关键词： anisotropic material model fluid-structure interaction image-based modeling patient-specific simulation vascular biomechanics

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