Article
Multidisciplinary Sciences
Changhwan Kim, Hojae Kim, Sung-woo Kim, Youngmoon Goh, Min-jae Park, Hojin Kim, Chiyoung Jeong, Byungchul Cho, Eun Kyung Choi, Sang-wook Lee, Sang Min Yoon, Su Ssan Kim, Jin-hong Park, Jinhong Jung, Si Yeol Song, Jungwon Kwak
Summary: This study aims to quantify and reduce the uncertainties of four-dimensional computed tomography (4DCT) induced by irregular respiratory patterns. A new 4DCT sorting method was proposed based on a comparative study on quantitative indicators for residual motion artefacts (RMA). The proposed method, which introduced additional amplitude information and a quantitative metric for RMA, improved the performance of reducing 4DCT uncertainties by about 18.8%.
Article
Medicine, General & Internal
Guang Li, Admir Sehovic, Lee Xu, Pawas Shukla, Lei Zhang, Ying Zhou, Ping Wang, Abraham Wu, Andreas Rimner, Pengpeng Zhang
Summary: This study evaluates the impact of irregular breathing patterns on tumor targeting and treatment quality in lung cancer patients, and suggests strategies for addressing this issue.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Engineering, Biomedical
Xiao Liang, Shan Lin, Fei Liu, Dimitri Schreiber, Michael Yip
Summary: This article introduces an Ordinary Differential Equations (ODE)-based recursive image registration network for deformable image registration in 4D medical data, achieving good accuracy and computation efficiency. It has significant implications in respiratory motion estimation for treatment planning and robot motion planning in medical procedures.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Marine
Xiaoning Jiang, Yan Lin
Summary: This paper proposes a methodology of reparameterizing B-spline surfaces and utilizing a fast progressive-iterative approximation method to refit section curves or isoparametric curves, achieving the reconstruction of ship hull surfaces.
Article
Engineering, Marine
Kaige Zhu, Guoyou Shi, Jiao Liu, Jiahui Shi
Summary: This study proposes a fast reconstruction model with uniform continuity for ship hull nonuniform rational B-spline (NURBS) surfaces, aiming to solve the problem of uniform continuity and splicing in the separate model of hull bow and stern surfaces. The results of comparative experiments show that the proposed model can accurately express the characteristics of various parts of the hull with uniform continuity, and the calculation speed can be increased by up to 8.314% compared with existing algorithms.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alisha Duetschler, Grzegorz Bauman, Oliver Bieri, Philippe C. Cattin, Stefanie Ehrbar, Georg Engin-Deniz, Alina Giger, Mirjana Josipovic, Christoph Jud, Miriam Krieger, Damien Nguyen, Gitte F. Persson, Rares Salomir, Damien C. Weber, Antony J. Lomax, Ye Zhang
Summary: This study developed a set of numerical 4D lung phantoms based on real imaging and motion data, which accurately represent the anatomy and motion scenarios of the human body and provide corresponding ground truth deformation vector fields. These numerical models can be used for the development of new 4D treatment strategies, 4D dose calculations, validation of deformable image registration (DIR) algorithms, as well as simulations of motion mitigation and different online image guidance techniques for both proton and photon radiation therapy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Abdallah Qubala, Jehad Shafee, Vania Batista, Jakob Liermann, Marcus Winter, Daniel Piro, Oliver Jaekel
Summary: SimRT demonstrates more precise and stable reproduction of breathing patterns compared to Anzai, without the need for physical devices on the patient's body.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2023)
Article
Engineering, Biomedical
S. Annunziata, M. Rabe, A. Vai, S. Molinelli, A. Nakas, G. Meschini, A. Pella, V. Vitolo, A. Barcellini, S. Imparato, M. Ciocca, E. Orlandi, G. Landry, F. Kamp, C. Kurz, G. Baroni, M. Riboldi, C. Paganelli
Summary: This study validated a method for generating virtual 4DCT from 4DMRI data for lung cancer patients undergoing particle therapy (PT). The method utilized image registration and deformation to create virtual 4DCT, which showed good correspondence with re-evaluation 4DCT. The results demonstrated the accuracy and applicability of the method in a clinical scenario.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Environmental Sciences
Vincenzo Saverio Alfio, Domenica Costantino, Massimiliano Pepe, Alfredo Restuccia Garofalo
Summary: This paper introduces a technology based on digital acquisition and high-level data processing for creating three-dimensional models of artistic, architectural, and Cultural Heritage structures. The transformation of point cloud data into models suitable for Finite Element Analysis allows for assessing structural stability and implementing restoration interventions. Using the Colossus of Barletta as a case study, an efficient Scan to FEM process is demonstrated.
Article
Engineering, Multidisciplinary
Elena De Lazzari, Sanne J. van den Boom, Jian Zhang, Fred van Keulen, Alejandro M. Aragon
Summary: Enriched finite element methods have been increasingly used for modeling problems involving material interfaces and cracks. While NURBS can accurately preserve interface geometries, they do not significantly improve the extraction of stress intensity factors for cracked specimens, and the complexity of exact geometry representation outweighs the benefits in low-order elements.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2021)
Article
Engineering, Biomedical
M. Ranjbar, P. Sabouri, S. Mossahebi, A. Sawant, P. Mohindra, G. Lasio, L. D. Timmie Topoleski
Summary: Incorporating fluoroscopic images during treatment can improve motion modeling accuracy in radiotherapy for lung cancer patients, leading to better target position estimation and model fidelity compared to traditional methods based on CT scans.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Engineering, Civil
Lida Zhu, Boling Yan, Yulian Wang, Yichao Dun, Jian Ma, Chunlei Li
Summary: The study introduces a method to obtain machining accuracy information through blade inspection and the process of reconstructing blade contour using measurement point optimization and knot insertion techniques. The results show that the proposed method can better restore the blade contour, with machining error within design tolerance and finishing allowance can be removed.
THIN-WALLED STRUCTURES
(2021)
Article
Biology
Parya Jafari, Sergio Dempsey, Douglas A. Hoover, Elham Karami, Stewart Gaede, Ali Sadeghi-Naini, Ting Yim Lee, Abbas Samani
Summary: This study developed and validated a lung biomechanical model for accurately estimating lung tumor motion and deformation. By processing 4D-CT images of lung cancer patients to create patient-specific models, the effectiveness of the model was demonstrated through comparison of actual and simulated tumor volumes, as well as estimating tumor center of mass errors, showing potential for respiratory motion compensation in radiation therapy applications.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Computer Science, Software Engineering
Alexandra Zimmer, Anna Hilsmann, Wieland Morgenstern, Peter Eisert
Summary: Accurate and temporally consistent modeling of human bodies is crucial for various applications. Our work presents a solution that integrates temporal constraints to improve modeling quality and robustness. Our approach enables the derivation of realistic 3D body models from image sequences and accurately estimates body shape and motion even for challenging movements and poses.
COMPUTATIONAL VISUAL MEDIA
(2023)
Article
Computer Science, Software Engineering
Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy
Summary: This paper proposes a differentiable NURBS module that integrates NURBS representations with deep learning methods. By defining the derivatives of NURBS curves or surfaces, it enables the training of deep learning models through backward evaluation. The module performs well in CAD operations and deep learning applications, and can be directly used in deep learning frameworks requiring NURBS.
COMPUTER-AIDED DESIGN
(2022)
Article
Oncology
Chengyu Shi, Yong Chen, Deborah (Xiangdong) Fang, Christopher Iannuzzi
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
E. Ku, A. Desai, D. Fang, C. Lawrence, C. Iannuzzi, C. Shi
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
A. Desai, Eric Ku, D. Fang, C. Lawrence, C. Iannuzzi, C. Shi
Article
Oncology
Shalin Shah, Erik Holzwanger, Radhika Khwaja, Deborah Fang, Jazmin Figueroa-Bodine, Christopher Iannuzzi, Chengyu Shi
TECHNOLOGY IN CANCER RESEARCH & TREATMENT
(2016)
Article
Computer Science, Interdisciplinary Applications
Sotirios Stathakis, Panayiotis Mavroidis, Chengyu Shi, Jun Xu, Kevin I. Kauweloa, Ganesh Narayanasamy, Niko Papanikolaou
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2014)
Article
Radiology, Nuclear Medicine & Medical Imaging
Luis Alberto Vazquez-Quino, Brian Massingill, Chengyu Shi, Alonso Gutierrez, Carlos Esquivel, Tony Eng, Nikos Papanikolaou, Sotirios Stathakis
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2012)
Article
Radiology, Nuclear Medicine & Medical Imaging
Michael G. Stabin, X. George Xu, Mary A. Emmons, W. Paul Segars, Chengyu Shi, Michael J. Fernald
JOURNAL OF NUCLEAR MEDICINE
(2012)
Article
Oncology
Chengyu Shi, Adam Tazi, Deborah Xiangdong Fang, Christopher Iannuzzi
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
K. Langen, N. Papanikolaou, J. Balog, R. Crilly, D. Followill, S. Goddu, W. Grant, G. Olivera, C. Ramsey, C. Shi
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
M. Fitzpatrick, L. Vazquez-Quino, H. Alkhatib, X. Chen, C. Shi, N. Papanikolaou
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
M. Fitzpatrick, L. Vazquez-Quino, H. Alkhatib, X. Chen, C. Shi, N. Papanikolaou
Article
Radiology, Nuclear Medicine & Medical Imaging
D. Giantsoudi, D. Baltas, A. Karabis, R. Mavroidis, N. Zamboglou, N. Tselis, C. Shi, N. Papanikolaou
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
C. Shi, D. Fang, C. Iannuzzi
Article
Oncology
Luis A. Vazquez Quino, Xiaoming Chen, Mathew Fitzpatrick, Chengyu Shi, Sotirios Stathakis, Alonso Gutierrez, Carlos Esquivel, Panayiotis Mavroidis, Hassan Alkhatib, Niko Papanikolaou
TECHNOLOGY IN CANCER RESEARCH & TREATMENT
(2014)
Article
Engineering, Biomedical
Yaxi Liu, Fan-Chi Su, Martin Szegedi, Lan Lin, Chengyu Shi, Niko Papanikolaou
INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY
(2012)