Huang, Guo-Shing Yen, Meng-Hua Chang, Chia-Chun Lai, Chung-Liang Chen, Chi-Chun
Published in
Biomedical Physics & Engineering Express
In this study, an individualized and stable passive-control lower-limb exoskeleton robot was developed. Users’ joint angles and the center of pressure (CoP) of one of their soles were input into a convolutional neural network (CNN)–long short-term memory (LSTM) model to evaluate and adjust the exoskeleton control scheme. The CNN–LSTM model predicte...
Huynh, Bao Ngoc Groendahl, Aurora Rosvoll Tomic, Oliver Liland, Kristian Hovde Knudtsen, Ingerid Skjei Hoebers, Frank van Elmpt, Wouter Dale, Einar Malinen, Eirik Futsaether, Cecilia Marie
...
Published in
Biomedical Physics & Engineering Express
Objective. Target volumes for radiotherapy are usually contoured manually, which can be time-consuming and prone to inter- and intra-observer variability. Automatic contouring by convolutional neural networks (CNN) can be fast and consistent but may produce unrealistic contours or miss relevant structures. We evaluate approaches for increasing the ...
Yengul, Sanjay S Barbone, Paul E Madore, Bruno
Published in
Biomedical Physics & Engineering Express
Background: Dispersion presents both a challenge and a diagnostic opportunity in shear wave elastography (SWE). Shear Wave Rheometry (SWR) is an inversion technique for processing SWE data acquired using an acoustic radiation force impulse (ARFI) excitation. The main advantage of SWR is that it can characterize the shear properties of homogeneous s...
Equbal, Asif Kalita, Paragmoni
Published in
Biomedical Physics & Engineering Express
Vascular diseases are greatly influenced by the hemodynamic parameters and the accuracy of determining these parameters depends on the use of correct boundary conditions. The present work carries out a two-way fluid-structure interaction (FSI) simulation to investigate the effects of outlet pressure boundary conditions on the hemodynamics through t...
Bustillo, John Paul O Posadas, Julia Rebecca D Mata, Jacob L Inocencio, Elrick T Rosenfeld, Anatoly B Lerch, Michael L F
Published in
Biomedical Physics & Engineering Express
Objective. This study aims to design and fabricate a 3D printed heterogeneous paediatric head phantom and to customize a thorax phantom for radiotherapy dosimetry. Approach. This study designed, fabricated, and tested 3D printed radiotherapy phantoms that can simulate soft tissue, lung, brain, and bone. Various polymers were considered in designing...
Borsavage, Jennifer M Cherpak, Amanda J Robar, James L
Published in
Biomedical Physics & Engineering Express
Purpose. This work investigates the small-field dosimetric characteristics of a 2.5 MV sintered diamond target beam and its feasibility for use in linac-based intracranial stereotactic treatments. Due to the increased proportion of low energy photons in the low-Z beam, it was hypothesized that this novel beam would provide sharper dose fall-off com...
Razavi, ZahraSadat Soltani, Madjid Pazoki-Toroudi, Hamidreza Dabagh, Mahsa
Published in
Biomedical Physics & Engineering Express
Purpose. This review aims to highlight current improvements in microfluidic devices designed for digestive cancer simulation. The review emphasizes the use of multicellular 3D tissue engineering models to understand the complicated biology of the tumor microenvironment (TME) and cancer progression. The purpose is to develop oncology research and im...
Bhowmik, W Appasani, B Gorai, A Jha, A K V De, B P Samanta, P K
Published in
Biomedical Physics & Engineering Express
The article presents, for the first time, a terahertz metamaterial absorber (TMA) designed in the shape of a cross consisting of four orthogonally positioned horn-shaped patches in succession, to detect brain cancer cells. The design exhibits the property of mu-negative material, indicating magnetic resonance. The proposed TMA has achieved an impre...
Khodaei, A Moradi, F Oresegun, A Zubair, H T Bradley, D A Ibrahim, S A Abdul-Rashid, H A
Published in
Biomedical Physics & Engineering Express
Radiation therapy plays a pivotal role in modern cancer treatment, demanding precise and accurate dose delivery to tumor sites while minimizing harm to surrounding healthy tissues. Monte Carlo simulations have emerged as indispensable tools for achieving this precision, offering detailed insights into radiation transport and interaction at the suba...
Wang, Wenfeng Mao, Qi Tian, Yi Zhang, Yan Xiang, Zhenwu Ren, Lijia
Published in
Biomedical Physics & Engineering Express
With the advancement of computer-aided diagnosis, the automatic segmentation of COVID-19 infection areas holds great promise for assisting in the timely diagnosis and recovery of patients in clinical practice. Currently, methods relying on U-Net face challenges in effectively utilizing fine-grained semantic information from input images and bridgin...