Articles

Ultrasonic signal detection based on Fabry–Perot cavity sensor

Acoustic/ultrasonic sensors are devices that can convert mechanical energy into electrical signals. The Fabry–Perot cavity is processed on the end face of the double-clad fiber by a two-photon three-dimensiona...

Authors: Wu Yang, Chonglei Zhang, Jiaqi Zeng and Wei Song

Recovery of photoacoustic images based on accurate ultrasound positioning

Photoacoustic microscopy is an in vivo imaging technology based on the photoacoustic effect. It is widely used in various biomedical studies because it can provide high-resolution images while being label-free...

Authors: Yinhao Pan, Ningbo Chen, Liangjian Liu, Chengbo Liu, Zhiqiang Xu and Jianhui Zhang

Review recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation

Photoacoustic (PA) imaging has been widely used in biomedical research and preclinical studies during the past two decades. It has also been explored for nondestructive testing and evaluation (NDT/E) and for i...

Authors: Sung-Liang Chen and Chao Tian

A language to analyze, describe, and explore collections of visual art

A vast quantity of art in existence today is inaccessible to individuals. If people want to know the different types of art that exist, how individual works are connected, and how works of art are interpreted ...

Authors: Hermann Pflüger

Improvement in resolution of fiber-laser photoacoustic tomography based on a virtual-point concept

In this study, a virtual-point concept was introduced into fiber-laser photoacoustic tomography to improve the elevational image resolution. The flexible fiber laser was bent into an arc shape to conform to th...

Authors: Xue Bai, Xu Li, Jun Ma and Bai-Ou Guan

Visual analysis of flow and diffusion of hemolytic agents and hematomas

The elimination of intracranial hematomas has received widespread attention and the interactions between hemolytic agents and hematomas have become a hot research topic. In this study, we used the Navier-Stoke...

Authors: Yafei Zhu, Mengyao Bao, Miaomiao Jiang, Jincai Chang and Jianzhong Cui

Correction to: Classes of tree-based networks

An amendment to this paper has been published and can be accessed via the original article.

Authors: Mareike Fischer, Lina Herbst, Michelle Galla, Yangjing Long and Kristina Wicke

High-speed high-resolution laser diode-based photoacoustic microscopy for in vivo microvasculature imaging

Laser diodes (LDs) have been considered as cost-effective and compact excitation sources to overcome the requirement of costly and bulky pulsed laser sources that are commonly used in photoacoustic microscopy ...

Authors: Xiufeng Li, Victor T C Tsang, Lei Kang, Yan Zhang and Terence T W Wong

Correction to: Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy

An amendment to this paper has been published and can be accessed via the original article.

Authors: Yuanzheng Ma, Chang Lu, Kedi Xiong, Wuyu Zhang and Sihua Yang

Modified distance regularized level set evolution for brain ventricles segmentation

Neurodegenerative disorders are commonly characterized by atrophy of the brain which is caused by neuronal loss. Ventricles are one of the prominent structures in the brain; their shape changes, due to their c...

Authors: Thirumagal Jayaraman, Sravan Reddy M., Manjunatha Mahadevappa, Anup Sadhu and Pranab Kumar Dutta

Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potential-inducing periodic facial expression stimuli presentation

Brain oscillations are vital to cognitive functions, while disrupted oscillatory activity is linked to various brain disorders. Although high-frequency neural oscillations (> 1 Hz) have been extensively studie...

Authors: Meng-Yun Wang, Anzhe Yuan, Juan Zhang, Yutao Xiang and Zhen Yuan

Modeling of moral decisions with deep learning

One example of an artificial intelligence ethical dilemma is the autonomous vehicle situation presented by Massachusetts Institute of Technology researchers in the Moral Machine Experiment. To solve such dilemmas...

Authors: Christopher Wiedeman, Ge Wang and Uwe Kruger

Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s disease

Alzheimer’s disease (AD) is the most common type of dementia. The exact cause and treatment of the disease are still unknown. Different neuroimaging modalities, such as magnetic resonance imaging (MRI), positr...

Authors: Binny Naik, Ashir Mehta and Manan Shah

Exploration of nature-based biomimetic approach in landscape architectural design: parametric study of candelabra model design

This research provides an exploration of a biomimetic approach in the process of designing a candelabra model using linear shaped leaves of a Bell flower. The design process described in this research contains...

Authors: Biljana S. Jović and Anđela D. Mitić

Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology

Photoacoustic imaging (PAI) is often performed simultaneously with ultrasound imaging and can provide functional and cellular information regarding the tissues in the anatomical markers of the imaging. This pa...

Authors: Shanshan Wang, Yunfeng Zhao and Ye Xu

Visual order of Chinese ink paintings

Visual order is one of the key factors influencing the aesthetic judgment of artworks. This paper reports the results of evaluating the influence of extracted features on visual order in Chinese ink paintings,...

Authors: Zhen-Bao Fan and Kang Zhang

Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy

A micro-electromechanical system (MEMS) scanning mirror accelerates the raster scanning of optical-resolution photoacoustic microscopy (OR-PAM). However, the nonlinear tilt angular-voltage characteristic of a ...

Authors: Yuanzheng Ma, Chang Lu, Kedi Xiong, Wuyu Zhang and Sihua Yang

Systematic review and meta-analysis of augmented reality in medicine, retail, and games

This paper presents a detailed review of the applications of augmented reality (AR) in three important fields where AR use is currently increasing. The objective of this study is to highlight how AR improves a...

Authors: Pranav Parekh, Shireen Patel, Nivedita Patel and Manan Shah

Streamline pair selection for comparative flow field visualization

Fluid dynamics simulation is often repeated under varying conditions. This leads to a generation of large amounts of results, which are difficult to compare. To compare results under different conditions, it i...

Authors: Shoko Sawada, Takayuki Itoh, Takashi Misaka, Shigeru Obayashi, Tobias Czauderna and Kingsley Stephens

Conversion of adverse data corpus to shrewd output using sampling metrics

An imbalanced dataset is commonly found in at least one class, which are typically exceeded by the other ones. A machine learning algorithm (classifier) trained with an imbalanced dataset predicts the majority...

Authors: Shahzad Ashraf, Sehrish Saleem, Tauqeer Ahmed, Zeeshan Aslam and Durr Muhammad

Efficient object location determination and error analysis based on barycentric coordinates

In this paper, we propose an efficient computational method for converting local coordinates to world coordinates using specially structured coordinate data. The problem in question is the computation of world...

Authors: Andrea Bodonyi and Roland Kunkli

Implementation and experiments for interactive lyrics transcreation system

The evolution of the Internet has enabled us to enjoy the music created in various countries. But still, it is often difficult to understand the lyrics written in foreign languages. Professional translators ha...

Authors: Ayano Nishimura and Takayuki Itoh

Projection-domain iteration to estimate unreliable measurements

Due to the beam-hardening effect of the broad energy spectrum of the X-ray source in computed tomography, the reconstructed images usually suffer from severe artifacts when metallic objects are being imaged. M...

Authors: Gengsheng L. Zeng

A digital assistant for shading paper sketches

We present a mixed reality-based assistive system for shading paper sketches. Given a paper sketch made by an artist, our interface helps inexperienced users to shade it appropriately. Initially, using a simpl...

Authors: Amal Dev Parakkat, Hari Hara Gowtham, Sarang Joshi and Ramanathan Muthuganapathy

Bibliometric review of visual computing in the construction industry

In the construction area, visuals such as drawings, photos, videos, and 3D models, play a significant role in the design, build and maintenance of a facility, bringing efficiency to generate, transfer, and sto...

Authors: Heng-Wei Wang, Zhen-Zhong Hu and Jia-Rui Lin

Pre-filter that incorporates the noise model

A linear denoising filter is usually of lowpass type, and the main parameter in a lowpass filter is the cutoff frequency. The lowpass filters are normally shift invariant and can be implemented as convolution ...

Authors: Gengsheng L. Zeng

Classes of tree-based networks

Recently, so-called tree-based phylogenetic networks have attracted considerable attention. These networks can be constructed from a phylogenetic tree, called the base tree, by adding additional edges. The pri...

Authors: Mareike Fischer, Michelle Galla, Lina Herbst, Yangjing Long and Kristina Wicke

Software development for modeling irregular fine protrusions formed by sputter etching

Irregular fine protrusions formed on the surface of a mechanical part through biomimetic technology can enhance the part’s properties, including tribology, self-cleaning, and light absorption. However, underly...

Authors: Sande Gao, Keijiro Nakasa and Loulin Huang

Poisson-noise weighted filter for time-of-flight positron emission tomography

Image reconstruction for list-mode time-of-flight (TOF) positron emission tomography (PET) can be achieved by analytic algorithms. The backprojection filtering (BPF) algorithm is an efficient algorithm for thi...

Authors: Gengsheng L. Zeng, Li Lv and Qiu Huang

Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors

The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based. They are iterative algorithms that optimize objective functions with spatial and/or tempo...

Authors: Gengsheng L. Zeng and Edward V. DiBella

Correction to: Hybrid image of three contents

In the original publication of this article [1], the Figs. 3 and 4 are not clear enough. They are adjusted the size and showed as below:

Authors: Peeraya Sripian and Yasushi Yamaguchi

Fused behavior recognition model based on attention mechanism

With the rapid development of deep learning technology, behavior recognition based on video streams has made great progress in recent years. However, there are also some problems that must be solved: (1) In or...

Authors: Lei Chen, Rui Liu, Dongsheng Zhou, Xin Yang and Qiang Zhang

Review of heterogeneous material objects modeling in additive manufacturing

This review investigates the recent developments of heterogeneous objects modeling in additive manufacturing (AM), as well as general problems and widespread solutions to the modeling methods of heterogeneous ...

Authors: Bin Li, Jianzhong Fu, Jiawei Feng, Ce Shang and Zhiwei Lin

Analytic time-of-flight positron emission tomography reconstruction: three-dimensional case

In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is a...

Authors: Gengsheng L. Zeng, Ya Li and Qiu Huang

Hybrid image of three contents

A hybrid image allows multiple image interpretations to be modulated by the viewing distance. Originally, it can be constructed by combining the low and high spatial frequencies of two different images. The or...

Authors: Peeraya Sripian and Yasushi Yamaguchi

Painting image browser applying an associate-rule-aware multidimensional data visualization technique

Exploration of artworks is enjoyable but often time consuming. For example, it is not always easy to discover the favorite types of unknown painting works. It is not also always easy to explore unpopular paint...

Authors: Ayaka Kaneko, Akiko Komatsu, Takayuki Itoh and Florence Ying Wang

Research on a bifurcation location algorithm of a drainage tube based on 3D medical images

Based on patient computerized tomography data, we segmented a region containing an intracranial hematoma using the threshold method and reconstructed the 3D hematoma model. To improve the efficiency and accura...

Authors: Qiuling Pan, Wei Zhu, Xiaolin Zhang, Jincai Chang and Jianzhong Cui

Novel indoor positioning system based on ultra-wide bandwidth

To tackle challenges such as interference and poor accuracy of indoor positioning systems, a novel scheme based on ultra-wide bandwidth (UWB) technology is proposed. First, we illustrate a distance measuring m...

Authors: Zhen Wei, Rui Jiang, Xing Wei, Yun-An Cheng, Lei Cheng and Cai Wang

Editorial: medical imaging modeling

Authors: Zhengrong Jerome Liang

Multi-scale characterizations of colon polyps via computed tomographic colonography

Texture features have played an essential role in the field of medical imaging for computer-aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has emerged to become one of the...

Authors: Weiguo Cao, Marc J. Pomeroy, Yongfeng Gao, Matthew A. Barish, Almas F. Abbasi, Perry J. Pickhardt and Zhengrong Liang

Facial expression recognition using three-stage support vector machines

Herein, a three-stage support vector machine (SVM) for facial expression recognition is proposed. The first stage comprises 21 SVMs, which are all the binary combinations of seven expressions. If one expressio...

Authors: Issam Dagher, Elio Dahdah and Morshed Al Shakik

Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning

4-Dimensional cone-beam computed tomography (4D-CBCT) offers several key advantages over conventional 3D-CBCT in moving target localization/delineation, structure de-blurring, target motion tracking, treatment...

Authors: You Zhang, Xiaokun Huang and Jing Wang

Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case

In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is a...

Authors: Gengsheng L. Zeng, Ya Li and Qiu Huang

Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning

An accurate segmentation and quantification of the superficial foveal avascular zone (sFAZ) is important to facilitate the diagnosis and treatment of many retinal diseases, such as diabetic retinopathy and ret...

Authors: Menglin Guo, Mei Zhao, Allen M. Y. Cheong, Houjiao Dai, Andrew K. C. Lam and Yongjin Zhou

Indoor versus outdoor scene recognition for navigation of a micro aerial vehicle using spatial color gist wavelet descriptors

In the context of improved navigation for micro aerial vehicles, a new scene recognition visual descriptor, called spatial color gist wavelet descriptor (SCGWD), is proposed. SCGWD was developed by combining p...

Authors: Anitha Ganesan and Anbarasu Balasubramanian

Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain

Computer aided detection (CADe) of pulmonary nodules plays an important role in assisting radiologists’ diagnosis and alleviating interpretation burden for lung cancer. Current CADe systems, aiming at simulati...

Authors: Yongfeng Gao, Jiaxing Tan, Zhengrong Liang, Lihong Li and Yumei Huo

Adaptive deep learning for head and neck cancer detection using hyperspectral imaging

It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissu...

Authors: Ling Ma, Guolan Lu, Dongsheng Wang, Xulei Qin, Zhuo Georgia Chen and Baowei Fei

Robustness of radiomic features in magnetic resonance imaging: review and a phantom study

Radiomic analysis has exponentially increased the amount of quantitative data that can be extracted from a single image. These imaging biomarkers can aid in the generation of prediction models aimed to further...

Authors: Renee Cattell, Shenglan Chen and Chuan Huang

Developing global image feature analysis models to predict cancer risk and prognosis

In order to develop precision or personalized medicine, identifying new quantitative imaging markers and building machine learning models to predict cancer risk and prognosis has been attracting broad research...

Authors: Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari and Gopichandh Danala

Energy enhanced tissue texture in spectral computed tomography for lesion classification

Tissue texture reflects the spatial distribution of contrasts of image voxel gray levels, i.e., the tissue heterogeneity, and has been recognized as important biomarkers in various clinical tasks. Spectral com...

Authors: Yongfeng Gao, Yongyi Shi, Weiguo Cao, Shu Zhang and Zhengrong Liang