A5065367784- Photoacoustic and Ultrasonic Imaging
- Radiomics and Machine Learning in Medical Imaging
- Thermography and Photoacoustic Techniques
- Lung Cancer Diagnosis and Treatment
- Ultrasound Imaging and Elastography
- Molecular Communication and Nanonetworks
- Advanced biosensing and bioanalysis techniques
- Wireless Body Area Networks
- Cognitive Radio Networks and Spectrum Sensing
- Advanced X-ray and CT Imaging
- AI in cancer detection
- Distributed Sensor Networks and Detection Algorithms
- Ultrasound and Hyperthermia Applications
- Security in Wireless Sensor Networks
- Power Line Communications and Noise
- Emotion and Mood Recognition
- Blind Source Separation Techniques
- COVID-19 diagnosis using AI
- Heart Rate Variability and Autonomic Control
- Medical Image Segmentation Techniques
- Energy Harvesting in Wireless Networks
- EEG and Brain-Computer Interfaces
- Colorectal and Anal Carcinomas
- Non-Invasive Vital Sign Monitoring
- Medical Imaging Techniques and Applications
Tarbiat Modares University
2017-2023
University of California, Davis
2021-2023
University of California System
2022
Park University
2022
Case Western Reserve University
2014-2020
Cleveland Clinic
2018
University Hospitals of Cleveland
2018
Maimonides Medical Center
2018
Louisiana State University
2011-2014
Louisiana State University Agricultural Center
2013
Purpose To evaluate ability of radiomic (computer-extracted imaging) features to distinguish non-small cell lung cancer adenocarcinomas from granulomas at noncontrast CT. Materials and Methods For this retrospective study, screening or standard diagnostic CT images were collected for 290 patients (mean age, 68 years; range, 18–92 125 men [mean 67 18–90 years] 165 women 33–92 years]) two institutions between 2007 2013. Histopathologic analysis was available one nodule per patient....
Photoacoustic imaging (PAI) is an emerging medical modality capable of providing high spatial resolution Ultrasound (US) and contrast optical imaging. Delay-and-Sum (DAS) the most common beamforming algorithm in PAI. However, using DAS beamformer leads to low images considerable contribution off-axis signals. A new paradigm namely delay-multiply-and-sum (DMAS), which was originally used as a reconstruction confocal microwave imaging, introduced overcome challenges DAS. DMAS PAI systems it...
Non-invasive measures have a critical role in precision livestock and poultry farming as they can reduce animal stress provide continuous monitoring. Animal activity reflect physical mental states well health conditions. If any problems are detected, an early warning will be provided for necessary actions. The objective of this study was to identify avian diseases by using thermal-image processing machine learning. Four groups 14-day-old Ross 308 Broilers (20 birds per group) were used. Two...
One of the major concerns in photoacoustic computed tomography (PACT) is obtaining a high-quality image using minimum number ultrasound transducers/view angles. This issue importance when cost-effective PACT system needed. On other hand, analytical reconstruction algorithms such as back projection (BP) and time reversal, limited view angles used, cause artifacts reconstructed image. Iterative provide higher quality, compared to BP, due model used for reconstruction. The performance can be...
Wireless sensor networks are prone to node misbehavior arising from tampering by an adversary (Byzantine attack), or due other factors such as failure resulting hardware software degradation. In this paper, we consider the problem of decentralized detection in wireless presence one more classes misbehaving nodes. Binary hypothesis testing is considered where honest nodes transmit their binary decisions fusion center (FC), while fictitious messages. The goal FC identify and detect state...
In photoacoustic imaging, delay-and-sum (DAS) algorithm is the most commonly used beamformer. However, it leads to a low resolution and high level of sidelobes. Delay-multiply-and-sum (DMAS) was introduced provide lower sidelobes compared DAS. this paper, improve DMAS, novel beamformer using eigenspace-based minimum variance (EIBMV) method combined with namely EIBMV-DMAS. It shown that expanding DMAS algebra several terms, which can be interpreted as Using EIBMV adaptive beamforming instead...
Simultaneous visualization of the teeth and periodontium is significant clinical interest for image-based monitoring periodontal health. We recently reported application a dual-modality photoacoustic-ultrasound (PA-US) imaging system resolving anatomy pocket depths in humans. This work utilized linear array transducer attached to stepper motor generate 3D images via maximum intensity projection. prior also used medical head immobilizer reduce artifacts during volume rendering caused by...
Distinguishing between benign granulmoas and adenocarcinomas is confounded by their similar visual appearance on routine CT scans. Unfortunately, owing to the inability discriminate these lesions radigraphically, many patients with granulomas are subjected unnecessary surgical wedge resections biopsies for pathologic confirmation of cancer presence or absence. This suggests need improved computerized characterization nodules in order distinguish two classes While there has been substantial...
In this study, the ability of radiomics features extracted from myocardial perfusion imaging with SPECT (MPI-SPECT) was investigated for prediction ejection fraction (EF) post-percutaneous coronary intervention (PCI) treatment. A total 52 patients who had undergone pre-PCI MPI-SPECT were enrolled in study. After normalization images, left ventricle, initially automatically segmented by k-means and active contour methods, finally edited approved an expert radiologist. More than 1700 2D 3D...
Adenocarcinomas and active granulomas can both have a spiculated appearance on computed tomography (CT) are often fluorodeoxyglucose (FDG) avid positron emission (PET) scan, making them difficult to distinguish. Consequently, patients with benign subjected invasive surgical biopsies or resections. In this study, quantitative vessel tortuosity (QVT), novel CT imaging biomarker distinguish between adenocarcinomas routine non-contrast lung scans is introduced. Our study comprised of 290 from...
Pain is an unpleasant feeling that can reflect a patient's health situation. Since measuring pain subjective, time-consuming, and needs continuous monitoring, automated intensity detection from facial expression holds great potential for smart healthcare applications. Convolutional Neural Networks (CNNs) are recently being used to identify features, map model images, delivering promise in helping practitioners detect disease. Limited research has been conducted determine levels across...
In this paper, we consider the problem of spectrum sensing in cognitive radios (CRs) when receiver secondary user (SU) is equipped with a multiantenna system. Using an estimate cross correlation among signals received at different antenna elements, propose blind detection method, which assumes no prior knowledge signaling scheme used by PU, noise power, or channel path coefficients. The result coefficients from primary (PU) transmitter to elements receiver. and false alarm probabilities...
Spectrum sensing is a key function of cognitive radios and used to determine whether primary user present in the channel or not. Many approaches have been proposed when both secondary employ single antenna. Recently several techniques also assuming that employs multiple antennas. In this paper, we formulate solve generalized likelihood ratio test (GLRT) for spectrum transmitter receiver are equipped with We do not assume any prior information about statistics user's signal structure. Two...
Objective Brown adipose tissue (BAT) generates heat in response to cold, and low BAT activity has been linked obesity. However, recent studies were inconclusive as whether is involved diet‐induced thermogenesis mitigates weight gain from prolonged overeating. Therefore, this study investigated related metabolic adaptation arising 8 weeks of overfeeding humans. Methods Fourteen men (aged 24 ± 3 years, BMI 24.5 1.6 kg/m 2 ) overfed by 40% for weeks. Before after, energy expenditure measured...
Differentiation between benign and malignant nodules is a problem encountered by radiologists when visualizing computed tomography (CT) scans. Adenocarcinomas granulomas have characteristic spiculated appearance may be fluorodeoxyglucose avid, making them difficult to distinguish for human readers. In this retrospective study, we aimed evaluate whether combination of radiomic texture shape features from noncontrast CT scans can enable discrimination adenocarcinomas. Our study composed 195...
In-band spectrum sensing (SS) in overlay cognitive radio networks requires that the secondary users (SUs) periodically suspend their communication to determine whether primary user (PU) has started utilize channel. In contrast, monitoring (SM), SU can detect emergence of PU from its own receiver statistics such as error count (REC). Previously, it been shown additive white Gaussian noise channels, a hybrid SS/SM system significantly improves channel utilization SUs and detection delay PUs....
Delay-and-Sum (DAS) is the most common algorithm used in photoacoustic (PA) image formation. However, this results a reconstructed with wide mainlobe and high level of sidelobes. Minimum variance (MV), as an adaptive beamformer, overcomes these limitations improves resolution contrast. In paper, novel algorithm, named modified-sparse-MV (MS-MV) proposed which L1-norm constraint added to MV minimization problem after some modifications, order suppress sidelobes more efficiently, compared MV....
Delay-and-Sum (DAS) beamformer is the most common beamforming algorithm in Photoacoustic imaging (PAI) due to its simple implementation and real time imaging. However, it provides poor resolution high levels of sidelobe. A new named Delay-Multiply-and-Sum (DMAS) was introduced. Using DMAS leads lower sidelobe compared DAS, but not satisfying yet. In this paper, a novel introduced based on combination Minimum Variance (MV) adaptive DMAS, so-called Variance-Based (MVB-DMAS). It shown that...
In-band spectrum sensing (SS) requires that secondary users (SUs) periodically interrupt their communication to detect the emergence of primary (PUs) in channel. A new approach referred as monitoring (SM) was proposed by Boyd et al., which allows SU employ its receiver statistics PU during own periods. In this paper, we construct a decision statistic for SM based on SU's error count. We then evaluate detection probability presence interference from signal. Next, derive closed-form formulas...
Stress is an inevitable part of our lives in modern society since many situations people are exposed to various stressors daily. According studies, long-term stress can cause mental and physical diseases such as depression, anxiety, high blood pressure, heart attacks, stroke. Therefore, detection one the crucial areas study maintain a healthy life. Recently, by developing commercial wearable technologies, real-time continuous data collection for personal monitoring becomes more feasible....
Photoacoustic imaging (PAI) is an emerging biomedical modality capable of providing both high contrast and resolution optical UltraSound (US) imaging. Since receiving part PA consists US waves, a large number beamforming algorithms in can be applied on Delay-and-Sum (DAS) the most common algorithm However, make use DAS beamformer leads to low images scale off-axis signals contribution. To address these problems, new paradigm namely Delay-Multiply-and-Sum (DMAS), which was used as...