- Radiology practices and education
- Cardiac Imaging and Diagnostics
- Radiation Dose and Imaging
- Head and Neck Cancer Studies
- Advanced MRI Techniques and Applications
- Advanced Optical Network Technologies
- Radiomics and Machine Learning in Medical Imaging
- Non-Invasive Vital Sign Monitoring
- Optical Network Technologies
- Artificial Intelligence in Healthcare and Education
- Digital Imaging in Medicine
- Cardiovascular Function and Risk Factors
- Ultrasound in Clinical Applications
- Advanced X-ray and CT Imaging
- Ultrasound Imaging and Elastography
- Advanced Photonic Communication Systems
- COVID-19 diagnosis using AI
- Ultrasound and Hyperthermia Applications
- Medical Malpractice and Liability Issues
- Digital Radiography and Breast Imaging
- Atomic and Subatomic Physics Research
- Advanced Radiotherapy Techniques
- Cardiovascular Health and Disease Prevention
- Interconnection Networks and Systems
- Surgical Simulation and Training
University of Alabama at Birmingham
2018-2025
Georgia Institute of Technology
2012-2024
University of Alabama
2018-2024
Emory University
2011-2020
Winship Cancer Institute
2014-2015
Piedmont Cancer Institute
2014
Emory University Hospital
2007
University of Michigan
1999-2005
University of Washington
1991-2003
Iowa State University
1997-2002
Purpose: Xerostomia (dry mouth), secondary to irradiation of the parotid glands, is one most common side effects head‐and‐neck cancer radiotherapy. Diagnostic tools able accurately and efficiently measure gland injury have yet be introduced into clinic. This study's purpose investigate sonographic textural features as potential imaging signatures for quantitative assessment parotid‐gland after Methods: The authors investigated a series obtained from gray level co‐occurrence matrix (GLCM) –...
Background Artificial intelligence (AI) algorithms have shown high accuracy for detection of pulmonary embolism (PE) on CT angiography (CTPA) studies in academic studies. Purpose To determine whether use an AI triage system to detect PE CTPA improves radiologist performance or examination and report turnaround times a clinical setting. Materials Methods This prospective single-center study included adult participants who underwent suspected practice Consecutive were evaluated two phases,...
Retrospective studies evaluating artificial intelligence (AI) algorithms for intracranial hemorrhage (ICH) detection on noncontrast CT (NCCT) have shown promising results but lack prospective validation.
Artificial intelligence (AI) algorithms improved detection of incidental pulmonary embolism (IPE) on contrast-enhanced CT (CECT) examinations in retrospective studies; however, prospective validation studies are lacking.
We present a Matlab-based tool to convert electrocardiography (ECG) information from paper charts into digital ECG signals. The can be used for long-term retrospective studies of cardiac patients study the evolving features with prognostic value.To perform conversion, we: 1) detect graphical grid on using grayscale thresholding; 2) digitize signal based its contour column-wise pixel scan; and 3) use template-based optical character recognition extract patient demographic in order interface...
Seismocardiography (SCG), a representation of mechanical heart motion, may more accurately determine periods cardiac quiescence within cycle than the electrically derived electrocardiogram (EKG) and, thus, have implications for gating in computed tomography. We designed and implemented system to synchronously acquire echocardiography, EKG, SCG data. The device was used study variability between EKG characterize relationship electrical activity heart. For each cycle, feature indicating Aortic...
The objective of our study was to evaluate whether facial and chest photographs obtained simultaneously with radiographs increase radiologists' detection rate labeling errors.We simultaneous portable 34 patients. We generated 88 pairs (one recent radiograph, one prior radiograph) compiled a set 20 for reader review. Two, three, or four mismatched (i.e., containing different patients) were introduced into each list. Ten radiologist readers blinded the presence mismatches interpreted...
The goal of this research is to demonstrate that teaching healthcare trainees a formal search or scan pattern for evaluation the lungs improves their ability identify pulmonary nodules on chest radiographs (CXRs). A group physician assistant were randomly assigned control and experimental groups. Each was shown two sets CXRs, each set with nodule prevalence approximately 50%. received training between case sets, whereas did not. Both groups asked mark when present indicate diagnostic...
The purpose of this study was to estimate the prevalence reported near-miss wrong-patient events in radiology at two large academic hospitals and its relation imaging modality, clinical setting, time occurrence.An institutional report database searched for reports between January 1, 2009, May 30, 2013, that contained phrases "incorrect patient" or "wrong patient." These were categorized into either mislabeled misidentified patient wrong dictation events. mislabeling-misidentification...
Purpose: The study aims to investigate whether Nakagami parameters—estimated from the statistical distribution of backscattered ultrasound radio‐frequency (RF) signals—could provide a means for quantitative characterization parotid‐gland injury resulting head‐and‐neck radiotherapy. Methods: A preliminary clinical was conducted with 12 postradiotherapy patients and healthy volunteers. Each participant underwent one in which scans were performed longitudinal, i.e., vertical orientation on...
Contagious infectious diseases add a new dimension to radiology and pose many unanswered questions. In particular, what is the safest way image patients with contagious potentially lethal diseases? Here, we describe protocols used by Emory University successfully acquire chest radiographs of Ebola virus disease.Radiology departments need develop for various modalities in imaging diseases.
To more accurately trigger cardiac computed tomography angiography (CTA) than electrocardiography (ECG) alone, a sub-system is proposed as an intermediate step toward fusing ECG with seismocardiography (SCG). Accurate prediction of quiescent phases crucial to prospectively gating CTA, which susceptible motion and, thus, can affect the diagnostic quality images. The key innovation this that it identifies SCG waveform corresponding heart sounds and determines their within cycles. Furthermore,...
The ballistocardiogram (BCG), a signal describing the reaction forces of body to cardiac ejection blood, has recently gained interest in research community as potential tool for monitoring mechanical aspects cardiovascular health patients at home and during normal activities daily living. An important limitation field BCG is that while measures body, information desired (and understood) by clinicians caregivers, regarding system, typically expressed blood pressure or flow. This paper aims...
Please see the Author Video associated with this article.OBJECTIVE. Social distancing is considered an effective mitigation strategy for coronavirus disease (COVID-19), and remote interpretation of radiologic studies one approach to social within radiology department. We describe rapid deployment home workstations achieve in department at University Alabama Birmingham.CONCLUSION. Transitioning from on-site requires a careful balancing hospital departmental finances, engineering choices,...
To more accurately trigger data acquisition and reduce radiation exposure of coronary computed tomography angiography (CCTA), a multimodal framework utilizing both electrocardiography (ECG) seismocardiography (SCG) for CCTA prospective gating is presented. Relying upon three-layer artificial neural network that adaptively fuses individual ECGand SCG-based quiescence predictions on beat-by-beat basis, this yields personalized prediction each cardiac cycle. This was tested seven healthy...
Several schemes for detecting faults at the processor level in a multiprocessor system have been discussed past. One such scheme (A. Dahbura et al., 1989) works by running secondary versions of jobs on unused or spare processors and uses comparison approach (J. Maeng M. Malek, 1981) to detect faults. We build upon this propose three new allocation strategies that run variable number per job. These permit online detection and, many cases, location faulty with nominal degradation its...