We propose a Column-Row-Parallel imaging frontend architecture for integrated and low-power 3D medical ultrasound imaging. The Column-Row-Parallel architecture offers linear-scaling interconnection, acquisition and programming time with row-by-row or column-by-column operations, while supporting volumetric imaging functionality and fault-tolerance against possible transducer element defects with per-element controls. The combination of column-parallel selection logic, row-parallel selection logic, and per-element selection logic reaches a balance between flexible imaging aperture definition and manageable imaging data / control interface to a 2D array. A 16×16 CMUT-ASIC Column-Row-Parallel prototype is fabricated and assembled with a flip-chip bonding process. It facilitates the 3D plane-wave coherent compounding algorithm for volumetric imaging with a fast frame rate of 62.5 Hz and 46% improved lateral resolution with 10-angle compounding and a field of view volume of 2.3mm in both azimuth and elevation, 8.5mm in depth. At a hypothetically scaled up 64x64 array size, the frame rate can still be kept at 31.2 Hz for a volume of 40mm in both azimuth and elevation, 150mm in depth. An interleaved checker board pattern with in-phase (I) and quadrature (Q) excitations is also demonstrated for reducing CMUT second harmonic distortion (HD2) emission by up to 25 dB at the loss of 3 dB fundamental energy reduction. The method reduces nonlinear effects from both transducers and circuits and is a wide band technique that is applicable to arbitrary pulse shapes.
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http://dx.doi.org/10.1109/TUFFC.2018.2811393 | DOI Listing |
BMC Med Res Methodol
December 2024
Institute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Karl-von-Frisch-Strasse 4, Marburg, 35043, Germany.
Background: Health services research often relies on secondary data, necessitating quality checks for completeness, validity, and potential errors before use. Various methods address implausible data, including data elimination, statistical estimation, or value substitution from the same or another dataset. This study presents an internal validation process of a secondary dataset used to investigate hospital compliance with minimum caseload requirements (MCR) in Germany.
View Article and Find Full Text PDFJAMIA Open
February 2025
Georgia Tech Research Institute, Atlanta, GA 30308, United States.
Objective: The resurgence of syphilis in the United States presents a significant public health challenge. Much of the information needed for syphilis surveillance resides in electronic health records (EHRs). In this manuscript, we describe a surveillance platform for automating the extraction of EHR data, known as SmartChart Suite, and the results from a pilot.
View Article and Find Full Text PDFIntroduction: This study protocol specifies the primary research line and theoretical framework of the 2023 Survey of the Psychology and Behavior of the Chinese Population. It aims to establish a consistent database of Chinese residents' psychological and behavioral surveys through multi-center and large-sample cross-sectional surveys to provide robust data support for developing research in related fields. It will track the public's physical and psychological health more comprehensively and systematically.
View Article and Find Full Text PDFBiosens Bioelectron
December 2024
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China; Zhengzhou Industrial Technology Research Institute of Shanghai Jiao Tong University, Zhengzhou, 450016, China. Electronic address:
Antimicrobial resistance (AMR) has become an increasingly severe threat to global health, and AMR-associated infection is one of the leading causes of death around the world. Due to the long turnaround time and the limited flexibility and availability of current antimicrobial susceptibility testing (AST) methods, a large portion of patients with bacterial infections are still treated empirically, increasing the risk of mistreatment. To address the demand for precision treatment of bacterial infections, we developed a nano-dilution SlipChip (nd-SlipChip)-based systematic evaluation method, which facilitates rapid, logic feedback for the assessment of antibiotics, antibiotic combinations, and phage therapy.
View Article and Find Full Text PDFSci Rep
December 2024
Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is linked with many risk factors and a variety of symptoms. In the past few years, CAD has experienced a remarkable growth.
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