Modeling of received signals from annular array ultrasound transducers due to extended reflectors.

IEEE Trans Ultrason Ferroelectr Freq Control

Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA.

Published: November 2003

This paper describes a computationally efficient numerical technique for calculating the received signal from a broadband annular array transducer operating in pulse-echo mode, due to a specified reflector. The technique is referred to as the Diffraction Response from Extended Area Method (DREAM) and operates by tessellating the reflector into planar tiles with a dimension of several wavelengths (at the highest frequency of interest) and finding the contribution from a given tile by a temporal low-pass filtering rather than spatial integration. In particular, this paper formulates the theory for the DREAM for tessellation into triangular tiles and demonstrates the improved performance with triangular tiles relative to square tiles. This paper also analyzes the mean square error of the received signal as a function of the diameters of the transmitting and the receiving transducers and the radial position and orientation of the tile. Based on this, a set of rules for the optimal tile size is developed. The power of the modeling technique is demonstrated by calculating the received signal from an annular array transducer due to three given extended reflectors in which the effect of the focal point location on the received signal is readily demonstrated.

Download full-text PDF

Source
http://dx.doi.org/10.1109/tuffc.2003.1251136DOI Listing

Publication Analysis

Top Keywords

received signal
16
annular array
12
extended reflectors
8
calculating received
8
array transducer
8
triangular tiles
8
modeling received
4
received signals
4
signals annular
4
array ultrasound
4

Similar Publications

Introduction: The traditional Chinese medicine formula, Bushen Daozhuo Granules (BSDZG), is used to treat chronic non-bacterial prostatitis (CNP) clinically. However, its mechanism of action is unclear. The aim of our study was to determine the effect of BSDZG on CNP and its underlying mechanisms.

View Article and Find Full Text PDF

TSPOAP1-AS1: A Novel Biomarker for the Prognosis and Therapeutic Target in Cervical Cancer.

Comb Chem High Throughput Screen

January 2025

Thoracic and Abdominal Radiotherapy Department I, Meizhou People's Hospital, Meizhou 514031, Guangdong, China.

Background: TSPOAP1 antisense RNA 1 (TSPOAP1-AS1) is a long non-coding RNA (lncRNA) that has received widespread attention in oncology research in recent years. Its role and mechanism in some cancers have gradually been revealed. However, it is not clear what role TSPOAP1-AS1 plays in cervical cancer (CESC).

View Article and Find Full Text PDF

Introduction: This study aimed to identify cognitive tests that optimally relate to tau positron emission tomography (PET) signal in the inferior temporal cortex (ITC), a neocortical region associated with early tau accumulation in Alzheimer's disease (AD).

Methods: We analyzed cross-sectional data from the harvard aging brain study (HABS) (= 128) and the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) study (= 393). We used elastic net regression to identify the most robust cognitive correlates of tau PET signal in the ITC.

View Article and Find Full Text PDF

Successful pancreatic ductal adenocarcinoma (PDAC) immunotherapy requires therapeutic combinations that induce quality T cells. Tumor microenvironment (TME) analysis following therapeutic interventions can identify response mechanisms, informing design of effective combinations. We provide a reference single-cell dataset from tumor-infiltrating leukocytes (TILs) from a human neoadjuvant clinical trial comparing the granulocyte-macrophage colony-stimulating factor (GM-CSF)-secreting allogeneic PDAC vaccine GVAX alone, in combination with anti-PD1 or with both anti-PD1 and CD137 agonist.

View Article and Find Full Text PDF

We examined the intricate mechanisms underlying visual processing of complex motion stimuli by measuring the detection sensitivity to contraction and expansion patterns and the discrimination sensitivity to the location of the center of motion (CoM) in various real and unreal optic flow stimuli. We conducted two experiments (N = 20 each) and compared responses to both "real" optic flow stimuli containing information about self-movement in a three-dimensional scene and "unreal" optic flow stimuli lacking such information. We found that detection sensitivity to contraction surpassed that to expansion patterns for unreal optic flow stimuli, whereas this trend was reversed for real optic flow stimuli.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!