Small variations in left-ventricular preload due to respiration produce measurable changes in cardiac function in normal subjects. We show that this mechanism is altered in patients with reduced ejection fraction (EF), hypertrophy, or volume-loaded right ventricle (RV). We propose a multi-dimensional retrospective image reconstruction, based on an adaptive, soft classification of data into respiratory and cardiac phases, to study these effects.
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http://dx.doi.org/10.1007/978-3-319-59448-4_7 | DOI Listing |
Heliyon
January 2024
Department of Cardiothoracic Surgery, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, 310012, China.
Background: In the realm of thoracic surgery, addressing chest wall defects accompanied by infections remains a formidable task. Despite the availability of a spectrum of surgical options, attaining clinical resolution is particularly challenging in intricate cases involving extensive chest wall defects in elderly patients. Thorough debridement followed by the utilization of autologous tissue for repair and reconstruction has emerged as a prevalent approach in current clinical practice.
View Article and Find Full Text PDFSensors (Basel)
November 2023
Hubei Key Laboratory of Modern Manufacturing Quantity Engineering, College of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.
The existing ultrasonic thickness measurement systems require high sampling frequencies for echo signal acquisition, leading to complex circuit designs and high costs. Moreover, extracting the characteristics of ultrasonic echo signals for accurate thickness measurement poses significant challenges. To address these issues, this paper proposes a method that utilizes conventional sampling frequencies to acquire high-frequency ultrasonic echo signals, overcoming the limitations of high-frequency data acquisition imposed by the Nyquist-Shannon sampling theorem.
View Article and Find Full Text PDFQuant Imaging Med Surg
July 2019
Medical Physics Graduate Program, Duke University, Durham, NC, USA.
Background: Current 4D-MRI techniques are prone to breathing-variation-induced motion artifacts. This study developed a novel method for motion-robust multi-cycle 4D-MRI using probability-based multi-cycle sorting to overcome this deficiency.
Methods: The main cycles were first extracted from the breathing signal.
Funct Imaging Model Heart
June 2017
NYU School of Medicine, Center for Biomedical Imaging, New York, USA.
Small variations in left-ventricular preload due to respiration produce measurable changes in cardiac function in normal subjects. We show that this mechanism is altered in patients with reduced ejection fraction (EF), hypertrophy, or volume-loaded right ventricle (RV). We propose a multi-dimensional retrospective image reconstruction, based on an adaptive, soft classification of data into respiratory and cardiac phases, to study these effects.
View Article and Find Full Text PDFMed Phys
December 2016
Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705 and Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710.
Purpose: To develop a novel probability-based sorting method capable of generating multiple breathing cycles of 4D-MRI images and to evaluate performance of this new method by comparing with conventional phase-based methods in terms of image quality and tumor motion measurement.
Methods: Based on previous findings that breathing motion probability density function (PDF) of a single breathing cycle is dramatically different from true stabilized PDF that resulted from many breathing cycles, it is expected that a probability-based sorting method capable of generating multiple breathing cycles of 4D images may capture breathing variation information missing from conventional single-cycle sorting methods. The overall idea is to identify a few main breathing cycles (and their corresponding weightings) that can best represent the main breathing patterns of the patient and then reconstruct a set of 4D images for each of the identified main breathing cycles.
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