
Satya V.V.N KothapalliWashington University School of Medicine
Satya V.V.N Kothapalli
Ph.D.
About
43
Publications
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Introduction
Publications
Publications (43)
Background
The 18F‐AV‐1451 radioligand enables in‐vivo identification of tau neurofibrillary tangles that are considered as biomarkers of neurodegeneration in Alzheimer Disease (AD). However, off‐target radioligand binding is also observed in basal ganglia, known as an iron‐rich region. Hence, it is important to distinguish between radioligand‐iden...
Background
There is a growing interest in investigating cerebrovascular dysfunction related to early Alzheimer disease (AD) pathology. The objective of this study is to evaluate changes in brain hemodynamic properties in relation to excess of β‐amyloid (Aβ) deposition using the quantitative Gradient Recalled Echo (qGRE) MRI technique. Additionally,...
Background
The 18F‐AV‐1451 radioligand enables in‐vivo identification of tau neurofibrillary tangles that are considered as biomarkers of neurodegeneration in Alzheimer Disease (AD). However, off‐target radioligand binding is also observed in basal ganglia, known as an iron‐rich region. Hence, it is important to distinguish between radioligand‐iden...
Purpose:
To introduce a Deep-Learning-Based Accelerated and Noise-Suppressed Estimation (DANSE) method for reconstructing quantitative maps of biological tissue cellular-specific, R2t*, and hemodynamic-specific, R2', metrics of quantitative Gradient-Recalled-Echo (qGRE) MRI.
Methods:
DANSE method adapts supervised learning paradigm to train a co...
Quantitative MRI (qMRI) refers to a class of MRI methods for quantifying the spatial distribution of biological tissue parameters. Traditional qMRI methods usually deal separately with artifacts arising from accelerated data acquisition, involuntary physical motion, and magnetic-field inhomogeneities, leading to suboptimal end-to-end performance. T...
Purpose
To introduce two novel learning‐based motion artifact removal networks (LEARN) for the estimation of quantitative motion‐ and B0‐inhomogeneity‐corrected R2∗ maps from motion‐corrupted multi‐Gradient‐Recalled Echo (mGRE) MRI data.
Methods
We train two convolutional neural networks (CNNs) to correct motion artifacts for high‐quality estimati...
Background:
Currently, brain tissue atrophy serves as an in vivo MRI biomarker of neurodegeneration in Alzheimer's disease (AD). However, postmortem histopathological studies show that neuronal loss in AD exceeds volumetric loss of tissue and that loss of memory in AD begins when neurons and synapses are lost. Therefore, in vivo detection of neuro...
Background
Currently, brain tissue atrophy serves as in vivo structural MRI biomarker of neurodegeneration in Alzheimer Disease (AD). However, postmortem histopathological studies show that neuronal loss in AD exceeds volumetric loss of tissue and that AD‐related memory loss begins when neurons are lost. Hence, in vivo detection of neurodegeneratio...
Purpose
To introduce a Deep-Learning-Based Accelerated and Noise-Suppressed Estimation (DANSE) method for reconstructing quantitative maps of biological tissue cellular-specific, R 2 t * and hemodynamic-specific, R 2′ from Gradient-Recalled-Echo (GRE) MRI data with multiple gradient-recalled echoes.
Methods
DANSE method adapts supervised learning...
Purpose: To introduce two novel learning-based motion artifact removal networks (LEARN) for the estimation of quantitative motion- and $B0$-inhomogeneity-corrected $R_2^\ast$ maps from motion-corrupted multi-Gradient-Recalled Echo (mGRE) MRI data. Methods: We train two convolutional neural networks (CNNs) to correct motion artifacts for high-qualit...
Background: Currently, brain tissue atrophy serves as in vivo MRI biomarker of neurodegeneration in Alzheimer Disease (AD). However, postmortem histopathological studies show that neuronal loss in AD exceeds volumetric loss of tissue and that loss of memory in AD begins when neurons and synapses are lost. Therefore, in vivo detection of neuronal lo...
Non-heme iron is an important element supporting the structure and functioning of biological tissues. Imbalance in non-heme iron can lead to different neurological disorders. Several MRI approaches have been developed for iron quantification relying either on the relaxation properties of MRI signal or measuring tissue magnetic susceptibility. Speci...
Purpose
To introduce a novel deep learning method for Robust and Accelerated Reconstruction (RoAR) of quantitative and B0‐inhomogeneity‐corrected R2* maps from multi‐gradient recalled echo (mGRE) MRI data.
Methods
RoAR trains a convolutional neural network (CNN) to generate quantitative R2∗ maps free from field inhomogeneity artifacts by adopting...
Purpose: To introduce a novel deep learning method for Robust and Accelerated Reconstruction (RoAR) of quantitative R2* images from multi-gradient recalled echo (mGRE) MRI data. Methods: RoAR trains a convolutional neural network (CNN) by adopting a self-supervised learning strategy to produce quantitative R2* maps free from field inhomogeneity art...
Background
With the expanding applications of magnetic resonance-guided high-intensity focused ultrasound (MR-HIFU), there is an urgent need for a convenient, reliable, and fast acoustic pressure field measurement method to aid treatment protocol design, ensure consistent and safe operation of the transducer, and facilitate regulatory approval of n...
The goal of this study was to establish the feasibility of integrating focused ultrasound (FUS)-mediated delivery of 64Cu-integrated gold nanoclusters (64Cu-AuNCs) to the pons for in vivo quantification of the nanocluster brain uptake using positron emission tomography (PET) imaging. FUS was targeted at the pons for the blood-brain barrier (BBB) di...
Purpose: Since mild hyperthermia therapy (MHT) requires maintaining the temperature within a narrow window (e.g. 40–43 °C) for an extended duration (up to 1 h), accurate and precise temperature measurements are essential for ensuring safe and effective treatment. This study evaluated the precision and accuracy of MR thermometry in healthy volunteer...
Purpose:
With the expanding clinical application of magnetic resonance-guided high intensity focused ultrasound (MR-HIFU), acoustic field characterization of MR-HIFU systems is needed for facilitating regulatory approval and ensuring consistent and safe power output of HIFU transducers. However, the established acoustic field measurement technique...
With the expanding use and applications of MR-HIFU in both thermal-based and pressure-based therapies, there is an urgent need to develop acoustic field characterization and quality assurance (QA) tools for MR-HIFU systems. We developed a method for quick and reliable acoustic field assessment inside the magnet bore of a clinical MRI system. A fibe...
Purpose
High intensity focused ultrasound (HIFU) is a non-invasive therapeutic technique that can thermally ablate tumors. Boiling histotripsy (BH) is a HIFU approach that can emulsify tissue in a few milliseconds. Lesion volume and temperature effects for different BH sonication parameters are currently not well characterized. In this work, lesion...
The supplemental table contains individual worksheet for lesion volume, thermal dose and temperature FWHM for all sonication parameters used in this experimental work.
Each worksheet in this data file shows the values obtained for 3D segmented lesion volume, 240CEM43 and temperature FWHM for each sonication parameter varied in this work.
(XLSX)
http://www.fusfoundation.org/symposium/2016/docs/FUSF_Symposium_2016_Abstracts_web.pdf
The objective of this paper is to explore the trajectory motion of microsize (typically smaller than a red blood cell) encapsulated polymer-shelled gas bubbles propelled by radiation force in an acoustic standing-wave field and to compare the corresponding movements of solid polymer microbeads. The experimental setup consists of a microfluidic chip...
Diagnostic ultrasound (US) is safer, quicker and cheaper than other diagnostic imaging modalities. Over the past two decades, the applications of US imaging has been widened due to the development of injectable, compressible and encapsulated microbubbles (MBs) that provide an opportunity to improve conventional echocardiographic imaging, blood flow...
This work describes the fracturing mechanism of air-filled microbubbles (MBs) encapsulated by a cross-linked poly(vinyl alcohol) (PVA) shell. The radial oscillation and fracturing events following the ultrasound exposure were visualized with an ultrahigh-speed camera, and backscattered timedomain signals were acquired with the acoustic setup specif...
This work describes the fracturing mechanism of air-filled microbubbles (MBs) encapsulated by a cross-linked poly(vinyl alcohol) (PVA) shell. The radial oscillation and fracturing events following the ultrasound exposure were visualized with an ultrahigh-speed camera, and backscattered time domain signals were acquired with the acoustic setup speci...
Combinations of microbubbles (MBs) and superparamagnetic iron oxide nanoparticles (SPIONs) are used to fabricate dual contrast agents for ultrasound and MRI. This study examines the viscoelastic and oscillation characteristics of two MB types that are manufactured with SPIONs and either anchored chemically on the surface (MBs-chem) or physically em...
One of the challenging and important problems that still needs solution within the field of dental implant surgery is to monitor the osseointegration process. Therefore, this work aims to achieve a reliable noninvasive automatic method to evaluate dental implant stability which is directly related to the grade of osseointegration. For this purpose,...
The current methodologies in body scanning diagnostic uses different simultaneous imaging modalities like Ultrasound (US), magnetic resonance imaging (MRI), single photon emission tomography (SPECT) and positron emission tomography (PET). The field requires combination of different modalities for effective use in clinical diagnostics. Such incorpor...
Polymer-shelled magnetic microbubbles have great potential as hybrid contrast agents for ultrasound and magnetic resonance imaging. In this work, we studied US/MRI contrast agents based on air-filled poly(vinyl alcohol)-shelled microbubbles combined with superparamagnetic iron oxide nanoparticles (SPIONs). The SPIONs are integrated either physicall...
The combination of superparamagnetic iron oxide nanoparticles with polymeric air-filled microbubbles is used to produce two types of multimodal contrast agents to enhance medical ultrasound and magnetic resonance imaging. The nanoparticles are either covalently linked to the shell or physically entrapped into the shell. In this paper, the character...
A challenging problem in dental implant surgery is to evaluate the stability of the implant. In this simulation study, an experimental phantom is used to represent a jawbone with a dental implant. It is made of a little pool filled with soft-tissue equivalent material and a disc of fresh Oakwood with a metal screw. Varying levels of contact between...
Background, Motivation and Objective
The potentiality of polymeric microbubbles (MB) in terms of mechanical stability and chemical versatility can be exploited to design
multimodal contrast agents for hybrid MR-US imaging. We use an air filled microbubble with an average diameter of 3 μm stabilized
by a biocompatible poly-vinyl-alcohol (PVA) shell....
There is a growing interest in magnetic microbubbles (MBs) for simultaneous enhanced ultrasound (US) and enhanced magnetic resonance imaging (MRI) to support well-established imaging procedures as well as new emerging diagnostic and therapeutic applications. However, the development of hybrid contrast agents is challenging, because their design nee...
There is a growing interest in magnetic microbubbles (MBs) for simultaneous enhanced ultrasound (US) and enhanced magnetic resonance imaging (MRI) to support well-established imaging procedures as well as new emerging diagnostic and therapeutic applications. However, the development of hybrid contrast agents is challenging, because their design nee...
The assessment of the harmonic response is commonly used in analysis of the signals from ultrasound contrast agents (UCAs). Theoretical and experimental studies report that acoustic behavior of UCAs strongly depends on insonation pressure. Other system parameters, such as the number of cycles, driving and repetition frequency and the pulse shape ar...
A novel ultrasound contrast agent (UCA) based on air-filled polymer-shelled microbubbles, is prepared within 3MiCRON project for
multimodality approach covering ultrasound, MRI and SPECT investigation. These bubbles have thick, about 30% of the radius, shell providing
greater stability and longer half life in a pulmonary circulation compare to comm...