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Sitaramanjaneya Reddy Guntur

Researcher at Vignan University

Publications -  24
Citations -  391

Sitaramanjaneya Reddy Guntur is an academic researcher from Vignan University. The author has contributed to research in topics: Imaging phantom & Thermal diffusivity. The author has an hindex of 8, co-authored 17 publications receiving 258 citations. Previous affiliations of Sitaramanjaneya Reddy Guntur include Rajiv Gandhi Institute of Technology, Mumbai & Jeju National University.

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Journal ArticleDOI

A Tissue Mimicking Polyacrylamide Hydrogel Phantom for Visualizing Thermal Lesions Generated by High Intensity Focused Ultrasound

TL;DR: The proposed TM BSA-PAG acoustically mimics tissue better than the standard BSA -PAG and is expected to be preferentially used for assuring if a clinical HIFU device produces the thermal lesion as planned.
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Temperature-dependent thermal properties of ex vivo liver undergoing thermal ablation

TL;DR: The study indicates that the key thermal parameters of ex vivo porcine liver vary largely with temperature when heated, as described by asymmetric quasi-parabolic curves of the thermal parameters with temperature, and therefore, substantial influence on the temperature distribution of the tissue undergoing thermotherapy is expected.
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Changes in ultrasonic properties of liver tissue in vitro during heating-cooling cycle concomitant with thermal coagulation.

TL;DR: Evidence is added that tissue characterization, in particular, based on the B/A could be valuable for ultrasonically imaging the thermal lesions following high-intensity focused ultrasound (HIFU) surgery.
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In Vitro Studies of the Antimicrobial and Free-Radical Scavenging Potentials of Silver Nanoparticles Biosynthesized From the Extract of Desmostachya bipinnata.

TL;DR: The results have confirmed that green synthesis of AgNPs leads to the fabrication of sphere-shaped particles with a diameter of 53 nm, which has demonstrated its potential as a novel biomaterial which can be used for various biomedical applications.
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Optimum weighted multimodal medical image fusion using particle swarm optimization

TL;DR: The OWAF showed superior performance than existing conventional fusion approaches in terms of information mapping, edge quality and structural similarity in MR/PET, MR/SPECT and MR/CT images in both normal and noisy fusion backgrounds.