no code implementations • 6 Oct 2023 • Antony Jerald, A. N. Madhavanunni, Gayathri Malamal, Mahesh Raveendranatha Panicker
Objective: The objective of this work is an attempt towards non-contact freehand 3D ultrasound imaging with minimal complexity added to the existing point of care ultrasound (POCUS) systems.
no code implementations • 7 Apr 2023 • M. S. Asif, Gayathri Malamal, A. N. Madhavanunni, Vikram Melapudi, V Rahul, Abhijit PATIL, Rajesh Langoju, Mahesh Raveendranatha Panicker
Conventional ultrasound (US) imaging employs the delay and sum (DAS) receive beamforming with dynamic receive focus for image reconstruction due to its simplicity and robustness.
no code implementations • 16 Feb 2023 • Antony Jerald, A. N. Madhavanunni, Gayathri Malamal, Pisharody Harikrishnan Gopalakrishnan, Mahesh Raveendranatha Panicker
In this study, we propose a novel approach of using a mechanical track for ultrasound scanning, which restricts the probe motion to a linear plane, simplifying the acquisition and hence the reconstruction process.
no code implementations • 31 Jul 2022 • Mayank Katare, Mahesh Raveendranatha Panicker, A N Madhavanunni, Gayathri Malamal
In the recent past, there have been many efforts to accelerate adaptive beamforming for ultrasound (US) imaging using neural networks (NNs).
no code implementations • 16 Jul 2021 • Gayathri Malamal, Mahesh Raveendranatha Panicker
In ultrasound imaging, most of the transmit and receive beamforming schemes assume a homogenous diffuse medium and are evaluated based on contrast, temporal and spatial resolutions.