activity
20212026
most citedA Nonlinear Beamforming for Enhanced Spatiotemporal Sensitivity in High Frame Rate Ultrasound Flow Imaging

7 citations · 18 across the 27 of their papers we have counts for

collaborators

30 papers

eess.SP2026

Differentiable Co-Design of Ultrasound Probe Geometry and Acquisition for Plane-Wave Imaging

Somashekhar Dehury, Mahesh Raveendranatha Panicker

Ultrasound image quality depends on both the probe geometry and the transmit and receive processing, but engineers usually design the two separately. Physics-based simulators (Fiel…

eess.SP2026

Physics-Grounded Objective-Conditioned Deep Beamforming for Adaptive Resolution-Contrast Control in Plane-Wave Ultrasound Imaging

Gopika Gopikrishnan, Mahesh Raveendranatha Panicker

Plane-wave ultrasound enables ultrafast imaging but remains constrained by a receive-aperture-dependent resolution- contrast trade-off. Fine structures benefit from high spatial re…

eess.SP2025

BEAM-Net: A Deep Learning Framework with Bone Enhancement Attention Mechanism for High Resolution High Frame Rate Ultrasound Beamforming

Midhila Madhusoodanan, Mahesh Raveendranatha Panicker, Pisharody Harikrishnan Gopalakrishnan +1

Pocket-sized, low-cost point-of-care ultrasound (POCUS) devices are increasingly used in musculoskeletal (MSK) applications for structural examination of bone tissue. However, the…

eess.SP2024

Orthogonal Linear Array based Product Beamforming for Real Time Underwater 3D Acoustical Imaging

Mimisha M Menakath, Mahesh Raveendranatha Panicker, Hareesh G

Ocean exploration using acoustical 3D imaging is gaining popularity as it provides information about the 3D geometry of the targets even under mild turbid conditions. A major chall…

physics.med-ph2024★ 3 cited

On the Echogenicity of Natural Starch-Based Blood Mimicking Fluids for Contrast Enhanced Ultrasound Imaging: Preliminary In-vitro Experiments

V. Arun Kumar, A. N. Madhavanunni, S. Nivetha +1

Natural starch-based blood-mimicking fluid (BMF) has been used as an alternative to commercially available BMFs for in-vitro Doppler investigations in low-resource settings. Most r…

eess.SP2024★ 1 cited

A Performance Evaluation of Filtered Delay Multiply and Sum Beamforming for Ultrasound Localization Microscopy: Preliminary Results

A. N. Madhavanunni, Niya Mariam Benoy, Mahesh Raveendranatha Panicker +1

Ultrafast ultrasound localization microscopy (ULM), which has shown promising results in microvascular imaging, overcomes the typical trade-off between resolution and penetration d…

eess.IV2023

Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging

Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker +1

Accelerating compute intensive non-real-time beam-forming algorithms in ultrasound imaging using deep learning architectures has been gaining momentum in the recent past. Nonethele…

physics.med-ph2023

AI Enabled High Frame Rate Portable Ultrasound Imaging Pipeline: Prototype Implementation with GPU Acceleration

V. Arun Kumar, A. N. Madhavanunni, Mahesh Raveendranatha Panicker

In this paper, we present a GPU-accelerated prototype implementation of a portable ultrasound imaging pipeline on an Nvidia CLARA AGX development kit. The raw data is acquired with…

eess.IV2023

Towards Non-contact 3D Ultrasound for Wrist Imaging

Antony Jerald, A. N. Madhavanunni, Gayathri Malamal +1

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…

eess.IV2023

Fast Marching based Tissue Adaptive Delay Estimation for Aberration Corrected Delay and Sum Beamforming in Ultrasound Imaging

M. S. Asif, Gayathri Malamal, A. N. Madhavanunni +5

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. H…

eess.IV2023

On The Application Of Log Compression and Enhanced Denoising In Contrast Enhancement Of Digital Radiography Images

M. S. Asif, Mahesh Raveendranatha Panicker

Digital radiography (DR) is becoming popular for the point of care imaging in the recent past. To reduce the radiation exposure, controlled radiation based on as low as reasonably…

eess.IV2023

A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track

Antony Jerald, A. N. Madhavanunni, Gayathri Malamal +2

Ultrasound imaging is the most popular medical imaging modality for point-of-care bedside imaging. However, 2D ultrasound imaging provides only limited views of the organ of intere…

eess.SP2023

Ultrasound based Gas Detection: Analyzing Acoustic Impedance for High-Performance and Low-Cost Solutions

Ayush Singh, Harikrishnan Pisharody Gopalkrishnan, Mahesh Raveendranatha Panicker

Gas leakage is a serious hazard in a variety of sectors, including industrial, domestic, and gas-powered vehicles. The installation of gas leak detection systems has emerged as a c…

cs.RO2023

A Prototype System for High Frame Rate Ultrasound Imaging based Prosthetic Arm Control

Ayush Singh, Pisharody Harikrishnan Gopalkrishnan, Mahesh Raveendranatha Panicker

The creation of unique control methods for a hand prosthesis is still a problem that has to be addressed. The best choice of a human-machine interface (HMI) that should be used to…

eess.IV2022

Software Package for Automated Analysis of Lung Ultrasound Videos

Anito Anto, Linda Rose Jimson, Tanya Rose +2

In the recent past with the rapid surge of COVID-19 infections, lung ultrasound has emerged as a fast and powerful diagnostic tool particularly for continuous and periodic monitori…

eess.SP2022

Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging

Mayank Katare, Mahesh Raveendranatha Panicker, A N Madhavanunni +1

In the recent past, there have been many efforts to accelerate adaptive beamforming for ultrasound (US) imaging using neural networks (NNs). However, most of these efforts are base…

eess.IV2022

covEcho Resource constrained lung ultrasound image analysis tool for faster triaging and active learning

Jinu Joseph, Mahesh Raveendranatha Panicker, Yale Tung Chen +5

Lung ultrasound (LUS) is possibly the only medical imaging modality which could be used for continuous and periodic monitoring of the lung. This is extremely useful in tracking the…

eess.SP2021

Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipeline

Sairoop Bodepudi, A N Madhavanunni, Mahesh Raveendranatha Panicker

In the recent past, there have been several efforts in accelerating computationally heavy beamforming algorithms such as minimum variance distortionless response (MVDR) beamforming…

cs.CV2021

Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks

Adithya Sineesh, Mahesh Raveendranatha Panicker

With the introduction of anti-aliased convolutional neural networks (CNN), there has been some resurgence in relooking the way pooling is done in CNNs. The fundamental building blo…

eess.IV2021

Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging

Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker +7

Most applications of deep learning techniques in medical imaging are supervised and require a large number of labeled data which is expensive and requires many hours of careful ann…

eess.IV2021★ 1 cited

Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging

Roshan P Mathews, Mahesh Raveendranatha Panicker, Abhilash R Hareendranathan +6

The COVID-19 pandemic has highlighted the need for a tool to speed up triage in ultrasound scans and provide clinicians with fast access to relevant information. The proposed video…

eess.SP2021★ 7 cited

A Nonlinear Beamforming for Enhanced Spatiotemporal Sensitivity in High Frame Rate Ultrasound Flow Imaging

A. N. Madhavanunni, Mahesh Raveendranatha Panicker

Typically, an ultrasound flow imaging system employs the conventional delay and sum (DAS) beamformer due to its inherent low complexity. But the conventional DAS technique offers p…

eess.SP2021

An Angle Independent Depth Aware Fusion Beamforming Approach for Ultrafast Ultrasound Flow Imaging

A. N. Madhavanunni, Mahesh Raveendranatha Panicker

In the case of vector flow imaging systems, the most employed flow estimation techniques are the directional beamforming based cross correlation and the triangulation-based autocor…

eess.IV2021★ 1 cited

A Performance Investigation of Receive Beamforming Schemes in Specular Tissue Characterization

Gayathri Malamal, Mahesh Raveendranatha Panicker

This work presents a comparison of the delay and sum (DAS), filtered delay multiply and sum (DMAS), minimum variance (MV) and specular receive beamforming schemes in the context of…