A5030249756- Photoacoustic and Ultrasonic Imaging
- Optical Imaging and Spectroscopy Techniques
- Thermography and Photoacoustic Techniques
- Nanoplatforms for cancer theranostics
- Augmented Reality Applications
- Surgical Simulation and Training
- Reproductive Biology and Fertility
- Phonocardiography and Auscultation Techniques
- ECG Monitoring and Analysis
- Optical Coherence Tomography Applications
- Anatomy and Medical Technology
- Rock Mechanics and Modeling
- Image Processing Techniques and Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Ultrasound Imaging and Elastography
- Geoscience and Mining Technology
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- COVID-19 diagnosis using AI
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Response to Dynamic Loads
- Water Quality and Pollution Assessment
- Mineral Processing and Grinding
- Digital Imaging for Blood Diseases
Indian Institute of Technology Kharagpur
2010-2024
Bir Hospital
2024
National Academy of Medical Sciences
2024
Heidelberg University
2019-2023
German Cancer Research Center
2019-2023
Jain University
2023
Pandit Ravishankar Shukla University
2023
Technical University of Munich
2014-2022
Helmholtz Zentrum München
2014-2020
Vanderbilt University
2019
Segmentation of biomedical images is essential for studying and characterizing anatomical structures as well detection evaluation tissue pathologies. has been further shown to enhance the reconstruction performance in many tomographic imaging modalities by accounting heterogeneities excitation field properties imaged region. This particularly relevant optoacoustic tomography, where discontinuities optical acoustic properties, if not properly accounted for, may result deterioration...
Artificial intelligence (AI) and machine learning (ML) have influenced medicine in myriad ways, medical imaging is at the forefront of technological transformation. Recent advances AI/ML fields made an impact on image analysis across board, from microscopy to radiology. AI has been active field research since 1950s; however, for most this period, algorithms achieved subhuman performance were not broadly adopted medicine. enhancements computational hardware enabling researchers revisit old...
In tomographic optoacoustic imaging, multiple parameters related to both light and ultrasound propagation characteristics of the medium need be adequately selected in order accurately recover maps local optical absorbance. Speed sound imaged object surrounding is a key parameter conventionally assumed uniform. Mismatch between actual predicted speed values may lead image distortions but can mitigated by manual or automatic optimization based on metrics sharpness. Although some simple...
Objective:Optoacoustic (photoacoustic) tomography is aimed at reconstructing maps of the initial pressure rise induced by absorption light pulses in tissue. In practice, due to inaccurate assumptions forward model, noise and other experimental factors, images are often afflicted artifacts, occasionally manifested as negative values. The aim work develop an inversion method which reduces occurrence values improves quantitative performance optoacoustic imaging. Methods: We present a novel for...
This paper presents an optimized normalized cut method for segmentation of RBCs infected with malarial parasites using peripheral blood smears. The algorithm is applied over various color spaces to find its optimal performance microscopic smear images. We tested the efficacy results in RGB, YCbCr, HSV and NTSC Rand's Index. work useful telepathology applications can automate screening malaria rural areas where healthcare manpower limited.
The delay-and-sum (DAS) algorithm is widely used for beamforming in linear array photoacoustic (PA) imaging systems and characterized by fast execution. However, these algorithms suffer from various drawbacks, such as low resolution, contrast, high sidelobe artifacts, lack of visual coherence. More recently, adaptive weighting was introduced to improve the reconstruction image quality. Unfortunately, existing state-of-the-art are computationally expensive do not consider specific noise...
High fidelity optoacoustic (photoacoustic) tomography requires dense spatial sampling of signals using point acoustic detectors. However, in practice, resolution the images is often limited by either due to coarse multi-element arrays or time raster scan measurements. Herein, we investigate a method that integrates information from multiple acquired at sub-diffraction steps into one high image means an iterative registration algorithm. Experimental validations performed target phantoms and...
This paper presents a fast and accurate auto white balance scheme specifically suited for (WB) correction in digital pathology applications. The uses low-level statistics based technique illuminant estimation linear transformation method image correction. WB performance of the proposed has been tested various real life conditions found to be within just noticeable difference ideal scenario.
The invention is inspired by the desire to understand opportunities and expectations of developing economies in terms healthcare. designed system a point-of-care (POC) device that can deliver heart-care services rural population bridge rural-urban divide healthcare delivery. product design incorporates several innovations including effective use adaptive multiresolution signal-processing techniques for acquisition, denoising, segmentation, characterization heart sounds (HS) murmurs using an...
student community, especially the young people in science, technology, engineering, and math (STEM) programs, university students, professionals. The pervasiveness of communication technologies, telecom revolution India, brought required outlook encouragement for
Despite the ancient discovery of basic physical phenomenon underlying optoacoustic imaging and tomography [1], lack suitable laser sources, ultrasound detection technology, data acquisition, processing capacities has long hindered realization efficient devices. In fact, first high-quality images from living animals were obtained about a decade ago (Figure 1), which was followed by an exponential growth technical developments in instrumentation, algorithms, biomedical applications surrounding...
In this article, we present a novel scheme for segmenting the image boundary (with background) in optoacoustic small animal vivo imaging systems. The method utilizes multiscale edge detection algorithm to generate binary map. A scale dependent morphological operation is employed clean spurious edges. Thereafter, an ellipse fitted map through constrained parametric transformations and iterative goodness of fit calculations. delimits tissue edges curve fitting model, which has shown high...
Blood Pressure (BP) is often coined as a critical physiological marker for cardiovascular health. Multiple studies have explored either Photoplethysmogram (PPG) or ECG-PPG derived features continuous BP estimation using machine learning (ML); deep (DL) techniques. Majority of those lack stringent biological explanation and are not significantly correlated with BP. In this paper, we identified several clinically relevant (bio-inspired) ECG PPG features; exploited them to estimate Systolic...
This paper presents the acquisition of heart sound signals and its separation from lung sounds based on adaptive filtering technique. After signal acquisition, normal linear techniques is not capable separated two sounds, as both overlap in spatial well temporal domains. Because tracking noise elimination capability line enhancer (ALE) it can be used for denoising sounds. Here methods ALE have been discussed; using least mean square (LMS) recursive (RLS). A comparative analysis has carried...
Visual observation of Cumulus Oocyte Complexes provides only limited information about its functional competence, whereas the molecular evaluations methods are cumbersome or costly. Image analysis mammalian oocytes can provide attractive alternative to address this challenge. However, it is complex, given huge number under inspection and subjective nature features inspected for identification. Supervised machine learning like random forest with annotations from expert biologists make task...
Microscope optics presents two critical limitations of low depth field and very or no perception. Due to field, at high magnification levels microscope cannot adequately focus on the object. This can adversely affect performance slide digitization procedure in digital pathology. paper a extension 3D visualization technique for pathological applications. The uses sequence images object generation resolution extended view scene by volume such as ray casting. work is directed towards...
Abstract Study of the disease demographics in human population indicates that cardiac ailments are primary cause premature death, and a need for emergent technologies is felt to address rising trend. However, development automated heart sound analysis system its usage at grassroot levels pre-screening have been hindered by lack proper understanding intrinsic characteristics auscultation. In this article we present an investigatory report based on nationwide survey conducted practice...
Introduction: This study compares five augmented reality (AR) vasculature visualization techniques in a mixed-reality laparoscopy simulator with 50 medical professionals and analyzes their impact on the surgeon. Material methods: The different techniques' abilities to convey depth were measured using participant's accuracy an objective sorting task. Demographic data subjective measures, such as preference of each AR technique potential application areas, collected questionnaires. Results:...
Cardiac auscultation is one of the classical methods used by physicians for diagnosis cardiac abnormalities. There have been attempts to develop complex algorithms automated based on heart sounds. It however, observed that developmental work towards integrated system targeted mass screening has relatively low. In this paper, we propose a new framework analysis acoustical signals which suitable development point care healthcare products. Wavelet employed denoising signal enables systems...