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Roy, Madhusudan
- Anomalous Ultrasonic Attenuation of Agarose Hydrogel
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Authors
Affiliations
1 Microelectronics Division, Saha Institute of Nuclear Physics, 1/AF Bidhan Nagar, Kolkata-700064, IN
1 Microelectronics Division, Saha Institute of Nuclear Physics, 1/AF Bidhan Nagar, Kolkata-700064, IN
Source
Journal of Pure and Applied Ultrasonics, Vol 31, No 2 (2009), Pagination: 61-66Abstract
An anomaly in ultrasound attenuation of agarose hydrogel studied over a temperature range of 283 K to 311 K, is observed. Anomalous ultrasound attenuation occurs at ~290 K. A theoretical model has been worked out to explain the anomaly. A differential scanning calorimetry (DSC) study shows an endothermic peak at ~290 K, indicating phase transition when scanned over a temperature range of 282 to 330 K at different heating rates. The investigation helps identify the range of temperature over which a gelatin/agar-based phantom may be used in mimicking tissues. This effect may also be explored in temperature imaging.Keywords
Ultrasound Attenuation, Agarose, Imonification, Pulse Echo, Time of Flight.- Photoacoustic Examination of Red Blood Cell Suspensions
Abstract Views :159 |
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Authors
Affiliations
1 Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata-700064, W.B., IN
1 Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata-700064, W.B., IN
Source
Journal of Pure and Applied Ultrasonics, Vol 35, No 4 (2013), Pagination: 125-128Abstract
This study aims to investigate the role of red blood cell (RBC) concentration on photoacoustics (PAs). The time dependent PA signals from a collection of RBCs were simulated using a recently developed theoretical model. This model assumes each RBC as a fluid sphere and the PA signals from many cells are generated by adding the contributions from the individual cells. A Monte Carlo technique was implemented to generate the random locations of RBCs within a 2D simulation volume (200×200 μm2) mimicking a tissue realization. The PA signals were simulated for the 355 and 532 nm irradiating optical radiations. Our simulation results demonstrated that PA signal amplitude increased monotonically with RBC concentration for both input radiations and exhibited similar trends with those of experiments. The experiments were conducted with porcine RBCs suspended in saline water. A Nd:YAG laser system was used to provide the desired radiation and the detection of acoustic signals were made by a needle hydrophone. Good agreement between theoretical and experimental results confirms the validity of the theoretical model.Keywords
Red Blood Cells, Photoacoustics, 2D Simulation.- Image Classification Based on Textural Analysis of Ultrasound Images of Normal Human Liver
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Authors
Anik Kumar Chakravorty
1,
Subhasree Mukherjee
1,
Kuntal Ghosh
2,
Ratan Kumar Saha
2,
Madhusudan Roy
3,
Suparna Mazumdar
2
Affiliations
1 Pailan College of Management & Technology, West Bengal University of Technology, Kolkata-69, IN
2 Microelectronics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata-64, IN
3 Department of Radiology, Chittaranjan National Cancer Institute, Kolkata-26, IN
1 Pailan College of Management & Technology, West Bengal University of Technology, Kolkata-69, IN
2 Microelectronics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata-64, IN
3 Department of Radiology, Chittaranjan National Cancer Institute, Kolkata-26, IN
Source
Journal of Pure and Applied Ultrasonics, Vol 28, No 2-4 (2006), Pagination: 105-113Abstract
Texture analysis based on spatial gray-level dependence (SGLD) matrix computation was carried out over the input ultrasound images of livers to extract features, namely, maximum probability, uniformity, entropy, element difference moment of order 2, inverse element difference moment of order 2, homogeneity, correlation and contrast. In this work thirty ultrasound scan images of human normal livers as identified by the physician were collected from hospital. From each image portion of the liver, five sub-images were suitably cropped and taken as an input image for analysis. Finally, an unsupervised neural network learning technique viz. Self Organising Map (SOM) was used to classify normal liver parenchyma.- Noninvasive Temperature Imaging Through Ultrasonic Attenuation
Abstract Views :145 |
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Authors
Affiliations
1 Microelectronics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata-700064, IN
1 Microelectronics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata-700064, IN