K-wave simulation to understand the photoacoustic signal characteristic from various shapes of nanoparticle

Photoacoustic imaging technique has been widely discussed for their potential application in biomedical field. Current attempts in understanding the photoacoustic signal characteristics generated from various shapes of nanoparticles are done mostly through experimental synthesis which are usually ti...

Full description

Saved in:
Bibliographic Details
Main Author: Verawaty
Other Authors: Manojit Pramanik
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/65227
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-65227
record_format dspace
spelling sg-ntu-dr.10356-652272023-03-03T15:37:42Z K-wave simulation to understand the photoacoustic signal characteristic from various shapes of nanoparticle Verawaty Manojit Pramanik School of Chemical and Biomedical Engineering DRNTU::Engineering::Bioengineering Photoacoustic imaging technique has been widely discussed for their potential application in biomedical field. Current attempts in understanding the photoacoustic signal characteristics generated from various shapes of nanoparticles are done mostly through experimental synthesis which are usually time consuming and costly. In Recent years, computational simulation was introduced in studying photoacoustic signal. However complex equation modelling and numerical analysis are required. Therefore there is a need for an easy and fast simulation technique that helps in understanding the photoacoustic signal generated from various shapes of nanoparticles. k-Wave is a free accessed MATLAB based simulation toolbox which provide the ability to simulate photoacoustic signal in time domain given the initial pressure distribution of the target object. In this work, k-Wave simulation toolbox was used to simulate the photoacoustic signal generated from various shapes of nanoparticles. Seven shapes of nanoparticles are created mainly sphere, cylinder, hollow cylinder, cube, hollow cube, triangle, and nano star. A point sensor (ultrasound detector) is used to detect the photoacoustic signal generated by different shapes of nanoparticles. The simulated photoacoustic signal is presented in the form of frequency response and photoacoustic pressure graph which will be then used in understanding the impact of the shapes on photoacoustic signal characteristics. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2015-06-17T02:24:20Z 2015-06-17T02:24:20Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/65227 en Nanyang Technological University 39 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Verawaty
K-wave simulation to understand the photoacoustic signal characteristic from various shapes of nanoparticle
description Photoacoustic imaging technique has been widely discussed for their potential application in biomedical field. Current attempts in understanding the photoacoustic signal characteristics generated from various shapes of nanoparticles are done mostly through experimental synthesis which are usually time consuming and costly. In Recent years, computational simulation was introduced in studying photoacoustic signal. However complex equation modelling and numerical analysis are required. Therefore there is a need for an easy and fast simulation technique that helps in understanding the photoacoustic signal generated from various shapes of nanoparticles. k-Wave is a free accessed MATLAB based simulation toolbox which provide the ability to simulate photoacoustic signal in time domain given the initial pressure distribution of the target object. In this work, k-Wave simulation toolbox was used to simulate the photoacoustic signal generated from various shapes of nanoparticles. Seven shapes of nanoparticles are created mainly sphere, cylinder, hollow cylinder, cube, hollow cube, triangle, and nano star. A point sensor (ultrasound detector) is used to detect the photoacoustic signal generated by different shapes of nanoparticles. The simulated photoacoustic signal is presented in the form of frequency response and photoacoustic pressure graph which will be then used in understanding the impact of the shapes on photoacoustic signal characteristics.
author2 Manojit Pramanik
author_facet Manojit Pramanik
Verawaty
format Final Year Project
author Verawaty
author_sort Verawaty
title K-wave simulation to understand the photoacoustic signal characteristic from various shapes of nanoparticle
title_short K-wave simulation to understand the photoacoustic signal characteristic from various shapes of nanoparticle
title_full K-wave simulation to understand the photoacoustic signal characteristic from various shapes of nanoparticle
title_fullStr K-wave simulation to understand the photoacoustic signal characteristic from various shapes of nanoparticle
title_full_unstemmed K-wave simulation to understand the photoacoustic signal characteristic from various shapes of nanoparticle
title_sort k-wave simulation to understand the photoacoustic signal characteristic from various shapes of nanoparticle
publishDate 2015
url http://hdl.handle.net/10356/65227
_version_ 1759856375994777600