PhD Defense of Mr. Bibin S. at 12 pm, 12 Feb at ME Auditorium
Venue:
ME Auditorium
February 12, 2025
PhD dissertation defense of Mr. Bibin S.
Title: Tumour Detection: A Surface Vibration Response Measurement Approach
Venue: ME Auditorium
Time/Date: 12 PM, 12 Feb 2025
Board of Examiners:
1. Chairman : Prof. Dipti Gupta, Metallurgical Engineering & Materials Science
2. External Examiner : Prof. Mira Mitra, Aerospace Engineering, IIT Kharagpur
3. Internal Examiner : Prof. Sripriya Ramamoorthy, Mechanical Engineering
4. Supervisor : Prof. Abhishek Gupta, Mechanical Engineering
5. Co-Supervisor : Prof. V. Kartik, Mechanical Engineering
Abstract: Tumour detection involves identifying the presence of abnormal growths within the body, which may indicate cancer. Early detection of tumours is crucial for timely diagnosis and treatment, especially in the case of breast tumours. This study explores low-cost, innovative methods for the preliminary detection of tumours by analysing surface vibration responses and exciter responses in tissue-mimicking phantoms.
The study examines the propagation of surface waves through a viscoelastic phantom subjected to mechanical point-load excitation. A comprehensive experimental setup is developed, including the preparation of a silicone rubber phantom, application of boundary conditions, and utilisation of a laser Doppler vibrometer (LDV) to measure surface vibrations. The results highlight the frequency-dependent behaviour of surface waves and validate the mathematical models of stretched string and stretched membrane on a viscoelastic foundation.
A tumour-mimicking inclusion is embedded within the homogeneous phantom to study the impact of tumours on surface wave propagation. The experimental setup and mathematical modelling are designed to analyse inclusion-induced changes in wave parameters such as natural frequencies, amplitude response, and phase response. The findings confirm the potential of using surface wave analysis for detecting inhomogeneities, thereby indicating the feasibility of using this method for non-invasive tumour detection. The experiments are repeated using low-cost micro-electromechanical systems (MEMS) accelerometers instead of LDV to measure surface vibration response, ensuring the possibility of this method to detect tumours at low cost.
Subsequently, the study introduces detection methods based on the response of an exciter moving along the phantom's surface. Both single-point and multi-point exciter devices are developed and characterised. The exciter-response method effectively identifies the presence and location of inclusions through variations in amplitude.
The research presented in this thesis contributes to the advancement of elastography and non- invasive tumour-detection technologies. By developing economical and effective methodologies, this work aims to make early cancer detection more accessible, particularly in resource-limited settings. The findings hold substantial potential for developing portable diagnostic tools that can improve healthcare outcomes through early intervention.
The study examines the propagation of surface waves through a viscoelastic phantom subjected to mechanical point-load excitation. A comprehensive experimental setup is developed, including the preparation of a silicone rubber phantom, application of boundary conditions, and utilisation of a laser Doppler vibrometer (LDV) to measure surface vibrations. The results highlight the frequency-dependent behaviour of surface waves and validate the mathematical models of stretched string and stretched membrane on a viscoelastic foundation.
A tumour-mimicking inclusion is embedded within the homogeneous phantom to study the impact of tumours on surface wave propagation. The experimental setup and mathematical modelling are designed to analyse inclusion-induced changes in wave parameters such as natural frequencies, amplitude response, and phase response. The findings confirm the potential of using surface wave analysis for detecting inhomogeneities, thereby indicating the feasibility of using this method for non-invasive tumour detection. The experiments are repeated using low-cost micro-electromechanical systems (MEMS) accelerometers instead of LDV to measure surface vibration response, ensuring the possibility of this method to detect tumours at low cost.
Subsequently, the study introduces detection methods based on the response of an exciter moving along the phantom's surface. Both single-point and multi-point exciter devices are developed and characterised. The exciter-response method effectively identifies the presence and location of inclusions through variations in amplitude.
The research presented in this thesis contributes to the advancement of elastography and non- invasive tumour-detection technologies. By developing economical and effective methodologies, this work aims to make early cancer detection more accessible, particularly in resource-limited settings. The findings hold substantial potential for developing portable diagnostic tools that can improve healthcare outcomes through early intervention.