SPAD-based time-of-flight technologies for near-infrared spectroscopy
dc.contributor.advisor
Chitnis, Danial
dc.contributor.advisor
Henderson, Robert
dc.contributor.advisor
Gyongy, Istvan
dc.contributor.author
Hua, Yuanyuan
dc.contributor.sponsor
Engineering and Physical Sciences Research Council (EPSRC)
en
dc.contributor.sponsor
National Natural Science Foundation of China (NSFC)
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dc.contributor.sponsor
China Scholarship Council (CSC)
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dc.date.accessioned
2023-08-14T11:36:18Z
dc.date.available
2023-08-14T11:36:18Z
dc.date.issued
2023-08-14
dc.description.abstract
Near-infrared spectroscopy (NIRS) is a technique that applies light sources of multiple
wavelengths within the object for non-invasive property detection. The current NIRS techniques
include Continuous-Wave NIRS (CW-NIRS), Frequency-Domain NIRS (FD-NIRS), and
Time-Domain NIRS (TD-NIRS). Both CW-NIRS and FD-NIRS apply constant or intensitymodulated
photon-emitting light sources and photodiodes as sensors to detect the power of
the light from the target in a certain time. Even though FD-NIRS uses a frequency sinusoidal
function (MHz) for the modulation of the light source, which brings in more information than
CW-NIRS, such as average intensity (DC), the amplitude of intensity (AC), and phase shift
between the detected and emitted light, the sensitive nature of the frequency modulation
and detection techniques employed makes the measurements susceptible to motion artefacts
and environmental noise. These external factors can disrupt the phase and amplitude of
the modulated signal, resulting in distortions that impact the accuracy of the reconstruction
process and require careful consideration and mitigation strategies in the measurements.
TD-NIRS applies lasers as light sources and single-photon sensors for light detection, which
not only inherits the merits of CW-NIRS on the intensity measurement, but also provides up
to picosecond time resolution for the average photon path length calculation and the chance
to extract the absorption and scattering coefficient of the target for absolute haemoglobin
concentration qualification based on the nature of the histograms. The research on TD-NIRS
has been over 20 years, however, there are only few instruments in the market due to the
complexity of the system and the high price, which hinders its application for clinical practices
and daily care, and blocks the feedback from the actual usage. In recent years, high-resolution
and high-frequency laser drivers and sources, and single-photon detectors have become more
accessible and cheaper, which contributes to further research and development of TD-NIRS
systems.
This thesis targets to reduce the complexity and size of the TD-NIRS system while keeping the
quality of spatial resolution, time resolution, and frame acquisition rate, utilising laser diodes,
a Single Photon Avalanche Diode (SPAD) sensor, and a Field Programmable Gate Array
(FPGA) based processing circuits. Different from previous publications, the Time-to-Digital
Converter (TDC) is moved out of the SPAD and implemented in an FPGA for cost-saving and
system flexibility. A novel method is applied to the TDC by encoding the states of the delay
lines instead of the thermometer code used in the conventional TDCs to improve the linearity.
The achieved raw Differential Non-Linearity (DNL) which is the DNL without compensation and
calibration, together with the zero empty bins, to our knowledge, exceeds previously reported
of the FPGA-based TDCs. The TDC is applied to the TD-NIRS system, with the achieved
system Impulse Response Function (IRF) of 165 ps at the maximum repetition rate of 20
Mhz. The concept of different lasers with a sync phase shift of 2 ns to generate multi-IRFs in
one histogram frame was successfully proved, providing a high-speed and real-time solution
for achieving high spatial resolution.
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dc.identifier.uri
https://hdl.handle.net/1842/40860
dc.identifier.uri
http://dx.doi.org/10.7488/era/3613
dc.language.iso
en
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dc.publisher
The University of Edinburgh
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dc.relation.hasversion
Y. Hua and D. Chitnis, "A Highly Linear and Flexible FPGA-Based Time-to-Digital Converter," in IEEE Transactions on Industrial Electronics, vol. 69, no. 12, pp. 13744-13753, Dec. 2022, doi: 10.1109/TIE.2021.3128912
en
dc.relation.hasversion
J. Men, Y. Hua, C. Lei, X. Zhang, W. Zhang, “A Remote Events Synchronization Device”, 2021-03-16, ZL 2018 10831396.2. In Chinese
en
dc.relation.hasversion
Y. Hua, K. Bantounos, A. Venugopalan Nair Jalajakumari, A. Turpin, I. Underwood, and D. Chitnis. "A pulse oximeter based on time-of-flight histograms." In Photonic Instrumentation Engineering VIII, vol. 11693, pp. 33-41. SPIE, 2021.
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dc.relation.hasversion
Co-author: Y. Li, , Y. Hua, R. Henderson, and D. Chitnis. "A Photon Limited SiPM Based Receiver for Internet of Things." In 2021 Asia Communications and Photonics Conference (ACP), pp. 1-3. IEEE, 2021.
en
dc.relation.hasversion
Y. Hua, H. Mai, F. Dehkhoda, Y. Li, R. Henderson, and D. Chitnis. "A high-speed low nonlinearity FPGA-based time-to-digital converter for ToF imaging." In Quantum Photonics: Enabling Technologies, vol. 11579, p. 115790H. SPIE, 2020.
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dc.subject
SPAD-based time-of-flight technologies
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dc.subject
Near-infrared spectroscopy (NIRS)
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dc.subject
Time-Domain NIRS (TD-NIRS)
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dc.subject
frequency sinusoidal function (MHz)
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dc.subject
lasers as light sources
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dc.subject
single-photon sensors
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dc.subject
Single Photon Avalanche Diode (SPAD)
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dc.subject
Field Programmable Gate Array (FPGA)
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dc.subject
Time-to-Digital Converter (TDC)
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dc.subject
Differential Non-Linearity (DNL)
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dc.title
SPAD-based time-of-flight technologies for near-infrared spectroscopy
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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