7 research outputs found
Development of Pinhole X-ray Fluorescence Imaging System to Measure in vivo Biodistribution of Gold Nanoparticles
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μμ μ²΄λ΄ λΆν¬ μ°κ΅¬λ₯Ό μν μ μμμνμ© λΆμμμμ₯λΉλ‘μ νμ©ν μ μμ κ²μΌλ‘ κΈ°λνλ€.Purpose: This work aims to show the experimental feasibility for a dynamic in vivo X-ray fluorescence (XRF) imaging of gold in living mice exposed to gold nanoparticles (GNPs) using polychromatic X-rays. By collecting K-shell XRF photons using a 2D cadmium zinc telluride (CZT) gamma camera, the imaging system was expected to have a short image acquisition time and deliver a low radiation dose. This study also investigated the feasibility of using an L-shell XRF detection system with a single-pixel silicon drift detector (SDD) to measure ex vivo GNP concentrations from biological samples.
Methods: Six GNP columns of 0 % by weight (wt%), 0.125 wt%, 0.25 wt%, 0.5 wt%, 1.0 wt% and 2.0 wt% inserted in a 2.5 cm diameter polymethyl methacrylate (PMMA) phantom were used for acquiring a linear regression curve between the concentrations of GNPs and the K-shell XRF photons emitted from GNPs. A fan-beam of 140 kVp X-rays irradiated the phantom for 1 min in each GNP sample. The photon spectra were measured by the CZT gamma camera. The K-shell XRF counts were derived by subtracting the photon counts of the 0 wt% PMMA phantom (i.e., pre-scanning) from the photon counts of the GNP-loaded phantom (i.e., post-scanning). Furthermore, a 2D convolutional neural network (CNN) was applied to generate the K-shell XRF counts from the post-scanned data without the pre-scanning. For a more sensitive detection of the ex vivo concentrations of GNPs in the biological samples, the L-shell XRF detection system using the single-pixel SDD was developed. Six GNP samples of 2.34 ΞΌgβ300 ΞΌg Au/30 mg water (i.e., 0.0078 wt%β1.0 wt% GNPs) were used for acquiring a calibration curve to correlate the GNP mass to the L-shell XRF counts.
The kidney slices of three Balb/C mice were scanned at various periods after the injection of GNPs in order to acquire the quantitative information of GNPs. The concentrations of GNPs measured by the CZT gamma camera and the SDD were cross-compared and then validated by inductively coupled plasma atomic emission spectroscopy (ICP-AES). The radiation dose was assessed by the measurement of TLDs attached to the skin of the mice.
Results: The K-shell XRF images showed that the concentration of GNPs in the right kidneys from the mice was 1.58Β±0.15 wt% at T = 0 min after the injection. At T = 60 min after the injection, the concentration of GNPs in the right kidneys was reduced to 0.77Β±0.29 wt%. The K-shell XRF images generated by the 2D CNN were similar to those derived by the direct subtraction method. The measured ex vivo concentration of GNPs was 0.96Β±0.22 wt% by the L-shell XRF detection system while it was 1.00Β±0.50 wt% by ICP-AES. The radiation dose delivered to the skin of the mice was 107Β±4 mGy for acquiring one slice image by using the direct subtraction method while it was 53Β±2 mGy by using the 2D CNN.
Conclusions: A pinhole K-shell XRF imaging system with a 2D CZT gamma camera showed a dramatically reduced scan time and delivered a low radiation dose. Hence, a dynamic in vivo XRF imaging of gold in living mice exposed to GNPs was technically feasible in a benchtop configuration. In addition, an L-shell XRF detection system can be used to measure ex vivo concentrations of GNPs in biological samples. This imaging system could provide a potential in vivo molecular imaging for metal nanoparticles to emerge as a radiosensitizer and a drug-delivery agent in preclinical studies.CHAPTER I. INTRODUCTION 1
I.1 Applications of Metal Nanoparticles in Medicine 1
I.2 Molecular Imaging of Metal Nanoparticles 3
I.3 X-ray Fluorescence Imaging 5
I.3.1 Principle of X-ray Fluorescence Imaging 5
I.3.2 History of X-ray Fluorescence Imaging 8
I.3.3 Specific Aims 12
CHAPTER II. MATERIAL AND METHODS 15
II.1 Monte Carlo Model 15
II.1.1 Geometry of Monte Carlo Simulations 15
II.1.2 Image Processing 21
II.1.3 Radiation Dose 27
II.2 Development of Pinhole K-shell XRF Imaging System 28
II.2.1 System Configuration and Operation Scheme 28
II.2.2 Pinhole K-shell XRF Imaging System 31
II.2.2.1 Experimental Setup 31
II.2.2.2 Measurement of K-shell XRF Signal 36
II.2.2.3 Signal Processing: Correction Factors 39
II.2.2.4 Application of Convolutional Neural Network 42
II.2.3 K-shell XRF Detection System 45
II.2.3.1 Experimental Setup 45
II.2.3.2 Signal Processing 47
II.2.4 L-shell XRF Detection System 49
II.2.4.1 Experimental Setup 49
II.2.4.2 Signal Processing 51
II.3 In vivo Study in Mice 53
II.3.1 Experimental Setup 53
II.3.2 Dose Measurement 56
CHAPTER III. RESULTS 57
III.1 Monte Carlo Model 57
III.1.1 Geometric Efficiency, System and Energy Resolution 57
III.1.2 K-shell XRF Image by Monte Carlo Simulations 59
III.1.3 Radiation Dose 69
III.2. Development of Pinhole XRF Imaging System 70
III.2.1 Pinhole K-shell XRF Imaging System 70
III.2.1.1 Energy Calibration and Measurement of Field Size 70
III.2.1.2 Raw K-shell XRF Signal 73
III.2.1.3 Correction Factors 78
III.2.1.4 K-shell XRF Image 81
III.2.2 K-shell XRF Detection System 85
III.2.3 L-shell XRF Detection System 89
III.3 In vivo Study in Mice 92
III.3.1 In vivo K-shell XRF Image 92
III.3.2 Quantification of GNPs in Living Mice 96
III.3.3 Dose Measurement 101
CHAPTER IV. DISCUSSION 102
IV.1 Monte Carlo Model 102
IV.2 Development of Pinhole K-shell XRF Imaging System 104
IV.2.1 Quantification of GNPs 105
IV.2.2 Comparison between MC and Experimental Results 107
IV.2.3 Limitations 108
IV.2.3.1 Concentration 108
IV.2.3.2 System Resolution 110
IV.2.3.3 Radiation Dose 111
IV.2.4 Application of CNN 112
IV.2.5 Future Work 114
CHAPTER V. CONCLUSIONS 115
REFERENCES 116
ABSTRACT (in Korean) 123Docto
X-RAY SPECTRAL ANALYSIS IN X-RAY FLUORESCENCE IMAGING FOR BREAST CANCER DETECTION
The knowledge of X-ray spectrum plays a major role in exploiting and optimizing the X-ray utilizations, especially in biomedical application fields. Over the past decades, extensive research efforts have been made in better characterizing the X-ray spectral features in experimental and simulation studies. The objectives of this dissertation are to investigate the applications of X-ray spectral measurement and analysis in X-ray fluorescence (XRF) and micro-computed tomography (micro-CT) imaging modalities, to facilitate the development of new imaging modalities or to optimize the imaging performance of currently available imaging systems.
The structure and primary discoveries of this dissertation are as follows: after a brief introduction of the objectives of this dissertation in Chapter 1, Chapter 2 gives a comprehensive background including electromagnetic properties, various applications, and different generation mechanisms of X-rays and their interactions with matter, X-ray spectral measurement and analysis methods, XRF principles and applications for cancer detection, and micro-CT system. Considering relatively high fluorescence production probability and sufficient penetrability of gold KΞ± fluorescence signals, Chapter 3 establishes a theoretical model of a gold nanoparticle (GNP) K-shell XRF imaging prototype consisting of a pencil-beam X-ray for excitation and a single collimated spectrometer for XRF detection. Then, the optimal energy windows of 66.99Β±0.56keV and 68.80Β±0.56keV for two gold KΞ± fluorescence peaks are determined in Chapter 4. Also, the linear interpolation method for background estimation under the KΞ± fluorescence peaks is suggested in this chapter. Chapters 5 and 6 propose a novel XRF based imaging modality, X-ray fluorescence mapping (XFM) for the purpose of breast cancer detection, especially emphasizing on the detection of breast tumor located posteriorly, close to the chest wall musculature. The mapping results in these two chapters match well with the known spatial distributions and different GNP concentrations in 2D/3D reconstructions. Chapter 7 presents a method for determining the modulation transfer function (MTF) in XRF imaging modality, evaluating and improving the imaging performance of XFM. Moreover, this dissertation also investigates the importance of X-ray spectral measurement and analysis in a rotating gantry based micro-CT system. A practical alignment method for X-ray spectral measurement is first proposed using 3D printing technology in Chapter 8. With the measured results and corresponding spectral analysis, Chapter 9 further evaluates the impact of spectral filtrations on image quality indicators such as CT number uniformity, noise, and contrast to noise ratio (CNR) in the micro-CT system using a mouse phantom comprising 11 rods for modeling lung, muscle, adipose, and bones (various densities). With a baseline of identical entrance exposure to the imaged mouse phantom, the CNRs are degraded with improved beam quality for bone with high density and soft tissue, while are enhanced for bone with low density, lung, and muscle. Finally, Chapter 10 summarizes the whole dissertation and prospects the future research directions
Nanoparticles for tumour diagnostics
X-ray fluorescence techniques have proven beneficial for identifying and quantifying
trace elements in biological tissues. A novel approach has been developed that employs
x-ray fluorescence with an aim to locate the presence of nanoparticles, such as gold,
which are embedded into tissues. The nanoparticles can be functionalised to act as
markers for tumour characteristics to map the disease state, and then imaged to inform
cancer therapy regimes. The uptake of nanoparticles by cancer cells could also enable
detection of small clusters of infiltrating cancer cells which are currently missed by
commonly used imaging modalities. The novel system, consisting of an energy
resolving silicon drift detector with high spectral resolution, and a synchrotron source,
showed potential in both quantification of and sensitivity to nanoparticle concentrations
typically found in tumours. A linear relationship between fluorescence intensity and
nanoparticle concentration was found down to 0.001 mgAu/ml, the detection limit of
the system. A successful translation using a more clinically available bench-top x-ray
tube was demonstrated, and found not to degrade the linearity or detection limit. The
achieved system sensitivity suggests clinical usefulness in measuring tumour uptake in
vivo. A set of bio-phantoms consisting of collagen type 1 gel, populated with colorectal
cancer cells (HT29) and healthy murine fibroblast cells (3T3) that have been incubated
with gold nanoparticles (GNPs), were created. The bio-samples were successfully used
to (i) demonstrate GNP uptake in cells, and (ii) demonstrate the use of the novel benchtop
system in measuring GNP uptake in cells. Translation to a 2D imaging technique
was undertaken, using polycapillary optic technology to acquire positional information
of gold XRF emissions, and energy resolving single channel and pixellated detectors.
The GNP-imaging capabilities of the XRF technique were demonstrated using Perspex
phantoms incorporating different GNP concentrations. Details of phantoms with
concentrations as low as 0.025 mgAu/ml have been successfully imaged, with potential
to image lower concentrations. It can be inferred from feasibility data collected that the
x-ray fluorescence technique can be combined with x-ray diffraction methods to form a
novel multi-modality system that is sensitive to GNP distribution and can discriminate
biological tissue. Future work will develop this combined system to locate tumours and
provide information on tumour characteristics
On the clinical potential of ion computed tomography with different detector systems and ion species
On the clinical potential of ion computed tomography with different detector systems and ion species
Molecular Imaging
The present book gives an exceptional overview of molecular imaging. Practical approach represents the red thread through the whole book, covering at the same time detailed background information that goes very deep into molecular as well as cellular level. Ideas how molecular imaging will develop in the near future present a special delicacy. This should be of special interest as the contributors are members of leading research groups from all over the world