X-ray computed tomography (CT) is a medical imaging framework. It takes measured projections of X-rays through two-dimensional cross-sections of an object from multiple angles and incorporates algorithms in building a sequence of two-dimensional reconstructions of the interior structure. This thesis comprises a review of the different types of algebraic algorithms used in X-ray CT. Using simulated test data, I evaluate the viability of algorithmic alternatives that could potentially reduce overexposure to radiation, as this is seen as a major health concern and the limiting factor in the advancement of CT [36, 34]. Most of the current evaluations in the literature [31, 39, 11] deal with low-resolution reconstructions and the results are impressive, however, modern CT applications demand very high-resolution imaging. Consequently, I selected ve of the fundamental algebraic reconstruction algorithms (ART, SART, Cimmino's Method, CAV, DROP) for extensive testing and the results are reported in this thesis. The quantitative numerical results obtained in this study, con rm the qualitative suggestion that algebraic techniques are not yet adequate for practical use. However, as algebraic techniques can actually produce an image from corrupt and/or missing data, I conclude that further re nement of algebraic techniques may ultimately lead to a breakthrough in CT. / UOIT

<p>The behavior of light after interacting with a biological medium reveals a wealth of information that may be used to distinguish between normal and disease states. This may be achieved by simply imaging the morphology of tissues or individual cells, and/or by more sophisticated methods that quantify specific surrogate biomarkers of disease. To this end, the work presented in this dissertation demonstrates novel tools derived from low coherence interferometry (LCI) that quantitatively measure wavelength-dependent scattering and absorption properties of biological samples, with high spectral resolution and micrometer spatial resolution, to provide insight into disease states. </p><p>The presented work first describes a dual window (DW) method, which decomposes a signal sampled in a single domain (in this case the frequency domain) to a distribution that simultaneously contains information from both the original domain and the conjugate domain (here, the temporal or spatial domain). As the name suggests, the DW method utilizes two independently adjustable windows, each with different spatial and spectral properties to overcome limitations found in other processing methods that seek to obtain the same information. A theoretical treatment is provided, and the method is validated through simulations and experiments. With this tool, the spatially dependent spectral behavior of light after interacting with a biological medium may be analyzed to extract parameters of interest, such as the scattering and absorption properties. </p><p>The DW method is employed to investigate scattering properties of samples using Fourier domain LCI (fLCI). In this method, induced temporal coherence effects provide insight into structural changes in dominant scatterers, such as cell nuclei within tissue, which can reveal the early stages of cancerous development. fLCI is demonstrated in complex, three-dimensional samples using a scattering phantom and an ex-vivo animal model. The results from the latter study show that fLCI is able to detect changes in the morphology of tissues undergoing precancerous development. </p><p>The DW method is also employed to enable a novel form of optical coherence tomography (OCT), an imaging modality that uses coherence gating to obtain micrometer-scale, cross-sectional information of tissues. The novel method, named molecular imaging true color spectroscopic OCT (METRiCS OCT), analyses the depth dependent absorption of light to ascertain quantitative information of chromophore concentration, such as hemoglobin. The molecular information is also processed to yield a true color representation of the sample, a unique capability of this approach. A number of experiments, including hemoglobin absorbing phantoms and in-vivo imaging of a chick embryo model and dorsal skinfold window chamber model, demonstrate the power of the method. </p><p>The final method presented in this dissertation, consists of a spectroscopic approach that interrogates the dispersive biochemical properties of samples to independently probe the scattering and absorption coefficients. To demonstrate this method, named non-linear phase dispersion spectroscopy (NLDS), a careful analysis of LCI signals is presented. The method is verified using measurements from samples that scatter and absorb light. Lastly, NLDS is combined with phase microscopy to achieve molecular imaging with sub-micron spatial resolution. Imaging of red blood cells (RBCs) shows that the method enables highly sensitive measurements that can quantify hemoglobin content from single RBCs.</p> / Dissertation

The goal of this thesis is to study the potential of optical spectroscopy as a clinical diagnostic tool for melanoma and nonmelanoma skin cancer. Skin cancer is the most common cancer in the United States. Like most cancers, early diagnosis and treatment improves patient prognosis for both melanoma and nonmelanoma skin cancer. However, current “gold standard” for diagnosis is invasive, costly and time-consuming. A diagnostic procedure consists of a clinical examination of the suspicious lesion, followed by biopsy and histopathology, with an additional turnaround time of approximately one week. There is a need for an accurate, objective, noninvasive, and faster method to aid physician in diagnosing cancerous lesions, increasing diagnosis accuracy while preventing unnecessary biopsies. We propose Spectral Diagnosis, a system capable of noninvasive in vivo spectroscopic examination of human skin. The research objectives are: (1) Probe pressure effects on in vivo spectroscopy measurements of human skin, (2) Clinical trial of Spectral Diagnosis, (3) Design, construction, and characterization of a confocal Raman microspectroscope. Spectral Diagnosis utilizes an optical fiber probe that transmits and collects optical spectra in contact with the suspected lesion. We identified short term and light probe pressure effects to be minimal on diagnostic parameters, and should not negatively influence diagnostic performance. We conducted a clinical trial at the University of Texas MD Anderson Cancer Center, and our results show that principal components from three spectroscopy modalities (diffuse reflectance spectroscopy, laser induced fluorescence spectroscopy, and Raman spectroscopy) provide excellent melanoma and nonmelanoma skin cancer diagnosis. We also constructed and characterized a Raman microspectroscope, with the goal of developing a physiological-based fitting model to better understand the analysis of in vivo Raman spectroscopy data from human skin tissue. / text

<p> In MRI, it is more desirable to scan less data as possible because it reduces MRI scanning time. We want to get a clear image by reconstructing the signals we acquire from the MRI machine. Special scanning or sampling techniques are needed to overcome this issue based on various mathematical methods. </p><p> We present an improved random sampling pattern for SAKE (simultaneous autocalibrating and k-space estimation) reconstruction and an iterative GRAPPA reconstruction using Wiener filter. </p><p> In our iterative method using Wiener filter, in contrast to the conventional GRAPPA where only the auto calibration signals (ACS) are used to find the convolution weights, our proposed method iteratively updates the convolution weights using both the acquired and reconstructed data from previous iterations in the entire k-space. To avoid error propagation, the method applies adaptive Wiener filter on the reconstructed data. Experimental results demonstrate that even with a smaller number of ACS lines the proposed method improves the SNR when compared to GRAPPA. </p><p> In compressed sensing MRI, it is very important to design sampling pattern for random sampling. For example, SAKE (simultaneous auto-calibrating and k-space estimation) is a parallel MRI reconstruction method using random undersampling. It formulates image reconstruction as a structured low-rank matrix completion problem. Variable density (VD) Poisson discs are typically adopted for 2D random sampling. The basic concept of Poisson disc generation is to guarantee samples are neither too close to nor too far away from each other. However, it is difficult to meet such a condition especially in the high density region. Therefore the sampling becomes inefficient. In this paper, we present an improved random sampling pattern for SAKE reconstruction. The pattern is generated based on a conflict cost with a probability model. The conflict cost measures how many dense samples already assigned are around a target location, while the probability model adopts the generalized Gaussian distribution which includes uniform and Gaussian-like distributions as special cases. Our method preferentially assigns a sample to a k-space location with the least conflict cost on the circle of the highest probability. To evaluate the effectiveness of the proposed random pattern, we compare the performance of SAKEs using both VD Poisson discs and the proposed pattern. Experimental results for brain data show that the proposed pattern yields lower normalized mean square error (NMSE) than VD Poisson discs.</p>

<p>MRI can benefit from an increase in the sensitivity of contrast agents. The CEST MRI technique in particular suffers from very poor sensitivity when using diamagnetic contrast agents. Polymerized CEST MRI contrast agents could increase the sensitivity per macromolecule over monomer contrast agents. The increase in sensitivity is related to the increase in number of contrast agents per polymer. A contrast agent with increased sensitivity can be used to image on the molecular level in vivo, where the concentration of targets is very low. A polymerized diaCEST contrast agent was synthesized by coupling a salicylic acid analogue to a poly (acrylic acid) backbone. The CEST effect of the coupled analogue was compared to its uncoupled form for different concentrations and pH values. A RL-QUEST method was used to calculate the exchange rate of the analogue for different pH values before and after coupling. The polymerized diaCEST agent was attempted to be loaded into DOPC and bis-SorbPC liposomes, and was also attempted to be targeted to folate receptors in a KB cell culture. These studies establish the foundation for translation of polymerized diaCEST contrast agents to additional in vitro and in vivo investigations. </p>

Thesis (M. Sc.)--University of Canterbury, 2006. / Typescript (photocopy). "Year: 2004-2006." Includes bibliographical references (leaves 108-112). Also available via the World Wide Web.

No description available.

OBJECTIVE: Nuclear medicine provides important clinical information for diagnostic and therapeutic purposes. Use of medical imaging has gradually increased in the United States and this has raised health concerns about the potential future risks associated with radiation exposure in children. While studies have evaluated the adverse effects of imaging procedures, there is insufficient evidence about communicating radiation risks. The overall purpose of this paper is to review radiation risks in pediatric imaging using published evidence by the World Health Organization and to evaluate the knowledge and attitude of caregivers towards radiation risks in pediatric imaging. Specifically, we aim to determine whether an educational brochure improves parental knowledge of radiation and/or changes in attitude and perception to allow their children to undergo dental radiographs. METHODS: A prospective sample survey was performed of caregivers who presented with their child to the Boston University Pediatric Oral Healthcare Center. Parents or legal guardians (18 years or older) who accompanied a child were eligible for inclusion and approached for enrollment. Pre- and post-survey questionnaires were used to evaluate parents’ or guardians’ level of knowledge and attitude about the risks and benefits of dental radiographs. Parents were also asked their comfort level to allow their child to undergo dental radiographs. After completing the pre-survey questionnaire, parents were asked to read the English-language informational handout. Statistical analysis was performed through Microsoft Excel 2013. Descriptive analysis was conducted to summarize the survey responses. RESULTS: Among 30 parents who were surveyed, a small proportion (30%) of parents were very comfortable with dentist using dental radiographs on their child, versus 57% after reading the handout. Results showed that the informational handout improved the parental knowledge of risks and benefits of ionizing radiation. Most parents indicated that the handout was helpful and they reported increased level of comfort and willingness in their children receiving radiation imaging during dental treatment procedures. DISCUSSION: Educating parents or caregivers through an informational handout is a helpful resource in improving their knowledge and in relieving their concerns. Informing parents about the risks of ionizing radiation does not change parental willingness for their children to undergo dental radiographs.

No description available.

<p> In the time since magnetic resonance imaging (MRI) was introduced, scientific progress has allowed for a factor-of-ten increase in static magnetic (B₀) field strength, and has developed MR into a clinical workhorse. This increase in B₀ field strength has the potential to provide significant gains to the inherent signal-to-noise ratio of resulting images. However, this progress has been limited by degradations in the spatial homogeneity of the radiofrequency magnetic fields used for nuclear excitation (B₁), which have wavelengths comparable to the dimensions of the human body in modern high-field MRI. Techniques to improve homogeneity, including B₁-shimming and parallel transmission, require multi-element radiofrequency (RF) transmit arrays. Increasing B₀ field strength is also associated with an increase in the deposition of RF energy into the subject, clinically measured and regulated as Specific energy Absorption Rate (SAR), deposited in tissue during image acquisition. High permittivity materials (HPMs) have the potential to augment RF coil performance outside of B₁-shimming or parallel transmission methods. The use of HPM pads placed in existing RF coils has also been shown to provide a potential reduction of array SAR in nuclear excitation, as well as potential performance benefits in signal reception. However, the question of how best to strategically use these materials in the space between the coil and the sample in order to maximize benefit and alleviate any potential problems has not yet been thoroughly addressed. </p><p> The contributions presented in this dissertation demonstrate the potential utility of the integration of HPMs into transmit-receive RF coils, as an integral component of the hardware design. A framework to quickly choose the relative permittivities of integrated materials, optimized relative to an absolute standard (rather than relative to a different design) is introduced, and used to demonstrate that readily available material properties can provide significant improvements in multi-element transmit performance. A subsequent analysis of practical effects and limitations of these materials on the RF coil resonance properties is performed, including the description of a unique adverse resonance splitting phenomenon and how to avoid it. A transmit/receive RF coil design is built and evaluated, first on its own experimentally, and then in simulation with a helmet-shaped high permittivity material former to examine the benefits and challenges associated with HPM integration into RF coils.</p><p>