14 research outputs found

    Quasi-Exact Helical Cone Beam Reconstruction for Micro CT

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    A cone beam micro-CT system is set up to collect truncated helical cone beam data. This system includes a micro-focal X-ray source, a precision computer-controlled X-Y-Z-theta stage, and an image-intensifier coupled to a large format CCD detector. The helical scanning mode is implemented by rotating and translating the stage while keeping X-ray source and detector stationary. A chunk of bone and a mouse leg are scanned and quasi-exact reconstruction is performed using the approach proposed in J. Hu et al. (2001). This approach introduced the original idea of accessory paths with upper and lower virtual detectors having infinite axial extent. It has a filtered backprojection structure which is desirable in practice and possesses the advantages of being simple to implement and computationally efficient compared to other quasi-exact helical cone beam algorithms for the long object problem

    Post-Acquisition Small-Animal Respiratory Gated Imaging Using Micro Cone-Beam CT

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    On many occasions, it is desirable to image lungs in vivo to perform a pulmonary physiology study. Since the lungs are moving, gating with respect to the ventilatory phase has to be performed in order to minimize motion artifacts. Gating can be done in real time, similar to cardiac imaging in clinical applications, however, there are technical problems that have lead us to investigate different approaches. The problems include breath-to-breath inconsistencies in tidal volume, which makes the precise detection of ventilatory phase difficult, and the relatively high ventilation rates seen in small animals (rats and mice have ventilation rates in the range of a hundred cycles per minute), which challenges the capture rate of many imaging systems (this is particularly true of our system which utilizes cone-beam geometry and a 2 dimensional detector). Instead of pre-capture ventilation gating we implemented a method of post-acquisition gating. We acquire a sequence of projections images at 30 frames per second for each of 360 viewing angles. During each capture sequence the rat undergoes multiple ventilation cycles. Using the sequence of projection images, an automated region of interest algorithm, based on integrated grayscale intensity, tracts the ventilatory phase of the lungs. In the processing of an image sequence, multiple projection images are identified at a particular phase and averaged to improve the signal-to-ratio. The resulting averaged projection images are input to a Feldkamp cone-beam algorithm reconstruction algorithm in order to obtain isotropic image volumes. Minimal motion artifact data sets improve qualitative and quantitative analysis techniques useful in physiologic studies of pulmonary structure and function

    Cone beam tomographic image reconstruction: Algorithm development and application in small animal imaging

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    In order to increase scanning speed, the trend in clinical helical CT has been toward more detector rows, leading naturally to cone beam geometry. Therefore, algorithms accounting properly for the cone beam geometry have to be developed. There are two types of helical cone beam algorithms: one approximate, the other exact. Approximate methods are basically extensions of two dimensional tomography. They are usually efficient but will fail when the cone angle becomes large. Exact methods are based on inverse 3D Radon transform. They are relatively inefficient but their performance is independent of the cone angle. In this dissertation, we focus on the development of an exact helical cone beam algorithm for long object imaging. Our approach is based on the theory of short object imaging by Kudo et al . 1998. One of the key findings in their work is that filtering the truncated projection can be divided into two parts: One, finite in the axial direction, results from ramp filtering the data within the Tam window. The other, infinite in the z direction, results from unbounded filtering of ray sums over PI lines only. We show that for an ROI defined by PI lines emanating from the initial and final source positions on a helical segment, the boundary data which would otherwise contaminates the reconstruction of the ROI can be completely excluded. This novel definition of the ROI leads to a simple algorithm for long object imaging. The overscan of the algorithm is analytically calculated and it is the same as that of the zero boundary method. The reconstructed ROI can be divided into two regions: One is minimally contaminated by the portion outside the ROI, while the other is reconstructed free of contamination. Practical issues regarding algorithm implementation are also discussed. The key operators which need to be implemented in the algorithm are Tam windowing, derivatives and two-dimensional filters. A fractional value has to be assigned to the values straddling the boundary of the Tam window and the two-dimensional filtering has to be implemented with an oversampling technique to avoid the aliasing and DC shift artifact. Derivative can be implemented in either the spatial or frequency domain. Finally, we apply the proposed helical cone beam algorithm to a micro CT system for small animal imaging and show preliminary results. In the dissertation appendix, we also implement a ring artifact reduction algorithm for circular cone beam tomography and propose and implement a respiratory gating method for small animal imaging. (Abstract shortened by UMI.

    Dynamic Small Animal Lung Imaging Via a Postacquisition Respiratory Gating Technique Using Micro-Cone Beam Computed Tomography

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    Rationale and objectives Micro computed tomography is an important tool for small animal imaging. On many occasions, it is desirable to image lungs in a live instead of postmortem small animal to perform a pulmonary physiology study. Because the lungs are moving, gating with respect to the ventilatory phase has to be performed to reduce motion artifacts. Precapture ventilation gating may be difficult to achieve in some situations, which motivates us to propose and implement a simple postacquisition gating method. Materials and methods Rats were used as the subjects in this study. A sequence of low-dose projection images were acquired at 30 frames per second for each view angle. During each capture sequence the rat undergoes multiple ventilation cycles. Using the sequence of projection images, an automated region of interest algorithm, based on integrated grayscale intensity, tracts the ventilatory phase of the lungs. In the processing of an image sequence, multiple projection images are identified at a particular phase and averaged to improve the signal-to-noise ratio. The resulting averaged projection images from different view angles are input to a Feldkamp cone-beam algorithm reconstruction algorithm to obtain isotropic image volumes. Results Reconstructions with reduced movement artifacts are obtained. In the gated reconstruction, registration of the bone is much better, the edge of the lung is clearly defined, and structures within the lung parenchyma are better resolved. Also, different phases of a breathing cycle can be reconstructed from one single tomographic scan by the proposed gating method. Conclusion A postacquisition gating method using the phase information encoded in the 2-dimensional cone beam projections is proposed. This method is simple to implement and does not require additional experimental set-up to monitor the respiration. It may find applications in lung tumor detection, dynamic pulmonary physiology studies, and the respiratory systems modeling. Minimal motion artifact data sets improve qualitative and quantitative analysis techniques that are useful in physiologic studies of pulmonary structure and function

    Determination of Caspase‑3 Activity and Its Inhibition Constant by Combination of Fluorescence Correlation Spectroscopy with a Microwell Chip

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    Caspase-3 is a key enzyme executing apoptosis during ontogenesis and homeostasis of multicellular organisms, and is a very important and potential drug target in treatment of apoptosis disturbance. So far, no commercial drugs for caspase-3 are available, and it is urgently necessitated to develop an effective method for caspase-3 activity assay and its inhibitor screening. In this paper, we propose a new method for determination of caspase-3 activity and its inhibition constant by combining single molecule fluorescence correlation spectroscopy (FCS) with a microwell chip. Its principle is based on measurement of the enzyme reaction kinetics and homogeneous detection of the reaction product by FCS. This system can reduce the requirement sample volume to 1 μL level. The caspase-3 substrates are doubly labeled with fluorophore and biotin, the enzyme reaction can be quickly terminated in the presence of streptavidin, and the reaction products can be selectively detected by FCS. We established the model of caspase-3 inhibitor screening by combining the dynamics of enzyme reaction with FCS theory. This new method was successfully used for determination of inhibition constants of certain inhibitors and assay of drug-induced apoptosis. Compared to current methods, this method shows high sensitivity, small reagent dosage and short analysis time. We believe that this method will become an efficient platform for screening of caspase-3 inhibitors and detection of apoptosis
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