REALIZATION OF A CANINE POSITIONING DEVICE FOR IN SITU PROSTATE PHASE CONTRAST – COMPUTED TOMOGRAPHY IMAGING

Background: Worldwide, prostate cancer (PCa) is the most commonly diagnosed non-skin cancer in men. The current diagnostic standard of PCa requires invasive procedures such as needle biopsies. Non-invasive medical imaging techniques, such as Computed Tomography (CT), are only used as an adjunct for staging PCa. The development of a novel non-invasive imaging technique for PCa could revolutionize diagnostic standards and improve patient prognosis. The similarity between canine and human prostates, as well as similar PCa pathophysiology, makes the dog an ideal model for human PCa research. Initial investigations with Phase Contrast – CT (PC-CT) has shown potential for detecting morphological abnormalities in ex vivo canine prostates and therefore warrants further testing as a potential PCa diagnostic imaging technique. This research addresses the design, development and implementation of a canine positioning device used for in situ prostate PC-CT imaging on the Biomedical Imaging and Therapy –Insertion Device Beamline at the Canadian Light Source. This device is currently being used to collect micron-level resolution PC-CT reconstructions of canine cadaver prostates. This thesis lays the ground work for canine imaging on the BMIT – ID beamline at the CLS. The design and implementation of the device are described, along with the issues discovered and addressed

High dose rate brachytherapy treatment verification using a flat panel detector

High dose rate (HDR) brachytherapy treatments are usually delivered in large dose fractions and have the clinical advantage of highly conformal dose distributions due to the steep dose gradient produced by the 192Ir source. The routine use of 3D imaging for treatment planning enables clinical teams to finely optimise the dose distribution around the defined target while limiting dose to the surrounding organs at risk. A significant challenge in brachytherapy is to ensure the dose is delivered to the patient as planned, which can be challenging due to factors that impact the accuracy of dose delivery. Due to the high degree of manual processes in brachytherapy, the relative risk of treatment delivery error is high when compared to other radiotherapy modalities. Additionally, interstitial and intracavitary brachytherapy suffer from anatomical motion and swelling due to catheter (or applicator) implant trauma. There are two fundamental ways to verify a HDR brachytherapy treatment delivery: (i) verify the source dwell positions and times are as per the treatment plan, or (ii) perform a measurement in vivo with a dosimeter. Although reported in many small patient studies, in vivo dosimetry (IVD) has many limitations (e.g. detector position uncertainty and limited sampling) making the interpretation of results for treatment verification difficult. These challenges may be the reason for the limited routine application of IVD as a treatment verification technique. Since the treatment plan is a planned set of dwell positions and times, the former approach has the potential to verify the dose over the entire treatment volume. This thesis addresses the need to improve the methodology for treatment verification in HDR brachytherapy. This work aims to establish a verification technique that can be used routinely in the clinical environment, not impact the patient and provide data that can be confidently interpreted to verify the entire treatment delivery. To achieve this, a novel approach to treatment verification was investigated, avoiding the challenges of directly measuring dose. Measurements of the source position, during the treatment delivery (source tracking) were made, enabling direct comparison with the treatment plan for verification. Additionally, a method to establish a structured approach for performing this treatment verification process was accomplished, with the objective to enable routine use and widespread uptake of this process. The overall goal of this novel verification approach was to improve the quality of treatment delivery and patient safety in HDR brachytherapy. To investigate this new approach, a flat panel detector (FPD) was employed as the measurement device. The detector, originally designed for use as an electronic portal imaging device, was characterised for use with an 192Ir brachytherapy source. The FPD response and the image acquisition timing were investigated to demonstrate its capability for this work. The images of the response to the 192Ir source, acquired with the FPD, were interpreted by a range of algorithms, extracting metrics that could be correlated with the position of the source. A concept for integration into a clinical environment was developed, by placing the FPD in the treatment couch, immediately below the target volume. The potential for the brachytherapy implant to displace due to anatomical and other influences was addressed by performing pre-treatment image verification. An imaging geometry was established, allowing registration with the treatment plan, enabling identification and quantification of implant displacement (in the treatment bunker) immediately prior to treatment delivery. The relationship established between the measurement frame of reference and the treatment plan permitted direct comparison of the measured dwell positions with the planned dwell positions for verification of treatment delivery. Treatment delivery metrics were developed to detect the occurrence of a treatment error, and based on the unique signature of the error, identification of the error source was possible. This concept of treatment verification was transferred into the clinical environment and a patient measurement was performed to understand the challenges of clinical implementation. The FPD responded to the 192Ir source, for a range of clinically relevant distances (20 to 200 mm) away from the FPD despite the low dose rates and the changing photon spectrum. The image acquisition time was one image capture every 1.8 seconds, and although not designed for this application, the FPD was adequate to perform this proof of principle work. Using a range of algorithms, the images acquired by the FPD were processed to determine the source position. It was determined that a centre of mass approach was the most accurate method (x and y s.d. 0.3 and 0.1 mm, up to 200 mm from the FPD imaging plane) to determine source position in the 2D plane of the FPD. The influence of inhomogeneities and finite phantom geometry were quantified relative to their influence on the accuracy of determining the source position when applied in a clinical scenario. A structured approach to pre-treatment imaging was developed, with a robust method to perform a 3D reconstruction of the implant in the treatment bunker using a ‘shift image’ technique. A registration between the treatment planning system (TPS) and the measurement space (FPD) was established allowing quantitative evaluation of the implant changes since treatment planning imaging. Pre-treatment imaging was capable of identifying catheter displacements in the order of 2.0 mm with a confidence of 95%. Identification of a treatment delivery error was possible with the use of metrics that when combined define an error ‘signature’ that suggest the source of the error. The absolute relationship between the measurement space and the TPS allow error trapping to identify errors that would otherwise go undetected, for example an incorrect channel length definition error. This verification approach was applied successfully in a clinical setting. Pre-treatment imaging allowed confirmation that the implanted catheters had not significantly displaced prior to treatment and source tracking results confirmed the treatment was delivered as planned. The clinical implementation had minimal impact on the workflow, increasing the patient setup (and imaging) time by only 15 minutes while not adding any additional time to the radiation dose delivery portion of the treatment. This initial work using a FPD for treatment verification in HDR brachytherapy has highlighted the benefits of this approach. This novel approach provides multiple layers of verification, including pre-treatment imaging (in 2D and 3D) to identify potential sources of error prior to treatment delivery. Source tracking, in conjunction with pre-treatment imaging, provides quantitative verification of the entire treatment delivery, currently not possible with other methods. This approach establishes a new standard of verification which has the potential to improve the quality of treatment delivery and improves patient safety in HDR brachytherapy

Atlas numérique spatio-temporel des artères coronaires

Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal

Anatomical variants and coronary anomalies detected by dual-source coronary computed tomography angiography in North-eastern Thailand

Purpose: Congenital coronary anomalies are uncommon, with an incidence ranging from 0.17% in autopsy cases to 1.2% in angiographically evaluated cases. The recent development of dual-source coronary computed tomography angiography (coronary CTA) allows accurate and noninvasive depiction of coronary artery anomalies. Material and methods: A retrospective study included a total of 924 patients who underwent coronary CTA because of known or suspected coronary artery disease. In each study, coronary artery anomalies (CAs) were investigated. Results: A total of 924 patients (mean age 51.2 ±12.8 years), who underwent dual-source coronary CTA, were studied. The overall prevalence of CAs in our study was 3.7%, with the following distribution: four single coronary artery, 14 anomalous origin from opposite sinus of Valsalva, three absent left main, four high take-off coronary artery, three anomalous left coronary artery from pulmonary artery, and eight coronary artery fistulas. Conclusions: The present study supports the use of coronary CTA as a reliable noninvasive tool for defining anomalous coronary arteries in an appropriate clinical setting and provides detailed three-dimensional anatomic information that may be difficult to obtain with invasive coronary angiography

Three-dimensional reconstruction and NURBS-based structured meshing of coronary arteries from the conventional X-ray angiography projection images

Despite its two-dimensional nature, X-ray angiography (XRA) has served as the gold standard imaging technique in the interventional cardiology for over five decades. Accordingly, demands for tools that could increase efficiency of the XRA procedure for the quantitative analysis of coronary arteries (CA) are constantly increasing. The aim of this study was to propose a novel procedure for three-dimensional modeling of CA from uncalibrated XRA projections. A comprehensive mathematical model of the image formation was developed and used with a robust genetic algorithm optimizer to determine the calibration parameters across XRA views. The frames correspondences between XRA acquisitions were found using a partial-matching approach. Using the same matching method, an efficient procedure for vessel centerline reconstruction was developed. Finally, the problem of meshing complex CA trees was simplified to independent reconstruction and meshing of connected branches using the proposed nonuniform rational B-spline (NURBS)-based method. Because it enables structured quadrilateral and hexahedral meshing, our method is suitable for the subsequent computational modelling of CA physiology (i.e. coronary blood flow, fractional flow reverse, virtual stenting and plaque progression). Extensive validations using digital, physical, and clinical datasets showed competitive performances and potential for further application on a wider scale

3D Imaging for Planning of Minimally Invasive Surgical Procedures

Novel minimally invasive surgeries are used for treating cardiovascular diseases and are performed under 2D fluoroscopic guidance with a C-arm system. 3D multidetector row computed tomography (MDCT) images are routinely used for preprocedural planning and postprocedural follow-up. For preprocedural planning, the ability to integrate the MDCT with fluoroscopic images for intraprocedural guidance is of clinical interest. Registration may be facilitated by rotating the C-arm to acquire 3D C-arm CT images. This dissertation describes the development of optimal scan and contrast parameters for C-arm CT in 6 swine. A 5-s ungated C-arm CT acquisition during rapid ventricular pacing with aortic root injection using minimal contrast (36 mL), producing high attenuation (1226), few artifacts (2.0), and measurements similar to those from MDCT (p\u3e0.05) was determined optimal. 3D MDCT and C-arm CT images were registered to overlay the aortic structures from MDCT onto fluoroscopic images for guidance in placing the prosthesis. This work also describes the development of a methodology to develop power equation (R2\u3e0.998) for estimating dose with C-arm CT based on applied tube voltage. Application in 10 patients yielded 5.48┬▒177 2.02 mGy indicating minimal radiation burden. For postprocedural follow-up, combinations of non-contrast, arterial, venous single energy CT (SECT) scans are used to monitor patients at multiple time intervals resulting in high cumulative radiation dose. Employing a single dual-energy CT (DECT) scan to replace two SECT scans can reduce dose. This work focuses on evaluating the feasibility of DECT imaging in the arterial phase. The replacement of non-contrast and arterial SECT acquisitions with one arterial DECT acquisition in 30 patients allowed generation of virtual non-contrast (VNC) images with 31 dose savings. Aortic luminal attenuation in VNC (32┬▒177 2 HU) was similar to true non-contrast images (35┬▒177 4 HU) indicating presence of unattenuated blood. To improve discrimination between c