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Proceedings of SPIE

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https://www.readbyqxmd.com/read/28781415/development-and-characterization-of-an-8%C3%A3-8-spad-array-module-for-gigacount-per-second-applications
#1
Francesco Ceccarelli, Angelo Gulinatti, Ivan Labanca, Ivan Rech, Massimo Ghioni
In recent years the development of Single-Photon Avalanche Diodes (SPADs) had a big impact on single-photon counting applications requiring high-performance detectors in terms of Dark Count Rate (DCR), Photon Detection Efficiency (PDE), afterpulsing probability, etc. Among these, it is possible to find applications in single-molecule fluorescence spectroscopy that suffer from long-time measurements. In these cases SPAD arrays can be a solution in order to shorten the measurement time, thanks to the high grade of parallelism they can provide...
April 24, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28458443/renal-stone-characterization-using-high-resolution-imaging-mode-on-a-photon-counting-detector-ct-system
#2
A Ferrero, R Gutjahr, A Henning, S Kappler, A Halaweish, D Abdurakhimova, Z Peterson, J Montoya, S Leng, C McCollough
In addition to the standard-resolution (SR) acquisition mode, a high-resolution (HR) mode is available on a research photon-counting-detector (PCD) whole-body CT system. In the HR mode each detector consists of a 2x2 array of 0.225 mm × 0.225 mm subpixel elements. This is in contrast to the SR mode that consists of a 4x4 array of the same sub-elements, and results in 0.25 mm isotropic resolution at iso-center for the HR mode. In this study, we quantified ex vivo the capabilities of the HR mode to characterize renal stones in terms of morphology and mineral composition...
March 9, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28867867/computer-assisted-adjuncts-for-aneurysmal-morphologic-assessment-toward-more-precise-and-accurate-approaches
#3
Hamidreza Rajabzadeh-Oghaz, Nicole Varble, Jason M Davies, Ashkan Mowla, Hakeem J Shakir, Ashish Sonig, Hussain Shallwani, Kenneth V Snyder, Elad I Levy, Adnan H Siddiqui, Hui Meng
Neurosurgeons currently base most of their treatment decisions for intracranial aneurysms (IAs) on morphological measurements made manually from 2D angiographic images. These measurements tend to be inaccurate because 2D measurements cannot capture the complex geometry of IAs and because manual measurements are variable depending on the clinician's experience and opinion. Incorrect morphological measurements may lead to inappropriate treatment strategies. In order to improve the accuracy and consistency of morphological analysis of IAs, we have developed an image-based computational tool, AView...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28781414/test-suite-for-image-based-motion-estimation-of-the-brain-and-tongue
#4
Jordan Ramsey, Jerry L Prince, Arnold D Gomez
Noninvasive analysis of motion has important uses as qualitative markers for organ function and to validate biomechanical computer simulations relative to experimental observations. Tagged MRI is considered the gold standard for noninvasive tissue motion estimation in the heart, and this has inspired multiple studies focusing on other organs, including the brain under mild acceleration and the tongue during speech. As with other motion estimation approaches, using tagged MRI to measure 3D motion includes several preprocessing steps that affect the quality and accuracy of estimation...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28781413/improving-graph-based-oct-segmentation-for-severe-pathology-in-retinitis-pigmentosa-patients
#5
Andrew Lang, Aaron Carass, Ava K Bittner, Howard S Ying, Jerry L Prince
Three dimensional segmentation of macular optical coherence tomography (OCT) data of subjects with retinitis pigmentosa (RP) is a challenging problem due to the disappearance of the photoreceptor layers, which causes algorithms developed for segmentation of healthy data to perform poorly on RP patients. In this work, we present enhancements to a previously developed graph-based OCT segmentation pipeline to enable processing of RP data. The algorithm segments eight retinal layers in RP data by relaxing constraints on the thickness and smoothness of each layer learned from healthy data...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28781412/multi-modal-and-targeted-imaging-improves-automated-mid-brain-segmentation
#6
Andrew J Plassard, Pierre F D'Haese, Srivatsan Pallavaram, Allen T Newton, Daniel O Claassen, Benoit M Dawant, Bennett A Landman
The basal ganglia and limbic system, particularly the thalamus, putamen, internal and external globus pallidus, substantia nigra, and sub-thalamic nucleus, comprise a clinically relevant signal network for Parkinson's disease. In order to manually trace these structures, a combination of high-resolution and specialized sequences at 7T are used, but it is not feasible to scan clinical patients in those scanners. Targeted imaging sequences at 3T such as F-GATIR, and other optimized inversion recovery sequences, have been presented which enhance contrast in a select group of these structures...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28781411/multi-scale-hippocampal-parcellation-improves-atlas-based-segmentation-accuracy
#7
Andrew J Plassard, Maureen McHugo, Stephan Heckers, Bennett A Landman
Known for its distinct role in memory, the hippocampus is one of the most studied regions of the brain. Recent advances in magnetic resonance imaging have allowed for high-contrast, reproducible imaging of the hippocampus. Typically, a trained rater takes 45 minutes to manually trace the hippocampus and delineate the anterior from the posterior segment at millimeter resolution. As a result, there has been a significant desire for automated and robust segmentation of the hippocampus. In this work we use a population of 195 atlases based on T1-weighted MR images with the left and right hippocampus delineated into the head and body...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28781410/automatic-selection-of-landmarks-in-t1-weighted-head-mri-with-regression-forests-for-image-registration-initialization
#8
Jianing Wang, Yuan Liu, Jack H Noble, Benoit M Dawant
Medical image registration establishes a correspondence between images of biological structures and it is at the core of many applications. Commonly used deformable image registration methods are dependent on a good preregistration initialization. The initialization can be performed by localizing homologous landmarks and calculating a point-based transformation between the images. The selection of landmarks is however important. In this work, we present a learning-based method to automatically find a set of robust landmarks in 3D MR image volumes of the head to initialize non-rigid transformations...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736474/phenotype-analysis-of-early-risk-factors-from-electronic-medical-records-improves-image-derived-diagnostic-classifiers-for-optic-nerve-pathology
#9
Shikha Chaganti, Kunal P Nabar, Katrina M Nelson, Louise A Mawn, Bennett A Landman
We examine imaging and electronic medical records (EMR) of 588 subjects over five major disease groups that affect optic nerve function. An objective evaluation of the role of imaging and EMR data in diagnosis of these conditions would improve understanding of these diseases and help in early intervention. We developed an automated image-processing pipeline that identifies the orbital structures within the human eyes from computed tomography (CT) scans, calculates structural size, and performs volume measurements...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736473/theoretical-and-empirical-comparison-of-big-data-image-processing-with-apache-hadoop-and-sun-grid-engine
#10
Shunxing Bao, Frederick D Weitendorf, Andrew J Plassard, Yuankai Huo, Aniruddha Gokhale, Bennett A Landman
The field of big data is generally concerned with the scale of processing at which traditional computational paradigms break down. In medical imaging, traditional large scale processing uses a cluster computer that combines a group of workstation nodes into a functional unit that is controlled by a job scheduler. Typically, a shared-storage network file system (NFS) is used to host imaging data. However, data transfer from storage to processing nodes can saturate network bandwidth when data is frequently uploaded/retrieved from the NFS, e...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736472/a-radiative-transfer-equation-based-image-reconstruction-method-incorporating-boundary-conditions-for-diffuse-optical-imaging
#11
Abhinav K Jha, Yansong Zhu, Dean F Wong, Arman Rahmim
Developing reconstruction methods for diffuse optical imaging requires accurate modeling of photon propagation, including boundary conditions arising due to refractive index mismatch as photons propagate from the tissue to air. For this purpose, we developed an analytical Neumann-series radiative transport equation (RTE)-based approach. Each Neumann series term models different scattering, absorption, and boundary-reflection events. The reflection is modeled using the Fresnel equation. We use this approach to design a gradient-descent-based analytical reconstruction algorithm for a three-dimensional (3D) setup of a diffuse optical imaging (DOI) system...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736471/comparison-of-multi-fiber-reproducibility-of-pas-mri-and-q-ball-with-empirical-multiple-b-value-hardi
#12
Vishwesh Nath, Kurt G Schilling, Justin A Blaber, Zhaohua Ding, Adam W Anderson, Bennett A Landman
Crossing fibers are prevalent in human brains and a subject of intense interest for neuroscience. Diffusion tensor imaging (DTI) can resolve tissue orientation but is blind to crossing fibers. Many advanced diffusion-weighted magnetic resolution imaging (MRI) approaches have been presented to extract crossing-fibers from high angular resolution diffusion imaging (HARDI), but the relative sensitivity and specificity of approaches remains unclear. Here, we examine two leading approaches (PAS and q-ball) in the context of a large-scale, single subject reproducibility study...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736470/structural-functional-relationships-between-eye-orbital-imaging-biomarkers-and-clinical-visual-assessments
#13
Xiuya Yao, Shikha Chaganti, Kunal P Nabar, Katrina Nelson, Andrew Plassard, Rob L Harrigan, Louise A Mawn, Bennett A Landman
Eye diseases and visual impairment affect millions of Americans and induce billions of dollars in annual economic burdens. Expounding upon existing knowledge of eye diseases could lead to improved treatment and disease prevention. This research investigated the relationship between structural metrics of the eye orbit and visual function measurements in a cohort of 470 patients from a retrospective study of ophthalmology records for patients (with thyroid eye disease, orbital inflammation, optic nerve edema, glaucoma, intrinsic optic nerve disease), clinical imaging, and visual function assessments...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736469/improved-automatic-optic-nerve-radius-estimation-from-high-resolution-mri
#14
Robert L Harrigan, Alex K Smith, Louise A Mawn, Seth A Smith, Bennett A Landman
The optic nerve (ON) is a vital structure in the human visual system and transports all visual information from the retina to the cortex for higher order processing. Due to the lack of redundancy in the visual pathway, measures of ON damage have been shown to correlate well with visual deficits. These measures are typically taken at an arbitrary anatomically defined point along the nerve and do not characterize changes along the length of the ON. We propose a fully automated, three-dimensionally consistent technique building upon a previous independent slice-wise technique to estimate the radius of the ON and surrounding cerebrospinal fluid (CSF) on high-resolution heavily T2-weighted isotropic MRI...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736468/multi-atlas-spleen-segmentation-on-ct-using-adaptive-context-learning
#15
Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G Abramson, Bennett A Landman
Automatic spleen segmentation on CT is challenging due to the complexity of abdominal structures. Multi-atlas segmentation (MAS) has shown to be a promising approach to conduct spleen segmentation. To deal with the substantial registration errors between the heterogeneous abdominal CT images, the context learning method for performance level estimation (CLSIMPLE) method was previously proposed. The context learning method generates a probability map for a target image using a Gaussian mixture model (GMM) as the prior in a Bayesian framework...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736467/stability-of-gradient-field-corrections-for-quantitative-diffusion-mri
#16
Baxter P Rogers, Justin Blaber, E Brian Welch, Zhaohua Ding, Adam W Anderson, Bennett A Landman
In magnetic resonance diffusion imaging, gradient nonlinearity causes significant bias in the estimation of quantitative diffusion parameters such as diffusivity, anisotropy, and diffusion direction in areas away from the magnet isocenter. This bias can be substantially reduced if the scanner- and coil-specific gradient field nonlinearities are known. Using a set of field map calibration scans on a large (29 cm diameter) phantom combined with a solid harmonic approximation of the gradient fields, we predicted the obtained b-values and applied gradient directions throughout a typical field of view for brain imaging for a typical 32-direction diffusion imaging sequence...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28690357/federating-heterogeneous-datasets-to-enhance-data-sharing-and-experiment-reproducibility
#17
Juan C Prieto, Beatriz Paniagua, Marilia S Yatabe, Antonio C O Ruellas, Liana Fattori, Luciana Muniz, Martin Styner, Lucia Cevidanes
Recent studies have demonstrated the difficulties to replicate scientific findings and/or experiments published in past.(1) The effects seen in the replicated experiments were smaller than previously reported. Some of the explanations for these findings include the complexity of the experimental design and the pressure on researches to report positive findings. The International Committee of Medical Journal Editors (ICMJE) suggests that every study considered for publication must submit a plan to share the de-identified patient data no later than 6 months after publication...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28690356/diagnostic-index-an-open-source-tool-to-classify-tmj-oa-condyles
#18
Beatriz Paniagua, Laura Pascal, Juan Prieto, Jean Baptiste Vimort, Liliane Gomes, Marilia Yatabe, Antonio Carlos Ruellas, Francois Budin, Steve Pieper, Martin Styner, Erika Benavides, Lucia Cevidanes
Osteoarthritis (OA) of temporomandibular joints (TMJ) occurs in about 40% of the patients who present TMJ disorders. Despite its prevalence, OA diagnosis and treatment remain controversial since there are no clear symptoms of the disease, especially in early stages. Quantitative tools based on 3D imaging of the TMJ condyle have the potential to help characterize TMJ OA changes. The goals of the tools proposed in this study are to ultimately develop robust imaging markers for diagnosis and assessment of treatment efficacy...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28690355/evaluation-of-lung-tumor-motion-management-in-radiation-therapy-with-dynamic-mri
#19
Seyoun Park, Rana Farah, Steven M Shea, Erik Tryggestad, Russell Hales, Junghoon Lee
Surrogate-based tumor motion estimation and tracing methods are commonly used in radiotherapy despite the lack of continuous real time 3D tumor and surrogate data. In this study, we propose a method to simultaneously track the tumor and external surrogates with dynamic MRI, which allows us to evaluate their reproducible correlation. Four MRI-compatible fiducials are placed on the patient's chest and upper abdomen, and multi-slice 2D cine MRIs are acquired to capture the lung and whole tumor, followed by two-slice 2D cine MRIs to simultaneously track the tumor and fiducials, all in sagittal orientation...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28663663/design-optimization-for-accurate-flow-simulations-in-3d-printed-vascular-phantoms-derived-from-computed-tomography-angiography
#20
Kelsey Sommer, Richard L Izzo, Lauren Shepard, Alexander R Podgorsak, Stephen Rudin, Adnan H Siddiqui, Michael F Wilson, Erin Angel, Zaid Said, Michael Springer, Ciprian N Ionita
3D printing has been used to create complex arterial phantoms to advance device testing and physiological condition evaluation. Stereolithographic (STL) files of patient-specific cardiovascular anatomy are acquired to build cardiac vasculature through advanced mesh-manipulation techniques. Management of distal branches in the arterial tree is important to make such phantoms practicable. We investigated methods to manage the distal arterial flow resistance and pressure thus creating physiologically and geometrically accurate phantoms that can be used for simulations of image-guided interventional procedures with new devices...
February 11, 2017: Proceedings of SPIE
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