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Journal of Medical Imaging

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https://www.readbyqxmd.com/read/28217714/dr-hagis-a-fundus-image-database-for-the-automatic-extraction-of-retinal-surface-vessels-from-diabetic-patients
#1
Sven Holm, Greg Russell, Vincent Nourrit, Niall McLoughlin
A database of retinal fundus images, the DR HAGIS database, is presented. This database consists of 39 high-resolution color fundus images obtained from a diabetic retinopathy screening program in the UK. The NHS screening program uses service providers that employ different fundus and digital cameras. This results in a range of different image sizes and resolutions. Furthermore, patients enrolled in such programs often display other comorbidities in addition to diabetes. Therefore, in an effort to replicate the normal range of images examined by grading experts during screening, the DR HAGIS database consists of images of varying image sizes and resolutions and four comorbidity subgroups: collectively defined as the diabetic retinopathy, hypertension, age-related macular degeneration, and Glaucoma image set (DR HAGIS)...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28180134/quantitative-assessment-of-soft-tissue-deformation-using-digital-speckle-pattern-interferometry-studies-on-phantom-breast-models
#2
Udayakumar Karuppanan, Sujatha Narayanan Unni, Ganesan R Angarai
Assessment of mechanical properties of soft matter is a challenging task in a purely noninvasive and noncontact environment. As tissue mechanical properties play a vital role in determining tissue health status, such noninvasive methods offer great potential in framing large-scale medical screening strategies. The digital speckle pattern interferometry (DSPI)-based image capture and analysis system described here is capable of extracting the deformation information from a single acquired fringe pattern. Such a method of analysis would be required in the case of the highly dynamic nature of speckle patterns derived from soft tissues while applying mechanical compression...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28180133/patch-based-denoising-method-using-low-rank-technique-and-targeted-database-for-optical-coherence-tomography-image
#3
Xiaoming Liu, Zhou Yang, Jia Wang, Jun Liu, Kai Zhang, Wei Hu
Image denoising is a crucial step before performing segmentation or feature extraction on an image, which affects the final result in image processing. In recent years, utilizing the self-similarity characteristics of the images, many patch-based image denoising methods have been proposed, but most of them, named the internal denoising methods, utilized the noisy image only where the performances are constrained by the limited information they used. We proposed a patch-based method, which uses a low-rank technique and targeted database, to denoise the optical coherence tomography (OCT) image...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28180132/study-of-material-properties-important-for-an-optical-property-modulation-based-radiation-detection-method-for-positron-emission-tomography
#4
Li Tao, Henry M Daghighian, Craig S Levin
We compare the performance of two detector materials, cadmium telluride (CdTe) and bismuth silicon oxide (BSO), for optical property modulation-based radiation detection method for positron emission tomography (PET), which is a potential new direction to dramatically improve the annihilation photon pair coincidence time resolution. We have shown that the induced current flow in the detector crystal resulting from ionizing radiation determines the strength of optical modulation signal. A larger resistivity is favorable for reducing the dark current (noise) in the detector crystal, and thus the higher resistivity BSO crystal has a lower (50% lower on average) noise level than CdTe...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28149926/tissue-classification-for-laparoscopic-image-understanding-based-on-multispectral-texture-analysis
#5
Yan Zhang, Sebastian J Wirkert, Justin Iszatt, Hannes Kenngott, Martin Wagner, Benjamin Mayer, Christian Stock, Neil T Clancy, Daniel S Elson, Lena Maier-Hein
Intraoperative tissue classification is one of the prerequisites for providing context-aware visualization in computer-assisted minimally invasive surgeries. As many anatomical structures are difficult to differentiate in conventional RGB medical images, we propose a classification method based on multispectral image patches. In a comprehensive ex vivo study through statistical analysis, we show that (1) multispectral imaging data are superior to RGB data for organ tissue classification when used in conjunction with widely applied feature descriptors and (2) combining the tissue texture with the reflectance spectrum improves the classification performance...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28149925/automated-detection-of-coarctation-of-aorta-in-neonates-from-two-dimensional-echocardiograms
#6
Franklin Pereira, Alejandra Bueno, Andrea Rodriguez, Douglas Perrin, Gerald Marx, Michael Cardinale, Ivan Salgo, Pedro Del Nido
Coarctation of aorta (CoA) is a critical congenital heart defect (CCHD) that requires accurate and immediate diagnosis and treatment. Current newborn screening methods to detect CoA lack both in sensitivity and specificity, and when suspected in a newborn, it must be confirmed using specialized imaging and expert diagnosis, both of which are usually unavailable at tertiary birthing centers. We explore the feasibility of applying machine learning methods to reliably determine the presence of this difficult-to-diagnose cardiac abnormality from ultrasound image data...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28149924/deformable-image-registration-for-tissues-with-large-displacements
#7
Xishi Huang, Jing Ren, Anwar Abdalbari, Mark Green
Image registration for internal organs and soft tissues is considered extremely challenging due to organ shifts and tissue deformation caused by patients' movements such as respiration and repositioning. In our previous work, we proposed a fast registration method for deformable tissues with small rotations. We extend our method to deformable registration of soft tissues with large displacements. We analyzed the deformation field of the liver by decomposing the deformation into shift, rotation, and pure deformation components and concluded that in many clinical cases, the liver deformation contains large rotations and small deformations...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28149923/investigation-of-x-ray-spectra-for-iodinated-contrast-enhanced-dedicated-breast-ct
#8
Stephen J Glick, Andrey Makeev
Screening for breast cancer with mammography has been very successful, resulting in part to a reduction of breast cancer mortality by approximately 39% since 1990. However, mammography still has limitations in performance, especially for women with dense breast tissue. Iodinated contrast-enhanced, dedicated breast CT (BCT) has been proposed to improve lesion analysis and the accuracy of diagnostic workup for patients suspected of having breast cancer. A mathematical analysis to explore the use of various x-ray filters for iodinated contrast-enhanced BCT is presented...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28149922/automated-patient-specific-estimation-of-regional-imparted-energy-and-dose-from-tube-current-modulated-computed-tomography-exams-across-13-protocols
#9
Jeremiah Sanders, Xiaoyu Tian, William Paul Segars, John Boone, Ehsan Samei
Currently, computed tomography (CT) dosimetry relies on surrogates for dose, such as CT dose index and size-specific dose estimates, rather than dose per se. Organ dose is considered as the gold standard for radiation dosimetry. However, organ dose estimation requires precise knowledge of organ locations. Regional imparted energy and dose can also be used to quantify radiation burden and are beneficial because they do not require knowledge of organ size or location. This work investigated an automated technique to retrospectively estimate the imparted energy from tube current-modulated (TCM) CT exams across 13 protocols...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28149921/mean-glandular-dose-in-digital-mammography-a-dose-calculation-method-comparison
#10
Moayyad E Suleiman, Patrick C Brennan, Mark F McEntee
Our objective was to analyze the agreement between organ dose estimated by different digital mammography units and calculated dose for clinical data. Digital Imaging and Communication in Medicine header information was extracted from 52,405 anonymized mammograms. Data were filtered to include images with no breast implants, breast thicknesses 20 to 110 mm, and complete exposure and quality assurance data. Mean glandular dose was calculated using methods by Dance et al., Wu et al., and Boone et al. Bland-Altman analysis and regression were used to study the agreement and correlation between organ and calculated doses...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28149920/hybrid-positron-emission-tomography-segmentation-of-heterogeneous-lung-tumors-using-3d-slicer-improved-growcut-algorithm-with-threshold-initialization
#11
Hannah Mary T Thomas, Devadhas Devakumar, Balukrishna Sasidharan, Stephen R Bowen, Danie Kingslin Heck, E James Jebaseelan Samuel
This paper presents an improved GrowCut (IGC), a positron emission tomography-based segmentation algorithm, and tests its clinical applicability. Contrary to the traditional method that requires the user to provide the initial seeds, the IGC algorithm starts with a threshold-based estimate of the tumor and a three-dimensional morphologically grown shell around the tumor as the foreground and background seeds, respectively. The repeatability of IGC from the same observer at multiple time points was compared with the traditional GrowCut algorithm...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28119951/jmi-2016-list-of-reviewers
#12
EDITORIAL
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No abstract text is available yet for this article.
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28097214/location-and-lesion-dependent-estimation-of-mammographic-background-tissue-complexity
#13
Ali Avanaki, Kathryn Espig, Tom Kimpe
We specify a notion of perceived background tissue complexity (BTC) that varies with lesion shape, lesion size, and lesion location in the image. We propose four unsupervised BTC estimators based on: perceived pre and postlesion similarity of images, lesion border analysis (LBA; conspicuous lesion should be brighter than its surround), tissue anomaly detection, and local energy. The latter two are existing methods adapted for location- and lesion-dependent BTC estimation. For evaluation, we ask human observers to measure BTC (threshold visibility amplitude of a given lesion inserted) at specified locations in a mammogram...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28097213/fully-automated-quantitative-cephalometry-using-convolutional-neural-networks
#14
Sercan Ö Arık, Bulat Ibragimov, Lei Xing
Quantitative cephalometry plays an essential role in clinical diagnosis, treatment, and surgery. Development of fully automated techniques for these procedures is important to enable consistently accurate computerized analyses. We study the application of deep convolutional neural networks (CNNs) for fully automated quantitative cephalometry for the first time. The proposed framework utilizes CNNs for detection of landmarks that describe the anatomy of the depicted patient and yield quantitative estimation of pathologies in the jaws and skull base regions...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28097212/feasibility-of-reduced-dose-three-dimensional-four-dimensional-digital-subtraction-angiogram-using-a-weighted-edge-preserving-filter
#15
Erick L Oberstar, Michael A Speidel, Brian J Davis, Charles M Strother, Charles A Mistretta
A conventional three-dimensional/four-dimensional (3D/4D) digital subtraction angiogram (DSA) requires two rotational acquisitions (mask and fill) to compute the log-subtracted projections that are used to reconstruct a 3D/4D volume. Since all of the vascular information is contained in the fill acquisition, it is hypothesized that it is possible to reduce the x-ray dose of the mask acquisition substantially and still obtain subtracted projections adequate to reconstruct a 3D/4D volume with noise level comparable to a full-dose acquisition...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28097211/new-generation-small-animal-positron-emission-tomography-system-for-molecular-imaging
#16
Shiva Abbaszadeh, Craig S Levin
The next generation of discoveries in molecular imaging requires positron emission tomography (PET) systems with high spatial resolution and high sensitivity to visualize and quantify low concentrations of molecular probes. The goal of this work is to assemble and explore such a system. We use cadmium zinc telluride (CZT) to achieve high spatial resolution, three-dimensional interaction positioning, and excellent energy resolution. The CZT crystals are arranged in an edge-on configuration with a minimum gap of [Formula: see text] in a four-sided panel geometry to achieve superior photon sensitivity...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28097210/preclinical-positron-emission-tomography-scanner-based-on-a-monolithic-annulus-of-scintillator-initial-design-study
#17
Alexander V Stolin, Peter F Martone, Gangadhar Jaliparthi, Raymond R Raylman
Positron emission tomography (PET) scanners designed for imaging of small animals have transformed translational research by reducing the necessity to invasively monitor physiology and disease progression. Virtually all of these scanners are based on the use of pixelated detector modules arranged in rings. This design, while generally successful, has some limitations. Specifically, use of discrete detector modules to construct PET scanners reduces detection sensitivity and can introduce artifacts in reconstructed images, requiring the use of correction methods...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28018941/modularized-compact-positron-emission-tomography-detector-for-rapid-system-development
#18
Daoming Xi, Xiang Liu, Chen Zeng, Wei Liu, Yanzhao Li, Yuexuan Hua, Xiongze Mei, Heejong Kim, Peng Xiao, Chien-Min Kao, Qingguo Xie
We report the development of a modularized compact positron emission tomography (PET) detector that outputs serial streams of digital samples of PET event pulses via an Ethernet interface using the UDP/IP protocol to enable rapid configuration of a PET system by connecting multiple such detectors via a network switch to a computer. Presently, the detector is [Formula: see text] in extent (excluding I/O connectors) and contains an [Formula: see text] array of [Formula: see text] one-to-one coupled lutetium-yttrium oxyorthosilicate/silicon photomultiplier pixels...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27981069/inside-in-beam-positron-emission-tomography-system-for-particle-range-monitoring-in-hadrontherapy
#19
Maria Giuseppina Bisogni, Andrea Attili, Giuseppe Battistoni, Nicola Belcari, Niccolo' Camarlinghi, Piergiorgio Cerello, Silvia Coli, Alberto Del Guerra, Alfredo Ferrari, Veronica Ferrero, Elisa Fiorina, Giuseppe Giraudo, Eleftheria Kostara, Matteo Morrocchi, Francesco Pennazio, Cristiana Peroni, Maria Antonietta Piliero, Giovanni Pirrone, Angelo Rivetti, Manuel D Rolo, Valeria Rosso, Paola Sala, Giancarlo Sportelli, Richard Wheadon
The quality assurance of particle therapy treatment is a fundamental issue that can be addressed by developing reliable monitoring techniques and indicators of the treatment plan correctness. Among the available imaging techniques, positron emission tomography (PET) has long been investigated and then clinically applied to proton and carbon beams. In 2013, the Innovative Solutions for Dosimetry in Hadrontherapy (INSIDE) collaboration proposed an innovative bimodal imaging concept that combines an in-beam PET scanner with a tracking system for charged particle imaging...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27921075/longitudinal-monitoring-of-reconstructed-activity-concentration-on-a-clinical-time-of-flight-pet-ct-scanner
#20
Lawrence R MacDonald, Amy E Perkins, Chi-Hua Tung
Positron emission tomography (PET) images are potential quantitative biomarkers. Understanding long-term (months/years) biomarker variability is important for establishing confidence intervals on studies using such biomarkers over these time frames. PET biomarkers are derived from activity concentration ([Formula: see text]) extracted from PET images. Over 30 months, we measured the stability of decay-normalized counts ([Formula: see text]) and [Formula: see text] by scanning the same 4.5-cm-diameter Ge-68 cylinder weekly, the same Na-22 point source daily, and a refilled 20-cm F-18 cylinder phantom monthly on a clinical TOF-PET/CT scanner...
January 2017: Journal of Medical Imaging
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