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Journal of Medical Imaging

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https://www.readbyqxmd.com/read/28097214/location-and-lesion-dependent-estimation-of-mammographic-background-tissue-complexity
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
https://www.readbyqxmd.com/read/27921074/initial-performance-studies-of-a-wearable-brain-positron-emission-tomography-camera-based-on-autonomous-thin-film-digital-geiger-avalanche-photodiode-arrays
#9
Charles R Schmidtlein, James N Turner, Michael O Thompson, Krishna C Mandal, Ida Häggström, Jiahan Zhang, John L Humm, David H Feiglin, Andrzej Krol
Using analytical and Monte Carlo modeling, we explored performance of a lightweight wearable helmet-shaped brain positron emission tomography (PET), or BET camera, based on thin-film digital Geiger avalanche photodiode arrays with Lutetium-yttrium oxyorthosilicate (LYSO) or [Formula: see text] scintillators for imaging in vivo human brain function of freely moving and acting subjects. We investigated a spherical cap BET and cylindrical brain PET (CYL) geometries with 250-mm diameter. We also considered a clinical whole-body (WB) LYSO PET/CT scanner...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27921073/evaluation-of-lesion-detectability-in-positron-emission-tomography-when-using-a-convergent-penalized-likelihood-image-reconstruction-method
#10
Kristen A Wangerin, Sangtae Ahn, Scott Wollenweber, Steven G Ross, Paul E Kinahan, Ravindra M Manjeshwar
We have previously developed a convergent penalized likelihood (PL) image reconstruction algorithm using the relative difference prior (RDP) and showed that it achieves more accurate lesion quantitation compared to ordered subsets expectation maximization (OSEM). We evaluated the detectability of low-contrast liver and lung lesions using the PL-RDP algorithm compared to OSEM. We performed a two-alternative forced choice study using a channelized Hotelling observer model that was previously validated against human observers...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28042590/breast-density-estimation-from-high-spectral-and-spatial-resolution-mri
#11
Hui Li, William A Weiss, Milica Medved, Hiroyuki Abe, Gillian M Newstead, Gregory S Karczmar, Maryellen L Giger
A three-dimensional breast density estimation method is presented for high spectral and spatial resolution (HiSS) MR imaging. Twenty-two patients were recruited (under an Institutional Review Board--approved Health Insurance Portability and Accountability Act-compliant protocol) for high-risk breast cancer screening. Each patient received standard-of-care clinical digital x-ray mammograms and MR scans, as well as HiSS scans. The algorithm for breast density estimation includes breast mask generating, breast skin removal, and breast percentage density calculation...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28042589/dose-efficient-ultrahigh-resolution-scan-mode-using-a-photon-counting-detector-computed-tomography-system
#12
Shuai Leng, Zhicong Yu, Ahmed Halaweish, Steffen Kappler, Katharina Hahn, Andre Henning, Zhoubo Li, John Lane, David L Levin, Steven Jorgensen, Erik Ritman, Cynthia McCollough
An ultrahigh-resolution (UHR) data collection mode was enabled on a whole-body, research photon counting detector (PCD) computed tomography system. In this mode, 64 rows of [Formula: see text] detector pixels were used, which corresponded to a pixel size of [Formula: see text] at the isocenter. Spatial resolution and image noise were quantitatively assessed for the UHR PCD scan mode, as well as for a commercially available UHR scan mode that uses an energy-integrating detector (EID) and a set of comb filters to decrease the effective detector size...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28018940/errata-enhanced-resolution-pulse-echo-imaging-with-stabilized-pulses
#13
Shujie Chen, Kevin J Parker
[This corrects the article DOI: 10.1117/1.JMI.3.2.027003.].
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28018939/lungx-challenge-for-computerized-lung-nodule-classification
#14
Samuel G Armato, Karen Drukker, Feng Li, Lubomir Hadjiiski, Georgia D Tourassi, Roger M Engelmann, Maryellen L Giger, George Redmond, Keyvan Farahani, Justin S Kirby, Laurence P Clarke
The purpose of this work is to describe the LUNGx Challenge for the computerized classification of lung nodules on diagnostic computed tomography (CT) scans as benign or malignant and report the performance of participants' computerized methods along with that of six radiologists who participated in an observer study performing the same Challenge task on the same dataset. The Challenge provided sets of calibration and testing scans, established a performance assessment process, and created an infrastructure for case dissemination and result submission...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28018938/computer-aided-diagnosis-of-retinopathy-in-retinal-fundus-images-of-preterm-infants-via-quantification-of-vascular-tortuosity
#15
Faraz Oloumi, Rangaraj M Rangayyan, Anna L Ells
Retinopathy of prematurity (ROP), a disorder of the retina occurring in preterm infants, is the leading cause of preventable childhood blindness. An active phase of ROP that requires treatment is associated with the presence of plus disease, which is diagnosed clinically in a qualitative manner by visual assessment of the existence of a certain level of increase in the thickness and tortuosity of retinal vessels. The present study performs computer-aided diagnosis (CAD) of plus disease via quantitative measurement of tortuosity in retinal fundus images of preterm infants...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28018937/shape-complexes-the-intersection-of-label-orderings-and-star-convexity-constraints-in-continuous-max-flow-medical-image-segmentation
#16
John S H Baxter, Jiro Inoue, Maria Drangova, Terry M Peters
Optimization-based segmentation approaches deriving from discrete graph-cuts and continuous max-flow have become increasingly nuanced, allowing for topological and geometric constraints on the resulting segmentation while retaining global optimality. However, these two considerations, topological and geometric, have yet to be combined in a unified manner. The concept of "shape complexes," which combine geodesic star convexity with extendable continuous max-flow solvers, is presented. These shape complexes allow more complicated shapes to be created through the use of multiple labels and super-labels, with geodesic star convexity governed by a topological ordering...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28018936/noise-performance-of-low-dose-ct-comparison-between-an-energy-integrating-detector-and-a-photon-counting-detector-using-a-whole-body-research-photon-counting-ct-scanner
#17
Zhicong Yu, Shuai Leng, Steffen Kappler, Katharina Hahn, Zhoubo Li, Ahmed F Halaweish, Andre Henning, Cynthia H McCollough
Photon counting detector (PCD)-based computed tomography (CT) is an emerging imaging technique. Compared to conventional energy integrating detector (EID)-based CT, PCD-CT is able to exclude electronic noise that may severely impair image quality at low photon counts. This work focused on comparing the noise performance at low doses between the PCD and EID subsystems of a whole-body research PCD-CT scanner, both qualitatively and quantitatively. An anthropomorphic thorax phantom was scanned, and images of the shoulder portion were reconstructed...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27990454/pseudononlinear-ultrasound-simulation-approach-for-reverberation-clutter
#18
Brett Byram, Jasmine Shu
Multipath scattering, or reverberation, takes a substantial toll on image quality in many clinical exams. We have suggested a model-based solution to this problem, which we refer to as aperture domain model image reconstruction (ADMIRE). For ADMIRE to work well, it must be trained with precisely characterized data. To solve this specific problem and the general problem of efficiently simulating reverberation, we propose an approach to simulate reverberation with linear simulation tools. Our simulation method defines total propagation time, first scattering site, and a final scattering site...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27990453/lung-nodule-malignancy-classification-using-only-radiologist-quantified-image-features-as-inputs-to-statistical-learning-algorithms-probing-the-lung-image-database-consortium-dataset-with-two-statistical-learning-methods
#19
Matthew C Hancock, Jerry F Magnan
In the assessment of nodules in CT scans of the lungs, a number of image-derived features are diagnostically relevant. Currently, many of these features are defined only qualitatively, so they are difficult to quantify from first principles. Nevertheless, these features (through their qualitative definitions and interpretations thereof) are often quantified via a variety of mathematical methods for the purpose of computer-aided diagnosis (CAD). To determine the potential usefulness of quantified diagnostic image features as inputs to a CAD system, we investigate the predictive capability of statistical learning methods for classifying nodule malignancy...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27981068/structure-enhanced-local-phase-filtering-using-l0-gradient-minimization-for-efficient-semiautomated-knee-magnetic-resonance-imaging-segmentation
#20
Mikhiel Lim, Ilker Hacihaliloglu
The segmentation of bone surfaces from magnetic resonance imaging (MRI) data has applications in the quantitative measurement of knee osteoarthritis, surgery planning for patient-specific total knee arthroplasty, and its subsequent fabrication of artificial implants. However, due to the problems associated with MRI imaging, such as low contrast between bone and surrounding tissues, noise, bias fields, and the partial volume effect, segmentation of bone surfaces continues to be a challenging operation. A framework is presented for the enhancement of knee MRI scans prior to segmentation in order to obtain high contrast bone images...
October 2016: Journal of Medical Imaging
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