Read by QxMD icon Read

image quality metric

Travis M Rampton, Stuart I Wright, Michael P Miles, Eric R Homer, Robert H Wagoner, David T Fullwood
Twin detection via EBSD can be particularly challenging due to the fine scale of certain twin types - for example, compression and double twins in Mg. Even when a grid of sufficient resolution is chosen to ensure scan points within the twins, the interaction volume of the electron beam often encapsulates a region that contains both the parent grain and the twin, confusing the twin identification process. The degradation of the EBSD pattern results in a lower image quality metric, which has long been used to imply potential twins...
November 10, 2017: Ultramicroscopy
Rhonda-Joy I Sweeney, Sarah J Lewis, Peter Hogg, Mark F McEntee
Detection of breast cancer is reliant on optimal breast positioning and the production of quality images. Two projections, the mediolateral (MLO) and craniocaudal (CC), are routinely performed. Determination of successful positioning and inclusion of all breast tissue is achieved through meeting stated image quality criteria. For the CC view, current image quality criteria are inconsistent. Absence of reliable anatomical markers, other than the nipple, further contribute to difficulties in assessing the quality of CC views...
November 10, 2017: British Journal of Radiology
David Steyrl, Gunther Krausz, Karl Koschutnig, Günter Edlinger, Gernot R Müller-Putz
Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) allow us to study the active human brain from two perspectives concurrently. Signal processing based artifact reduction techniques are mandatory for this, however, to obtain reasonable EEG quality in simultaneous EEG-fMRI. Current artifact reduction techniques like average artifact subtraction (AAS), typically become less effective when artifact reduction has to be performed on-the-fly. We thus present and evaluate a new technique to improve EEG quality online...
November 9, 2017: Brain Topography
Samantha J Holdsworth, Sarah J Macpherson, Kristen W Yeom, Max Wintermark, Greg Zaharchuk
OBJECTIVE: New MRI sequences based on rapid radial acquisition have reduced gradient noise. The purpose of this study was to compare Silent T1-weighted and unenhanced MR angiography (MRA) against conventional sequences in a clinical population. MATERIALS AND METHODS: The study cohort consisted of 40 patients with suspected brain metastases (median age, 60 years; range, 23-91 years) who underwent T1-weighted contrast-enhanced MRI and 51 patients with suspected vascular lesions or cerebral ischemia (median age, 60 years; range, 16-94 years) who underwent unenhanced intracranial MRA...
November 7, 2017: AJR. American Journal of Roentgenology
Ravi V Gottumukkala, Thang Q Le, Richard Duszak, Anand M Prabhakar
Patient experience is becoming increasingly prioritized, most notably as a component of recently passed health care legislation that aims to link physician reimbursement to quality of care and cost-effectiveness. For several reasons, radiologists are better positioned to seize opportunities to enhance patient experience than is readily apparent. We propose that discrete components along the imaging value chain can be evaluated specifically for their effect on patient experience and improved to this end. We also emphasize that the field of radiology has traditionally been the earliest adopter and a serial innovator in health information technology, and we suggest possible ways to leverage the newest technological tools to improve patient experience...
October 2, 2017: Current Problems in Diagnostic Radiology
Brent A Warndahl, Eric A Borisch, Akira Kawashima, Stephen J Riederer, Adam T Froemming
PURPOSE: To evaluate if Field of view Optimized and Constrained Undistorted Single shot (FOCUS) (GE Healthcare, Waukesha, WI) diffusion weighted images (DWI) provide more reliable imaging than conventional DWI, with non-inferior quantitative apparent diffusion coefficient (ADC) results. MATERIAL AND METHODS: IRB approval was obtained for this study of 43 patients (44 exams, one patient with two visits) that underwent multiparametric prostate MRI with two DWI sequences and subsequent radical prostatectomy with histology as the gold standard...
November 2, 2017: Magnetic Resonance Imaging
Hasan Koyuncu, Rahime Ceylan, Mesut Sivri, Hasan Erdogan
Computed tomography (CT) scans usually include some disadvantages due to the nature of the imaging procedure, and these handicaps prevent accurate abdomen segmentation. Discontinuous abdomen edges, bed section of CT, patient information, closeness between the edges of the abdomen and CT, poor contrast, and a narrow histogram can be regarded as the most important handicaps that occur in abdominal CT scans. Currently, one or more handicaps can arise and prevent technicians obtaining abdomen images through simple segmentation techniques...
October 24, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
Oliver Schrenk, Claudia Katharina Spindeldreier, Lucas Norberto Burigo, Juliane Hoerner-Rieber, Asja Pfaffenberger
PURPOSE: Magnetic resonance image-guided radiotherapy (MRgRT) has the potential to increase the accuracy of radiation treatment delivery. Several research groups have developed hybrid MRgRT devices differing by radiation source used, magnetic field orientation and strength. In this work, we investigate the impact of different magnetic field orientations and strengths on the treatment planning of non-small cell lung cancer patients (NSCLC). METHODS: A framework using the in-house developed treatment planning system matRad and the EGSnrc Monte Carlo code system was introduced to perform Monte Carlo based treatment planning in the presence of a magnetic field...
October 24, 2017: Medical Physics
Han Gao, Yunwei Tang, Linhai Jing, Hui Li, Haifeng Ding
The segmentation of a high spatial resolution remote sensing image is a critical step in geographic object-based image analysis (GEOBIA). Evaluating the performance of segmentation without ground truth data, i.e., unsupervised evaluation, is important for the comparison of segmentation algorithms and the automatic selection of optimal parameters. This unsupervised strategy currently faces several challenges in practice, such as difficulties in designing effective indicators and limitations of the spectral values in the feature representation...
October 24, 2017: Sensors
Nicholas W Marshall, Marleen H Smet, Maarten Hofmans, Herman Pauwels, Thomas De Clerq, Hilde Bosmans
Physical image quality of five x-ray detectors used in the paediatric imaging department is characterized with the aim of establishing the range/scope of imaging performance provided by these detectors for neonatal imaging. Two computed radiography (CR) detectors (MD4.0 powder imaging plate (PIP) and HD5.0 needle imaging plate (NIP), Agfa HealthCare NV, B-2640 Mortsel, Belgium) and three flat panel detectors (FPD) (the Agfa DX-D35C and DX-D45C and the DRX-2530C (Carestream Health Inc., Rochester - NY 14608, USA)) were assessed...
October 24, 2017: Physics in Medicine and Biology
Daniel J Watson, Igor Sazonov, David C Zawieja, James E Moore, Raoul van Loon
Lymphatic valves facilitate the lymphatic system's role in maintaining fluid homeostasis. Malformed valves are found in several forms of primary lymphœdema, resulting in incurable swelling of the tissues and immune dysfunction. Their experimental study is complicated by their small size and operation in low pressure and low Reynolds number environments. Mathematical models of these structures can give insight and complement experimentation. In this work, we present the first valve geometry reconstructed from confocal imagery and used in the construction of a subject-specific model in a closing mode...
October 7, 2017: Journal of Biomechanics
Muhammad Arslan Usman, Muhammad Rehan Usman, Soo Young Shin
Maintaining the quality of medical images and videos is an essential part of the e-services provided by the healthcare sector. The convergence of modern communication systems and the healthcare industry necessitates the provision of better quality of service and experience by the service provider. Recent inclusion and standardization of the high efficiency video coder (HEVC) has made it possible for medical data to be compressed and transmitted over wireless networks with minimal compromise of the quality. Quality evaluation and assessment of these medical videos transmitted over wireless networks is another important research area that requires further exploration and attention...
October 9, 2017: Computers in Biology and Medicine
Shinji Amakusa, Koki Matsuoka, Masayuki Kawano, Kiyotaka Hasegawa, Mio Ouchida, Ayaka Date, Tsuyoshi Yoshida, Masayuki Sasaki
OBJECTIVE: On (18)F-fluoro-2-deoxy-D-glucose ((18)F-FDG) positron emission tomography (PET), signal-to-noise ratio in the liver (SNRliver) is used as a metric to assess image quality. However, some regions-of-interest (ROIs) are used when measuring the SNRliver. The purpose of this study is to examine the different ROIs and volumes of interest (VOIs) to obtain a reproducible SNRliver. METHODS: This study included 108 patients who underwent (18)F-FDG-PET/CT scans for the purpose of cancer screening...
October 20, 2017: Annals of Nuclear Medicine
Sofia Chavez, Joseph Viviano, Mojdeh Zamyadi, Peter B Kingsley, Peter Kochunov, Stephen Strother, Aristotle Voineskos
PURPOSE: To develop a quality assurance (QA) tool (acquisition guidelines and automated processing) for diffusion tensor imaging (DTI) data using a common agar-based phantom used for fMRI QA. The goal is to produce a comprehensive set of automated, sensitive and robust QA metrics. METHODS: A readily available agar phantom was scanned with and without parallel imaging reconstruction. Other scanning parameters were matched to the human scans. A central slab made up of either a thick slice or an average of a few slices, was extracted and all processing was performed on that image...
October 17, 2017: Magnetic Resonance Imaging
Heiko H Schütt, Felix A Wichmann
A large part of classical visual psychophysics was concerned with the fundamental question of how pattern information is initially encoded in the human visual system. From these studies a relatively standard model of early spatial vision emerged, based on spatial frequency and orientation-specific channels followed by an accelerating nonlinearity and divisive normalization: contrast gain-control. Here we implement such a model in an image-computable way, allowing it to take arbitrary luminance images as input...
October 1, 2017: Journal of Vision
Lindsey A Crowe, Gibran Manasseh, Aneta Chmielewski, Anne-Lise Hachulla, Daniel Speicher, Andreas Greiser, Hajo Muller, Thomas De Perrot, Jean-Paul Vallee, Rares Salomir
OBJECTIVES: We demonstrate the use of a Magnetic-Resonance (MR)-compatible ultrasound (US) imaging probe using spatially-resolved Doppler for diagnostic quality cardiovascular MR imaging as an initial step towards hybrid US/MR fetal imaging. METHODS: A newly developed technology for a dedicated MR-compatible phased array ultrasound-imaging probe acquired pulsed color Doppler carotid images, which were converted in near-real time to a trigger signal for cardiac cine and flow quantification MRI...
October 17, 2017: IEEE Transactions on Bio-medical Engineering
Benjamin S Brooke, Adam W Beck, Larry W Kraiss, Andrew W Hoel, Andrea M Austin, Amir A Ghaffarian, Jack L Cronenwett, Philip P Goodney
Importance: Ensuring that patients undergo surveillance imaging after surgery is a key quality metric after many vascular procedures. It is unclear whether hospital participation in a national quality improvement registry such as the Vascular Quality Initiative (VQI) achieves this goal. Objective: To determine if hospital participation in the VQI registry is associated with increased rates of surveillance imaging after vascular procedures. Design, Setting, and Participants: A quasi-experimental study used Medicare claims to study 2174 US hospitals in which 1 530 102 patients had undergone an endovascular abdominal aortic aneurysm repair (EVAR), 1 403 067 patients had undergone a lower extremity bypass (LEB) or peripheral vascular intervention (PVI), and 294 942 patients had undergone carotid endarterectomy (CEA) and carotid artery stenting (CAS) procedures between January 1, 2007, and December 31, 2012...
October 11, 2017: JAMA Surgery
Delphine Vallot, Olivier Caselles, Leonor Chaltiel, Anthony Fernandez, Erwan Gabiache, Lawrence Dierickx, Slimane Zerdoud, Mathilde Bauriaud, Frédéric Courbon
PURPOSE: The aim of this study was to evaluate the impact of using the Bayesian penalized likelihood (BPL) algorithm on a bismuth germanium oxide positron emission tomography (PET)/computed tomography (CT) system for F-FDG PET/CT exams in case of low injected activity and scan duration. MATERIALS AND METHODS: F-FDG respiratory gated PET/CT performed on 102 cancer patients, injected with ∼2 MBq/kg of F-FDG, were reconstructed using two algorithms: ordered subset expectation maximization (OSEM) and BPL...
October 18, 2017: Nuclear Medicine Communications
Alberto de Castro, Lucie Sawides, Xiaofeng Qi, Stephen A Burns
Retinal imaging with an adaptive optics (AO) system usually requires that the eye be centered and stable relative to the exit pupil of the system. Aberrations are then typically corrected inside a fixed circular pupil. This approach can be restrictive when imaging some subjects, since the pupil may not be round and maintaining a stable head position can be difficult. In this paper, we present an automatic algorithm that relaxes these constraints. An image quality metric is computed for each spot of the Shack-Hartmann image to detect the pupil and its boundary, and the control algorithm is applied only to regions within the subject's pupil...
August 20, 2017: Applied Optics
Kensuke Umehara, Junko Ota, Takayuki Ishida
In this study, the super-resolution convolutional neural network (SRCNN) scheme, which is the emerging deep-learning-based super-resolution method for enhancing image resolution in chest CT images, was applied and evaluated using the post-processing approach. For evaluation, 89 chest CT cases were sampled from The Cancer Imaging Archive. The 89 CT cases were divided randomly into 45 training cases and 44 external test cases. The SRCNN was trained using the training dataset. With the trained SRCNN, a high-resolution image was reconstructed from a low-resolution image, which was down-sampled from an original test image...
October 18, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"