journal
MENU ▼
Read by QxMD icon Read
search

Journal of Medical Imaging

journal
https://www.readbyqxmd.com/read/28439524/brainsegnet-a-convolutional-neural-network-architecture-for-automated-segmentation-of-human-brain-structures
#1
Raghav Mehta, Aabhas Majumdar, Jayanthi Sivaswamy
Automated segmentation of cortical and noncortical human brain structures has been hitherto approached using nonrigid registration followed by label fusion. We propose an alternative approach for this using a convolutional neural network (CNN) which classifies a voxel into one of many structures. Four different kinds of two-dimensional and three-dimensional intensity patches are extracted for each voxel, providing local and global (context) information to the CNN. The proposed approach is evaluated on five different publicly available datasets which differ in the number of labels per volume...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28439523/tsallis-entropy-and-sparse-reconstructive-dictionary-learning-for-exudate-detection-in-diabetic-retinopathy
#2
Vineeta Das, Niladri B Puhan
Computer-assisted automated exudate detection is crucial for large-scale screening of diabetic retinopathy (DR). The motivation of this work is robust and accurate detection of low contrast and isolated hard exudates using fundus imaging. Gabor filtering is first performed to enhance exudate visibility followed by Tsallis entropy thresholding. The obtained candidate exudate pixel map is useful for further removal of falsely detected candidates using sparse-based dictionary learning and classification. Two reconstructive dictionaries are learnt using the intensity, gradient, local energy, and transform domain features extracted from exudate and background patches of the training fundus images...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28439522/automatic-image-quality-assessment-and-measurement-of-fetal-head-in-two-dimensional-ultrasound-image
#3
Lei Zhang, Nicholas J Dudley, Tryphon Lambrou, Nigel Allinson, Xujiong Ye
Owing to the inconsistent image quality existing in routine obstetric ultrasound (US) scans that leads to a large intraobserver and interobserver variability, the aim of this study is to develop a quality-assured, fully automated US fetal head measurement system. A texton-based fetal head segmentation is used as a prerequisite step to obtain the head region. Textons are calculated using a filter bank designed specific for US fetal head structure. Both shape- and anatomic-based features calculated from the segmented head region are then fed into a random forest classifier to determine the quality of the image (e...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28439521/dynamic-electronic-collimation-method-for-3-d-catheter-tracking-on-a-scanning-beam-digital-x-ray-system
#4
David A P Dunkerley, Jordan M Slagowski, Tobias Funk, Michael A Speidel
Scanning-beam digital x-ray (SBDX) is an inverse geometry x-ray fluoroscopy system capable of tomosynthesis-based 3-D catheter tracking. This work proposes a method of dose-reduced 3-D catheter tracking using dynamic electronic collimation (DEC) of the SBDX scanning x-ray tube. This is achieved through the selective deactivation of focal spot positions not needed for the catheter tracking task. The technique was retrospectively evaluated with SBDX detector data recorded during a phantom study. DEC imaging of a catheter tip at isocenter required 340 active focal spots per frame versus 4473 spots in full field-of-view (FOV) mode...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28413809/preclinical-imaging-of-iridocorneal-angle-and-fundus-using-a-modified-integrated-flexible-handheld-probe
#5
Xun Jie Jeesmond Hong, Vengalathunadakal K Shinoj, Vadakke Matham Murukeshan, Mani Baskaran, Tin Aung
A flexible handheld imaging probe consisting of a [Formula: see text] charge-coupled device camera, light-emitting diode light sources, and near-infrared laser source is designed and developed. The imaging probe is designed with specifications to capture the iridocorneal angle images and posterior segment images. Light propagation from the anterior chamber of the eye to the exterior is considered analytically using Snell's law. Imaging of the iridocorneal angle region and fundus is performed on ex vivo porcine samples and subsequently on small laboratory animals, such as the New Zealand white rabbit and nonhuman primate, in vivo...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28413808/vessel-tree-tracking-in-angiographic-sequences
#6
Dong Zhang, Shanhui Sun, Ziyan Wu, Bor-Jeng Chen, Terrence Chen
We present a method to track vessels in angiography [contrast filled vessels in two-dimensional (2-D) x-ray fluoroscopy]. Finding correspondence of a vessel tree from consecutive angiogram frames provides significant value in computer-aided clinical applications such as fast vessel tree segmentation, three-dimensional (3-D) vessel topology reconstruction from corresponding centerlines, cardiac motion understanding, etc. However, establishing an accurate vessel tree correspondence (vessel tree tracking) is a nontrivial problem due to nonlinear periodic cardiac and breathing motion in 2-D views, foreshortening, false bifurcations due to 3-D to 2-D projection, occlusion from other anatomies, etc...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28382316/connecting-markov-random-fields-and-active-contour-models-application-to-gland-segmentation-and-classification
#7
Jun Xu, James P Monaco, Rachel Sparks, Anant Madabhushi
We introduce a Markov random field (MRF)-driven region-based active contour model (MaRACel) for histological image segmentation. This Bayesian segmentation method combines a region-based active contour (RAC) with an MRF. State-of-the-art RAC models assume that every spatial location in the image is statistically independent, thereby ignoring valuable contextual information among spatial locations. To address this shortcoming, we incorporate an MRF prior into energy term of the RAC. This requires a formulation of the Markov prior consistent with the continuous variational framework characteristic of active contours; consequently, we introduce a continuous analog to the discrete Potts model...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28382315/supervised-classification-of-etoposide-treated-in-vitro-adherent-cells-based-on-noninvasive-imaging-morphology
#8
Anna Leida Mölder, Johan Persson, Zahra El-Schich, Silvester Czanner, Anette Gjörloff-Wingren
Single-cell studies using noninvasive imaging is a challenging, yet appealing way to study cellular characteristics over extended periods of time, for instance to follow cell interactions and the behavior of different cell types within the same sample. In some cases, e.g., transplantation culturing, real-time cellular monitoring, stem cell studies, in vivo studies, and embryo growth studies, it is also crucial to keep the sample intact and invasive imaging using fluorophores or dyes is not an option. Computerized methods are needed to improve throughput of image-based analysis and for use with noninvasive microscopy such methods are poorly developed...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28382314/training-a-cell-level-classifier-for-detecting-basal-cell-carcinoma-by-combining-human-visual-attention-maps-with-low-level-handcrafted-features
#9
Germán Corredor, Jon Whitney, Viviana Arias, Anant Madabhushi, Eduardo Romero
Computational histomorphometric approaches typically use low-level image features for building machine learning classifiers. However, these approaches usually ignore high-level expert knowledge. A computational model (M_im) combines low-, mid-, and high-level image information to predict the likelihood of cancer in whole slide images. Handcrafted low- and mid-level features are computed from area, color, and spatial nuclei distributions. High-level information is implicitly captured from the recorded navigations of pathologists while exploring whole slide images during diagnostic tasks...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28331891/differentiation-of-arterioles-from-venules-in-mouse-histology-images-using-machine-learning
#10
J Sachi Elkerton, Yiwen Xu, J Geoffrey Pickering, Aaron D Ward
Analysis and morphological comparison of the arteriolar and venular components of a microvascular network are essential to our understanding of multiple diseases affecting every organ system. We have developed and evaluated the first fully automatic software system for differentiation of arterioles from venules on high-resolution digital histology images of the mouse hind limb immunostained with smooth muscle [Formula: see text]-actin. Classifiers trained on statistical and morphological features by supervised machine learning provided useful classification accuracy for differentiation of arterioles from venules, achieving an area under the receiver operating characteristic curve of 0...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28331890/predicting-and-replacing-the-pathological-gleason-grade-with-automated-gland-ring-morphometric-features-from-immunofluorescent-prostate-cancer-images
#11
Faisal M Khan, Richard Scott, Michael Donovan, Gerardo Fernandez
The Gleason grade is the most common architectural and morphological assessment of prostate cancer severity and prognosis. There have been numerous algorithms developed to approximate and duplicate the Gleason scoring system, mostly developed in standard H&E brightfield microscopy. Immunofluorescence (IF) image analysis of tissue pathology has recently been proven to be robust in developing prognostic assessments of disease, particularly in prostate cancer. We leverage a method of segmenting gland rings in IF images for predicting the pathological Gleason, both the clinical and the image specific grades, which may not necessarily be the same...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28331889/unsupervised-labeling-of-glomerular-boundaries-using-gabor-filters-and-statistical-testing-in-renal-histology
#12
Brandon Ginley, John E Tomaszewski, Rabi Yacoub, Feng Chen, Pinaki Sarder
The glomerulus is the blood filtering unit of the kidney. Each human kidney contains [Formula: see text] glomeruli. Several renal conditions originate from structural damage to glomerular microcompartments, such as proteinuria, the excessive loss of blood proteins into urine. The gold standard for evaluating structural damage in renal pathology is histopathological and immunofluorescence examination of needle biopsies under a light microscope. This method is limited by qualitative or semiquantitative manual scoring approaches to the evaluation of glomerular structural features...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28401176/evaluation-of-a-projection-domain-lung-nodule-insertion-technique-in-thoracic-computed-tomography
#13
Chi Ma, Lifeng Yu, Baiyu Chen, Chi Wan Koo, Edwin A Takahashi, Joel G Fletcher, David L Levin, Ronald S Kuzo, Lyndsay D Viers, Stephanie A Vincent-Sheldon, Shuai Leng, Cynthia H McCollough
Task-based assessment of computed tomography (CT) image quality requires a large number of cases with ground truth. Prospective case acquisition can be time-consuming. Inserting lesions into existing cases to simulate positive cases is a promising alternative. The aim was to evaluate a recently developed projection-based lesion insertion technique in thoracic CT. In total, 32 lung nodules of various attenuations were segmented from 21 patient cases, forward projected, inserted into projections, and reconstructed...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28401175/anthropomorphic-dual-lattice-voxel-models-for-optimizing-image-quality-and-dose
#14
Nina Petoussi-Henss, Helmut Schlattl, Janine Becker, Matthias Greiter, Maria Zankl, Christoph Hoeschen
Using numerical simulations, the influence of various imaging parameters on the resulting image can be determined for various imaging technologies. To achieve this, visualization of fine tissue structures needed to evaluate the image quality with different radiation quality and dose is essential. The present work examines a method that employs simulations of the imaging process using Monte Carlo methods and a combination of a standard and higher resolution voxel models. A hybrid model, based on nonlinear uniform rational B-spline and polygon mesh surfaces, was constructed from an existing voxel model of a female patient of a resolution in the range of millimeters...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28401174/estimating-scatter-from-sparsely-measured-primary-signal
#15
Gongting Wu, Christina R Inscoe, Jabari Calliste, Jing Shan, Yueh Z Lee, Otto Zhou, Jianping Lu
Scatter radiation severely degrades the image quality. Measurement-based scatter correction methods sample the scatter signal at sparsely distributed points, from which the scatter profile is estimated and deterministically removed from the projection image. The estimation of the scatter profile is generally done through a spline interpolation and the resulting scatter profile is quite smooth. Consequently, the noise is intact and the signal-to-noise ratio is reduced in the projection image after scatter correction, leading to image artifacts and increased noise in the reconstruction images...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28401173/history-and-future-technical-innovation-in-positron-emission-tomography
#16
REVIEW
Terry Jones, David Townsend
Instrumentation for positron emission tomography (PET) imaging has experienced tremendous improvements in performance over the past 60 years since it was first conceived as a medical imaging modality. Spatial resolution has improved by a factor of 10 and sensitivity by a factor of 40 from the early designs in the 1970s to the high-performance scanners of today. Multimodality configurations have emerged that combine PET with computed tomography (CT) and, more recently, with MR. Whole-body scans for clinical purposes can now be acquired in under 10 min on a state-of-the-art PET/CT...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28401172/special-section-guest-editorial-positron-emission-tomography-history-current-status-and-future-prospects
#17
Norbert J Pelc, Paul E Kinahan, Roderic I Pettigrew
No abstract text is available yet for this article.
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28386578/large-field-of-view-optical-elastography-using-digital-image-correlation-for-biological-soft-tissue-investigation
#18
Daniel Claus, Marijo Mlikota, Jonathan Geibel, Thomas Reichenbach, Giancarlo Pedrini, Johannes Mischinger, Siegfried Schmauder, Wolfgang Osten
In minimally invasive surgery the haptic feedback, which represents an important tool for the localization of abnormalities, is no longer available. Elastography is an imaging technique that results in quantitative elastic parameters. It can hence be used to replace the lost sense of touch, as to enable tissue localization and discrimination. Digital image correlation is the chosen elastographic imaging technique. The implementation discussed here is clinically sound, based on a spectrally engineered illumination source that enables imaging of biological surface markers (blood vessels) with high contrast...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28386577/automatic-vertebra-segmentation-on-dynamic-magnetic-resonance-imaging
#19
Sinan Onal, Xin Chen, Susana Lai-Yuen, Stuart Hart
The automatic extraction of the vertebra's shape from dynamic magnetic resonance imaging (MRI) could improve understanding of clinical conditions and their diagnosis. It is hypothesized that the shape of the sacral curve is related to the development of some gynecological conditions such as pelvic organ prolapse (POP). POP is a critical health condition for women and consists of pelvic organs dropping from their normal position. Dynamic MRI is used for assessing POP and to complement clinical examination. Studies have shown some evidence on the association between the shape of the sacral curve and the development of POP...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28382313/geometric-calibration-and-correction-for-a-lens-coupled-detector-in-x-ray-phase-contrast-imaging
#20
Alex George, Peter Y Chen, Alejandro Morales-Martinez, Alireza Panna, Andrew A Gomella, Eric E Bennett, Han Wen
A lens-coupled x-ray camera with a tilted phosphor collects light emission from the x-ray illuminated (front) side of phosphor. Experimentally, it has been shown to double x-ray photon capture efficiency and triple the spatial resolution along the phosphor tilt direction relative to the same detector at normal phosphor incidence. These characteristics benefit grating-based phase-contrast methods, where linear interference fringes need to be clearly resolved. However, both the shallow incident angle on the phosphor and lens aberrations of the camera cause geometric distortions...
January 2017: Journal of Medical Imaging
journal
journal
49591
1
2
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"