journal
MENU ▼
Read by QxMD icon Read
search

International Journal of Biomedical Imaging

journal
https://www.readbyqxmd.com/read/27847513/an-analytical-approach-for-fast-recovery-of-the-lsi-properties-in-magnetic-particle-imaging
#1
Hamed Jabbari Asl, Jungwon Yoon
Linearity and shift invariance (LSI) characteristics of magnetic particle imaging (MPI) are important properties for quantitative medical diagnosis applications. The MPI image equations have been theoretically shown to exhibit LSI; however, in practice, the necessary filtering action removes the first harmonic information, which destroys the LSI characteristics. This lost information can be constant in the x-space reconstruction method. Available recovery algorithms, which are based on signal matching of multiple partial field of views (pFOVs), require much processing time and a priori information at the start of imaging...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27752261/anatomy-correlated-breast-imaging-and-visual-grading-analysis-using-quantitative-transmission-ultrasound%C3%A2
#2
John C Klock, Elaine Iuanow, Bilal Malik, Nancy A Obuchowski, James Wiskin, Mark Lenox
Objectives. This study presents correlations between cross-sectional anatomy of human female breasts and Quantitative Transmission (QT) Ultrasound, does discriminate classifier analysis to validate the speed of sound correlations, and does a visual grading analysis comparing QT Ultrasound with mammography. Materials and Methods. Human cadaver breasts were imaged using QT Ultrasound, sectioned, and photographed. Biopsies confirmed microanatomy and areas were correlated with QT Ultrasound images. Measurements were taken in live subjects from QT Ultrasound images and values of speed of sound for each identified anatomical structure were plotted...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27688745/retinal-fundus-image-enhancement-using-the-normalized-convolution-and-noise-removing
#3
Peishan Dai, Hanwei Sheng, Jianmei Zhang, Ling Li, Jing Wu, Min Fan
Retinal fundus image plays an important role in the diagnosis of retinal related diseases. The detailed information of the retinal fundus image such as small vessels, microaneurysms, and exudates may be in low contrast, and retinal image enhancement usually gives help to analyze diseases related to retinal fundus image. Current image enhancement methods may lead to artificial boundaries, abrupt changes in color levels, and the loss of image detail. In order to avoid these side effects, a new retinal fundus image enhancement method is proposed...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27660636/automated-fovea-detection-in-spectral-domain-optical-coherence-tomography-scans-of-exudative-macular-disease
#4
Jing Wu, Sebastian M Waldstein, Alessio Montuoro, Bianca S Gerendas, Georg Langs, Ursula Schmidt-Erfurth
In macular spectral domain optical coherence tomography (SD-OCT) volumes, detection of the foveal center is required for accurate and reproducible follow-up studies, structure function correlation, and measurement grid positioning. However, disease can cause severe obscuring or deformation of the fovea, thus presenting a major challenge in automated detection. We propose a fully automated fovea detection algorithm to extract the fovea position in SD-OCT volumes of eyes with exudative maculopathy. The fovea is classified into 3 main appearances to both specify the detection algorithm used and reduce computational complexity...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27516772/kinect-based-correction-of-overexposure-artifacts-in-knee-imaging-with-c-arm-ct-systems
#5
Johannes Rausch, Andreas Maier, Rebecca Fahrig, Jang-Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess
Objective. To demonstrate a novel approach of compensating overexposure artifacts in CT scans of the knees without attaching any supporting appliances to the patient. C-Arm CT systems offer the opportunity to perform weight-bearing knee scans on standing patients to diagnose diseases like osteoarthritis. However, one serious issue is overexposure of the detector in regions close to the patella, which can not be tackled with common techniques. Methods. A Kinect camera is used to algorithmically remove overexposure artifacts close to the knee surface...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27429612/fluorescence-guided-resection-of-malignant-glioma-with-5-ala
#6
Sadahiro Kaneko, Sadao Kaneko
Malignant gliomas are extremely difficult to treat with no specific curative treatment. On the other hand, photodynamic medicine represents a promising technique for neurosurgeons in the treatment of malignant glioma. The resection rate of malignant glioma has increased from 40% to 80% owing to 5-aminolevulinic acid-photodynamic diagnosis (ALA-PDD). Furthermore, ALA is very useful because it has no serious complications. Based on previous research, it is apparent that protoporphyrin IX (PpIX) accumulates abundantly in malignant glioma tissues after ALA administration...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27413361/application-of-artificial-neural-network-models-in-segmentation-and-classification-of-nodules-in-breast-ultrasound-digital-images
#7
Karem D Marcomini, Antonio A O Carneiro, Homero Schiabel
This research presents a methodology for the automatic detection and characterization of breast sonographic findings. We performed the tests in ultrasound images obtained from breast phantoms made of tissue mimicking material. When the results were considerable, we applied the same techniques to clinical examinations. The process was started employing preprocessing (Wiener filter, equalization, and median filter) to minimize noise. Then, five segmentation techniques were investigated to determine the most concise representation of the lesion contour, enabling us to consider the neural network SOM as the most relevant...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27298618/blind-source-parameters-for-performance-evaluation-of-despeckling-filters
#8
Nagashettappa Biradar, M L Dewal, ManojKumar Rohit, Sanjaykumar Gowre, Yogesh Gundge
The speckle noise is inherent to transthoracic echocardiographic images. A standard noise-free reference echocardiographic image does not exist. The evaluation of filters based on the traditional parameters such as peak signal-to-noise ratio, mean square error, and structural similarity index may not reflect the true filter performance on echocardiographic images. Therefore, the performance of despeckling can be evaluated using blind assessment metrics like the speckle suppression index, speckle suppression and mean preservation index (SMPI), and beta metric...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27247560/comparison-of-texture-features-used-for-classification-of-life-stages-of-malaria-parasite
#9
Vinayak K Bairagi, Kshipra C Charpe
Malaria is a vector borne disease widely occurring at equatorial region. Even after decades of campaigning of malaria control, still today it is high mortality causing disease due to improper and late diagnosis. To prevent number of people getting affected by malaria, the diagnosis should be in early stage and accurate. This paper presents an automatic method for diagnosis of malaria parasite in the blood images. Image processing techniques are used for diagnosis of malaria parasite and to detect their stages...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27247559/obtaining-thickness-maps-of-corneal-layers-using-the-optimal-algorithm-for-intracorneal-layer-segmentation
#10
Hossein Rabbani, Rahele Kafieh, Mahdi Kazemian Jahromi, Sahar Jorjandi, Alireza Mehri Dehnavi, Fedra Hajizadeh, Alireza Peyman
Optical Coherence Tomography (OCT) is one of the most informative methodologies in ophthalmology and provides cross sectional images from anterior and posterior segments of the eye. Corneal diseases can be diagnosed by these images and corneal thickness maps can also assist in the treatment and diagnosis. The need for automatic segmentation of cross sectional images is inevitable since manual segmentation is time consuming and imprecise. In this paper, segmentation methods such as Gaussian Mixture Model (GMM), Graph Cut, and Level Set are used for automatic segmentation of three clinically important corneal layer boundaries on OCT images...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27195003/polychromatic-iterative-statistical-material-image-reconstruction-for-photon-counting-computed-tomography
#11
Thomas Weidinger, Thorsten M Buzug, Thomas Flohr, Steffen Kappler, Karl Stierstorfer
This work proposes a dedicated statistical algorithm to perform a direct reconstruction of material-decomposed images from data acquired with photon-counting detectors (PCDs) in computed tomography. It is based on local approximations (surrogates) of the negative logarithmic Poisson probability function. Exploiting the convexity of this function allows for parallel updates of all image pixels. Parallel updates can compensate for the rather slow convergence that is intrinsic to statistical algorithms. We investigate the accuracy of the algorithm for ideal photon-counting detectors...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27127497/appropriate-contrast-enhancement-measures-for-brain-and-breast-cancer-images
#12
Suneet Gupta, Rabins Porwal
Medical imaging systems often produce images that require enhancement, such as improving the image contrast as they are poor in contrast. Therefore, they must be enhanced before they are examined by medical professionals. This is necessary for proper diagnosis and subsequent treatment. We do have various enhancement algorithms which enhance the medical images to different extents. We also have various quantitative metrics or measures which evaluate the quality of an image. This paper suggests the most appropriate measures for two of the medical images, namely, brain cancer images and breast cancer images...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27110235/a-dictionary-learning-method-with-total-generalized-variation-for-mri-reconstruction
#13
Hongyang Lu, Jingbo Wei, Qiegen Liu, Yuhao Wang, Xiaohua Deng
Reconstructing images from their noisy and incomplete measurements is always a challenge especially for medical MR image with important details and features. This work proposes a novel dictionary learning model that integrates two sparse regularization methods: the total generalized variation (TGV) approach and adaptive dictionary learning (DL). In the proposed method, the TGV selectively regularizes different image regions at different levels to avoid oil painting artifacts largely. At the same time, the dictionary learning adaptively represents the image features sparsely and effectively recovers details of images...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27066068/a-novel-compressed-sensing-method-for-magnetic-resonance-imaging-exponential-wavelet-iterative-shrinkage-thresholding-algorithm-with-random-shift
#14
Yudong Zhang, Jiquan Yang, Jianfei Yang, Aijun Liu, Ping Sun
Aim. It can help improve the hospital throughput to accelerate magnetic resonance imaging (MRI) scanning. Patients will benefit from less waiting time. Task. In the last decade, various rapid MRI techniques on the basis of compressed sensing (CS) were proposed. However, both computation time and reconstruction quality of traditional CS-MRI did not meet the requirement of clinical use. Method. In this study, a novel method was proposed with the name of exponential wavelet iterative shrinkage-thresholding algorithm with random shift (abbreviated as EWISTARS)...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27051412/contrast-based-3d-2d-registration-of-the-left-atrium-fast-versus-consistent
#15
Matthias Hoffmann, Christopher Kowalewski, Andreas Maier, Klaus Kurzidim, Norbert Strobel, Joachim Hornegger
For augmented fluoroscopy during cardiac ablation, a preoperatively acquired 3D model of a patient's left atrium (LA) can be registered to X-ray images recorded during a contrast agent (CA) injection. An automatic registration method that works also for small amounts of CA is desired. We propose two similarity measures: The first focuses on edges of the patient anatomy. The second computes a contrast agent distribution estimate (CADE) inside the 3D model and rates its consistency with the CA as seen in biplane fluoroscopic images...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27034648/detection-of-cardiac-function-abnormality-from-mri-images-using-normalized-wall-thickness-temporal-patterns
#16
Mai Wael, El-Sayed H Ibrahim, Ahmed S Fahmy
Purpose. To develop a method for identifying abnormal myocardial function based on studying the normalized wall motion pattern during the cardiac cycle. Methods. The temporal pattern of the normalized myocardial wall thickness is used as a feature vector to assess the cardiac wall motion abnormality. Principal component analysis is used to reduce the feature dimensionality and the maximum likelihood method is used to differentiate between normal and abnormal features. The proposed method was applied on a dataset of 27 cases from normal subjects and patients...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/26981111/parallel-digital-watermarking-process-on-ultrasound-medical-images-in-multicores-environment
#17
Hui Liang Khor, Siau-Chuin Liew, Jasni Mohd Zain
With the advancement of technology in communication network, it facilitated digital medical images transmitted to healthcare professionals via internal network or public network (e.g., Internet), but it also exposes the transmitted digital medical images to the security threats, such as images tampering or inserting false data in the images, which may cause an inaccurate diagnosis and treatment. Medical image distortion is not to be tolerated for diagnosis purposes; thus a digital watermarking on medical image is introduced...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/26981110/digital-microdroplet-ejection-technology-based-heterogeneous-objects-prototyping
#18
Na Li, Jiquan Yang, Chunmei Feng, Jianfei Yang, Liya Zhu, Aiqing Guo
An integrate fabrication framework is presented to build heterogeneous objects (HEO) using digital microdroplets injecting technology and rapid prototyping. The heterogeneous materials part design and manufacturing method in structure and material was used to change the traditional process. The net node method was used for digital modeling that can configure multimaterials in time. The relationship of material, color, and jetting nozzle was built. The main important contributions are to combine the structure, material, and visualization in one process and give the digital model for manufacture...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/26904103/patch-based-segmentation-with-spatial-consistency-application-to-ms-lesions-in-brain-mri
#19
Roey Mechrez, Jacob Goldberger, Hayit Greenspan
This paper presents an automatic lesion segmentation method based on similarities between multichannel patches. A patch database is built using training images for which the label maps are known. For each patch in the testing image, k similar patches are retrieved from the database. The matching labels for these k patches are then combined to produce an initial segmentation map for the test case. Finally an iterative patch-based label refinement process based on the initial segmentation map is performed to ensure the spatial consistency of the detected lesions...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/26880871/insight-into-the-molecular-imaging-of-alzheimer-s-disease
#20
REVIEW
Abishek Arora, Neeta Bhagat
Alzheimer's disease is a complex neurodegenerative disease affecting millions of individuals worldwide. Earlier it was diagnosed only via clinical assessments and confirmed by postmortem brain histopathology. The development of validated biomarkers for Alzheimer's disease has given impetus to improve diagnostics and accelerate the development of new therapies. Functional imaging like positron emission tomography (PET), single photon emission computed tomography (SPECT), functional magnetic resonance imaging (fMRI), and proton magnetic resonance spectroscopy provides a means of detecting and characterising the regional changes in brain blood flow, metabolism, and receptor binding sites that are associated with Alzheimer's disease...
2016: International Journal of Biomedical Imaging
journal
journal
41099
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"