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International Journal of Biomedical Imaging

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https://www.readbyqxmd.com/read/29317858/saliency-based-bleeding-localization-for-wireless-capsule-endoscopy-diagnosis
#1
Hongda Chen, Shaoze Wang, Yong Ding, Dahong Qian
Stomach bleeding is a kind of gastrointestinal disease which can be diagnosed noninvasively by wireless capsule endoscopy (WCE). However, it requires much time for physicians to scan large amount of WCE images. Alternatively, computer-assisted bleeding localization systems are developed where color, edge, and intensity features are defined to distinguish lesions from normal tissues. This paper proposes a saliency-based localization system where three saliency maps are computed: phase congruency-based edge saliency map derived from Log-Gabor filter bands, intensity histogram-guided intensity saliency map, and red proportion-based saliency map...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/29250107/narrow-energy-width-ct-based-on-multivoltage-x-ray-image-decomposition
#2
Jiaotong Wei, Yan Han, Ping Chen
A polychromatic X-ray beam causes the grey of the reconstructed image to depend on its position within a solid and the material being imaged. This factor makes quantitative measurements via computed tomography (CT) imaging very difficult. To obtain a narrow-energy-width reconstructed image, we propose a model to decompose multivoltage X-ray images into many narrow-energy-width X-ray images by utilizing the low frequency characteristics of X-ray scattering. It needs no change of hardware in the typical CT system...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/29234351/space-and-time-resolved-detection-of-platelet-activation-and-von-willebrand-factor-conformational-changes-in-deep-suspensions
#3
Jacopo Biasetti, Kaushik Sampath, Angel Cortez, Alaleh Azhir, Assaf A Gilad, Thomas S Kickler, Tobias Obser, Zaverio M Ruggeri, Joseph Katz
Tracking cells and proteins' phenotypic changes in deep suspensions is critical for the direct imaging of blood-related phenomena in in vitro replica of cardiovascular systems and blood-handling devices. This paper introduces fluorescence imaging techniques for space and time resolved detection of platelet activation, von Willebrand factor (VWF) conformational changes, and VWF-platelet interaction in deep suspensions. Labeled VWF, platelets, and VWF-platelet strands are suspended in deep cuvettes, illuminated, and imaged with a high-sensitivity EM-CCD camera, allowing detection using an exposure time of 1 ms...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/29225613/a-multitasking-electrical-impedance-tomography-system-using-titanium-alloy-electrode
#4
Abdalla Salama, Amin Malekmohammadi, Shahram Mohanna, Rajprasad Rajkumar
This paper presents a multitasking electrical impedance tomography (EIT) system designed to improve the flexibility and durability of an existing EIT system. The ability of the present EIT system to detect, locate, and reshape objects was evaluated by four different experiments. The results of the study show that the system can detect and locate an object with a diameter as small as 1.5 mm in a testing tank with a diameter of 134 mm. Moreover, the results demonstrate the ability of the current system to reconstruct an image of several dielectric object shapes...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/29201039/multitemporal-volume-registration-for-the-analysis-of-rheumatoid-arthritis-evolution-in-the-wrist
#5
Roberta Ferretti, Silvana G Dellepiane
This paper describes a method based on an automatic segmentation process to coregister carpal bones of the same patient imaged at different time points. A rigid registration was chosen to avoid artificial bone deformations and to allow finding eventual differences in the bone shape due to erosion, disease regression, or other eventual pathological signs. The actual registration step is performed on the basis of principal inertial axes of each carpal bone volume, as estimated from the inertia matrix. In contrast to already published approaches, the proposed method suggests splitting the 3D rotation into successive rotations about one axis at a time (the so-called basic or elemental rotations)...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/29158729/evaluation-of-deformable-image-registration-for-three-dimensional-temporal-subtraction-of-chest-computed-tomography-images
#6
Ping Yan, Yoshie Kodera, Kazuhiro Shimamoto
Purpose: To perform lung image registration for reducing misregistration artifacts on three-dimensional (3D) temporal subtraction of chest computed tomography (CT) images, in order to enhance temporal changes in lung lesions and evaluate these changes after deformable image registration (DIR). Methods: In 10 cases, mutual information (MI) lung mask affine mapping combined with cross-correlation (CC) lung diffeomorphic mapping was used to implement lung volume registration...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/29118806/computer-aided-cobb-measurement-based-on-automatic-detection-of-vertebral-slopes-using-deep-neural-network
#7
Junhua Zhang, Hongjian Li, Liang Lv, Yufeng Zhang
Objective: To develop a computer-aided method that reduces the variability of Cobb angle measurement for scoliosis assessment. Methods: A deep neural network (DNN) was trained with vertebral patches extracted from spinal model radiographs. The Cobb angle of the spinal curve was calculated automatically from the vertebral slopes predicted by the DNN. Sixty-five in vivo radiographs and 40 model radiographs were analyzed. An experienced surgeon performed manual measurements on the aforementioned radiographs...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28947898/an-automatic-image-processing-system-for-glaucoma-screening
#8
Ahmed Almazroa, Sami Alodhayb, Kaamran Raahemifar, Vasudevan Lakshminarayanan
Horizontal and vertical cup to disc ratios are the most crucial parameters used clinically to detect glaucoma or monitor its progress and are manually evaluated from retinal fundus images of the optic nerve head. Due to the rarity of the glaucoma experts as well as the increasing in glaucoma's population, an automatically calculated horizontal and vertical cup to disc ratios (HCDR and VCDR, resp.) can be useful for glaucoma screening. We report on two algorithms to calculate the HCDR and VCDR. In the algorithms, level set and inpainting techniques were developed for segmenting the disc, while thresholding using Type-II fuzzy approach was developed for segmenting the cup...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28932236/quantitative-evaluation-of-temporal-regularizers-in-compressed-sensing-dynamic-contrast-enhanced-mri-of-the-breast
#9
Dong Wang, Lori R Arlinghaus, Thomas E Yankeelov, Xiaoping Yang, David S Smith
PURPOSE: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is used in cancer imaging to probe tumor vascular properties. Compressed sensing (CS) theory makes it possible to recover MR images from randomly undersampled k-space data using nonlinear recovery schemes. The purpose of this paper is to quantitatively evaluate common temporal sparsity-promoting regularizers for CS DCE-MRI of the breast. METHODS: We considered five ubiquitous temporal regularizers on 4...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28894460/an-automatic-gastrointestinal-polyp-detection-system-in-video-endoscopy-using-fusion-of-color-wavelet-and-convolutional-neural-network-features
#10
Mustain Billah, Sajjad Waheed, Mohammad Motiur Rahman
Gastrointestinal polyps are considered to be the precursors of cancer development in most of the cases. Therefore, early detection and removal of polyps can reduce the possibility of cancer. Video endoscopy is the most used diagnostic modality for gastrointestinal polyps. But, because it is an operator dependent procedure, several human factors can lead to misdetection of polyps. Computer aided polyp detection can reduce polyp miss detection rate and assists doctors in finding the most important regions to pay attention to...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28883830/corrigendum-to-automated-feature-extraction-in-brain-tumor-by-magnetic-resonance-imaging-using-gaussian-mixture-models
#11
Ahmad Chaddad, Markus Luedi, Pascal O Zinn, Rivka Colen
[This corrects the article DOI: 10.1155/2015/868031.].
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28808441/an-improved-extrapolation-scheme-for-truncated-ct-data-using-2d-fourier-based-helgason-ludwig-consistency-conditions
#12
Yan Xia, Martin Berger, Sebastian Bauer, Shiyang Hu, Andre Aichert, Andreas Maier
We improve data extrapolation for truncated computed tomography (CT) projections by using Helgason-Ludwig (HL) consistency conditions that mathematically describe the overlap of information between projections. First, we theoretically derive a 2D Fourier representation of the HL consistency conditions from their original formulation (projection moment theorem), for both parallel-beam and fan-beam imaging geometry. The derivation result indicates that there is a zero energy region forming a double-wedge shape in 2D Fourier domain...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28744304/corrigendum-to-automatic-characterization-of-the-physiological-condition-of-the-carotid-artery-in-2d-ultrasound-image-sequences-using-spatiotemporal-and-spatiospectral-2d-maps
#13
Hamed Hamid Muhammed, Jimmy C Azar
[This corrects the article DOI: 10.1155/2014/876267.].
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28676821/intraoperative-imaging-modalities-and-compensation-for-brain-shift-in-tumor-resection-surgery
#14
REVIEW
Siming Bayer, Andreas Maier, Martin Ostermeier, Rebecca Fahrig
Intraoperative brain shift during neurosurgical procedures is a well-known phenomenon caused by gravity, tissue manipulation, tumor size, loss of cerebrospinal fluid (CSF), and use of medication. For the use of image-guided systems, this phenomenon greatly affects the accuracy of the guidance. During the last several decades, researchers have investigated how to overcome this problem. The purpose of this paper is to present a review of publications concerning different aspects of intraoperative brain shift especially in a tumor resection surgery such as intraoperative imaging systems, quantification, measurement, modeling, and registration techniques...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28567054/monte-carlo-simulation-for-polychromatic-x-ray-fluorescence-computed-tomography-with-sheet-beam-geometry
#15
Shanghai Jiang, Peng He, Luzhen Deng, Mianyi Chen, Biao Wei
X-ray fluorescence computed tomography (XFCT) based on sheet beam can save a huge amount of time to obtain a whole set of projections using synchrotron. However, it is clearly unpractical for most biomedical research laboratories. In this paper, polychromatic X-ray fluorescence computed tomography with sheet-beam geometry is tested by Monte Carlo simulation. First, two phantoms (A and B) filled with PMMA are used to simulate imaging process through GEANT 4. Phantom A contains several GNP-loaded regions with the same size (10 mm) in height and diameter but different Au weight concentration ranging from 0...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28487724/fast-compressed-sensing-mri-based-on-complex-double-density-dual-tree-discrete-wavelet-transform
#16
Shanshan Chen, Bensheng Qiu, Feng Zhao, Chao Li, Hongwei Du
Compressed sensing (CS) has been applied to accelerate magnetic resonance imaging (MRI) for many years. Due to the lack of translation invariance of the wavelet basis, undersampled MRI reconstruction based on discrete wavelet transform may result in serious artifacts. In this paper, we propose a CS-based reconstruction scheme, which combines complex double-density dual-tree discrete wavelet transform (CDDDT-DWT) with fast iterative shrinkage/soft thresholding algorithm (FISTA) to efficiently reduce such visual artifacts...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28408922/a-novel-histogram-region-merging-based-multithreshold-segmentation-algorithm-for-mr-brain-images
#17
Siyan Liu, Xuanjing Shen, Yuncong Feng, Haipeng Chen
Multithreshold segmentation algorithm is time-consuming, and the time complexity will increase exponentially with the increase of thresholds. In order to reduce the time complexity, a novel multithreshold segmentation algorithm is proposed in this paper. First, all gray levels are used as thresholds, so the histogram of the original image is divided into 256 small regions, and each region corresponds to one gray level. Then, two adjacent regions are merged in each iteration by a new designed scheme, and a threshold is removed each time...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28408921/phase-segmentation-methods-for-an-automatic-surgical-workflow-analysis
#18
Dinh Tuan Tran, Ryuhei Sakurai, Hirotake Yamazoe, Joo-Ho Lee
In this paper, we present robust methods for automatically segmenting phases in a specified surgical workflow by using latent Dirichlet allocation (LDA) and hidden Markov model (HMM) approaches. More specifically, our goal is to output an appropriate phase label for each given time point of a surgical workflow in an operating room. The fundamental idea behind our work lies in constructing an HMM based on observed values obtained via an LDA topic model covering optical flow motion features of general working contexts, including medical staff, equipment, and materials...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28367213/image-analysis-for-mri-based-brain-tumor-detection-and-feature-extraction-using-biologically-inspired-bwt-and-svm
#19
Nilesh Bhaskarrao Bahadure, Arun Kumar Ray, Har Pal Thethi
The segmentation, detection, and extraction of infected tumor area from magnetic resonance (MR) images are a primary concern but a tedious and time taking task performed by radiologists or clinical experts, and their accuracy depends on their experience only. So, the use of computer aided technology becomes very necessary to overcome these limitations. In this study, to improve the performance and reduce the complexity involves in the medical image segmentation process, we have investigated Berkeley wavelet transformation (BWT) based brain tumor segmentation...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28321246/medical-image-fusion-based-on-feature-extraction-and-sparse-representation
#20
Yin Fei, Gao Wei, Song Zongxi
As a novel multiscale geometric analysis tool, sparse representation has shown many advantages over the conventional image representation methods. However, the standard sparse representation does not take intrinsic structure and its time complexity into consideration. In this paper, a new fusion mechanism for multimodal medical images based on sparse representation and decision map is proposed to deal with these problems simultaneously. Three decision maps are designed including structure information map (SM) and energy information map (EM) as well as structure and energy map (SEM) to make the results reserve more energy and edge information...
2017: International Journal of Biomedical Imaging
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