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Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society

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https://www.readbyqxmd.com/read/27914956/individual-refinement-of-attenuation-correction-maps-for-hybrid-pet-mr-based-on-multi-resolution-regional-learning
#1
Kuangyu Shi, Sebastian Fürst, Liang Sun, Mathias Lukas, Nassir Navab, Stefan Förster, Sibylle I Ziegler
PET/MR is an emerging hybrid imaging modality. However, attenuation correction (AC) remains challenging for hybrid PET/MR in generating accurate PET images. Segmentation-based methods on special MR sequences are most widely recommended by vendors. However, their accuracy is usually not high. Individual refinement of available certified attenuation maps may be helpful for further clinical applications. In this study, we proposed a multi-resolution regional learning (MRRL) scheme to utilize the internal consistency of the patient data...
November 19, 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27887989/quantitative-pet-image-reconstruction-employing-nested-expectation-maximization-deconvolution-for-motion-compensation
#2
Nicolas A Karakatsanis, Charalampos Tsoumpas, Habib Zaidi
Bulk body motion may randomly occur during PET acquisitions introducing blurring, attenuation-emission mismatches and, in dynamic PET, discontinuities in the measured time activity curves between consecutive frames. Meanwhile, dynamic PET scans are longer, thus increasing the probability of bulk motion. In this study, we propose a streamlined 3D PET motion-compensated image reconstruction (3D-MCIR) framework, capable of robustly deconvolving intra-frame motion from a static or dynamic 3D sinogram. The presented 3D-MCIR methods need not partition the data into multiple gates, such as 4D MCIR algorithms, or access list-mode (LM) data, such as LM MCIR methods, both associated with increased computation or memory resources...
November 16, 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27876173/automated-detection-of-bone-metastatic-changes-using-serial-ct-scans
#3
Jihun Oh, Gyehyun Kim, Jaesung Lee, Minsu Cheon, Yongsup Park, Sewon Kim, Jonghyon Yi, Ho Yun Lee
Bone metastases resulting from a primary tumor invasion to the bone are common and cause significant morbidity in advanced cancer patients. Although the detection of bone metastases is often straightforward, it is difficult to identify their spread and track their changes, particularly in early stages. This paper presents a novel method that automatically finds the changes in appearance and the progress of bone metastases using longitudinal CT images. In contrast to previous methods based on nodule detection within a specific bone site in an individual CT scan, the approach in the present study is based on the subtraction between two registered CT volumes...
November 13, 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27887990/the-new-approach-of-multiple-genome-sequence-parallel-matching-based-on-gpu
#4
Sha Ding, Shi-Yuan Zhao, Gang Liao, Tao Lin
Suffix trees and suffix arrays have recently received broad attention and use in bioinformatics applications, in particular for the use of DNA sequence alignments at the early matching phrase of heuristic algorithms. This research comes up with the implementation as well as optimization of suffix tree and suffix array on many-core and multi-core platforms for accelerating multiple genome sequence searching. In comparison to the traditional approaches, a binary searching with tile optimization and coalesced memory access under the GPU architecture is conducted in an effective fashion...
November 11, 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27717712/improving-classification-of-protein-binders-for-virtual-drug-screening-by-novel-swarm-based-feature-selection-techniques
#5
Jinyan Li, Simon Fong, Shirley Siu, Sabah Mohammed, Jinan Fiaidhi, Kelvin K L Wong
Drug design involves classification of protein binding which is usually done in a computer simulation prior to extensive actual tests. Accurate classification of protein binding is essential but it is obstructed with a very challenging task of feature selection (FS) because there are too many potential features. Dorothea as a case of virtual screening in drug design, has 100,000 features that inflate to a very huge (of size 2(100,000) possible candidate feature subsets to be selected) but very sparse search space...
September 30, 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27665058/a-location-to-segmentation-strategy-for-automatic-exudate-segmentation-in-colour-retinal-fundus-images
#6
Qing Liu, Beiji Zou, Jie Chen, Wei Ke, Kejuan Yue, Zailiang Chen, Guoying Zhao
The automatic exudate segmentation in colour retinal fundus images is an important task in computer aided diagnosis and screening systems for diabetic retinopathy. In this paper, we present a location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images, which includes three stages: anatomic structure removal, exudate location and exudate segmentation. In anatomic structure removal stage, matched filters based main vessels segmentation method and a saliency based optic disk segmentation method are proposed...
September 15, 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27838084/evaluation-of-3d-crt-imrt-and-vmat-radiotherapy-plans-for-left-breast-cancer-based-on-clinical-dosimetric-study
#7
Haiyun Liu, Xinde Chen, Zhijian He, Jun Li
OBJECTIVE: This paper aims to compare dosimetric differences based on three types of radiotherapy plans for postoperative left breast cancer. In particular, based on a clinical dosimetric study, the three-dimensional conformal radiotherapy (3D-CRT), intensity- modulated radiation therapy (IMRT) and VMAT plans were implemented on 15 cases of postoperative patients with left breast cancer with prescription doses of 5000cGy. METHODS AND RESULTS: Dose volume histogram (DVH) was used to analyze each evaluation index of clinical target volume (CTV) and organs at risk (OARs)...
December 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27793502/detection-of-small-colon-bleeding-in-wireless-capsule-endoscopy-videos
#8
Muhammad Arslan Usman, G B Satrya, Muhammad Rehan Usman, Soo Young Shin
In the recent years, wireless capsule endoscopy (WCE) technology has played a very important role in diagnosing diseases within the gastro intestinal (GI) tract of human beings. The WCE device captures images of the GI tract of patient with a certain frame rate. Physicians examine these images in order to find abnormalities in the GI tract. This examination process is very time consuming and hectic for the physician as a WCE device captures around 60,000 images on the average. At present, there are no standards defined for the WCE image classification...
December 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27743641/spine-labeling-in-axial-magnetic-resonance-imaging-via-integral-kernels
#9
Brandon Miles, Ismail Ben Ayed, Seyed-Parsa Hojjat, Michael H Wang, Shuo Li, Aaron Fenster, Gregory J Garvin
This study investigates a fast integral-kernel algorithm for classifying (labeling) the vertebra and disc structures in axial magnetic resonance images (MRI). The method is based on a hierarchy of feature levels, where pixel classifications via non-linear probability product kernels (PPKs) are followed by classifications of 2D slices, individual 3D structures and groups of 3D structures. The algorithm further embeds geometric priors based on anatomical measurements of the spine. Our classifier requires evaluations of computationally expensive integrals at each pixel, and direct evaluations of such integrals would be prohibitively time consuming...
December 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27671949/automatic-coronary-artery-segmentation-based-on-multi-domains-remapping-and-quantile-regression-in-angiographies
#10
Zhixun Li, Yingtao Zhang, Huiling Gong, Weimin Li, Xianglong Tang
Coronary artery disease has become the most dangerous diseases to human life. And coronary artery segmentation is the basis of computer aided diagnosis and analysis. Existing segmentation methods are difficult to handle the complex vascular texture due to the projective nature in conventional coronary angiography. Due to large amount of data and complex vascular shapes, any manual annotation has become increasingly unrealistic. A fully automatic segmentation method is necessary in clinic practice. In this work, we study a method based on reliable boundaries via multi-domains remapping and robust discrepancy correction via distance balance and quantile regression for automatic coronary artery segmentation of angiography images...
December 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27671948/a-bayesian-approach-to-fiber-orientation-estimation-guided-by-volumetric-tract-segmentation
#11
Chuyang Ye, Jerry L Prince
Diffusion magnetic resonance imaging (dMRI) provides information about the microstructure of white matter in the human brain. From dMRI, streamlining tractography is often used to reconstruct computational representations of white matter tracts from which differences in structural connectivity can be explored. In the fiber tracking process, anatomical information can help reduce tracking errors caused by crossing fibers and image noise. In this paper, we propose a Bayesian method for estimating fiber orientations (FOs) guided by anatomical tract information using diffusion tensor imaging (DTI), which is a standard clinical and research dMRI protocol...
December 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27614677/a-multistage-selective-weighting-method-for-improved-microwave-breast-tomography
#12
Atif Shahzad, Martin O'Halloran, Edward Jones, Martin Glavin
Microwave tomography has shown potential to successfully reconstruct the dielectric properties of the human breast, thereby providing an alternative to other imaging modalities used in breast imaging applications. Considering the costly forward solution and complex iterative algorithms, computational complexity becomes a major bottleneck in practical applications of microwave tomography. In addition, the natural tendency of microwave inversion algorithms to reward high contrast breast tissue boundaries, such as the skin-adipose interface, usually leads to a very slow reconstruction of the internal tissue structure of human breast...
December 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27567596/the-brain-effects-of-laser-acupuncture-at-thirteen-ghost-acupoints-in-healthy-individuals-a-resting-state-functional-mri-investigation
#13
Jian Lv, Changzheng Shi, Yanjia Deng, Wutao Lou, Jing Hu, Lin Shi, Liangping Luo, Defeng Wang
Acupuncture at thirteen ghost acupoints (TGA) was an effective treatment of neuropsychological disorders. However, the underlying neurological mechanisms of acupuncture at the TGA have not been revealed by modern scientific technologies. As laser acupuncture emerges with the painless and noninvasive advantages and the functional magnetic resonance imaging (fMRI) allows us to investigate the activation of the brain in vivo, we performed the preliminary study to investigate the relation to brain effects of acupuncture at TGA based on resting-state fMRI (rs-fMRI)...
December 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27513219/mri-reconstruction-with-joint-global-regularization-and-transform-learning
#14
A Korhan Tanc, Ender M Eksioglu
Sparsity based regularization has been a popular approach to remedy the measurement scarcity in image reconstruction. Recently, sparsifying transforms learned from image patches have been utilized as an effective regularizer for the Magnetic Resonance Imaging (MRI) reconstruction. Here, we infuse additional global regularization terms to the patch-based transform learning. We develop an algorithm to solve the resulting novel cost function, which includes both patchwise and global regularization terms. Extensive simulation results indicate that the introduced mixed approach has improved MRI reconstruction performance, when compared to the algorithms which use either of the patchwise transform learning or global regularization terms alone...
October 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27490317/watertight-modeling-and-segmentation-of-bifurcated-coronary-arteries-for-blood-flow-simulation-using-ct-imaging
#15
Haoyin Zhou, Peng Sun, Seongmin Ha, Devon Lundine, Guanglei Xiong
Image-based simulation of blood flow using computational fluid dynamics has been shown to play an important role in the diagnosis of ischemic coronary artery disease. Accurate extraction of complex coronary artery structures in a watertight geometry is a prerequisite, but manual segmentation is both tedious and subjective. Several semi- and fully automated coronary artery extraction approaches have been developed but have faced several challenges. Conventional voxel-based methods allow for watertight segmentation but are slow and difficult to incorporate expert knowledge...
October 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27490316/surface-reconstruction-for-planning-and-navigation-of-liver-resections
#16
Rafael Palomar, Faouzi A Cheikh, Bjørn Edwin, Azeddine Beghdadhi, Ole J Elle
Computer-assisted systems for planning and navigation of liver resection procedures rely on the use of patient-specific 3D geometric models obtained from computed tomography. In this work, we propose the application of Poisson surface reconstruction (PSR) to obtain 3D models of the liver surface with applications to planning and navigation of liver surgery. In order to apply PSR, the introduction of an efficient transformation of the segmentation data, based on computation of gradient fields, is proposed. One of the advantages of PSR is that it requires only one control parameter, allowing the process to be fully automatic once the optimal value is estimated...
October 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27490315/penalized-weighted-least-squares-approach-for-multienergy-computed-tomography-image-reconstruction-via-structure-tensor-total-variation-regularization
#17
Dong Zeng, Yuanyuan Gao, Jing Huang, Zhaoying Bian, Hua Zhang, Lijun Lu, Jianhua Ma
Multienergy computed tomography (MECT) allows identifying and differentiating different materials through simultaneous capture of multiple sets of energy-selective data belonging to specific energy windows. However, because sufficient photon counts are not available in each energy window compared with that in the whole energy window, the MECT images reconstructed by the analytical approach often suffer from poor signal-to-noise and strong streak artifacts. To address the particular challenge, this work presents a penalized weighted least-squares (PWLS) scheme by incorporating the new concept of structure tensor total variation (STV) regularization, which is henceforth referred to as 'PWLS-STV' for simplicity...
October 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27471097/lung-diaphragm-tracking-in-cbct-images-using-spatio-temporal-mrf
#18
Manivannan Sundarapandian, Ramakrishnan Kalpathi, R Alfredo C Siochi, Amrut S Kadam
In EBRT in order to monitor the intra fraction motion of thoracic and abdominal tumors, one of the standard approaches is to use the lung diaphragm apex as an internal marker. However, tracking the position of the apex from image based observations is a challenging problem, as it undergoes both position and shape variation. The purpose of this paper is to propose an alternative method for tracking the ipsi-lateral hemidiaphragm apex (IHDA) position on Cone Beam Computed Tomography (CBCT) projection images. A hierarchical method is proposed to track the IHDA position across the frames...
October 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27634548/automatic-epileptic-seizure-detection-in-eegs-based-on-mf-dfa-and-svm
#19
Tingxi Wen, Zhongnan Zhang, Wei Huang, Meihong Wang, Chunfeng Li
Epilepsy is a chronic disease with transient brain dysfunction that results from the sudden abnormal discharge of neurons in the brain. Since electroencephalogram (EEG) is a harmless and noninvasive detection method, it plays an important role in the detection of neurological diseases. The brain electrical signals are random, non-stationary and nonlinear, and therefore, the process of analyzing EEG in order to detect neurological diseases is a significant work. This paper extracts features from EEG by multi-fractal detrended fluctuation analysis (MF-DFA) during the first stage...
September 9, 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/27341026/a-multi-scale-tensor-voting-approach-for-small-retinal-vessel-segmentation-in-high-resolution-fundus-images
#20
Argyrios Christodoulidis, Thomas Hurtut, Houssem Ben Tahar, Farida Cheriet
Segmenting the retinal vessels from fundus images is a prerequisite for many CAD systems for the automatic detection of diabetic retinopathy lesions. So far, research efforts have concentrated mainly on the accurate localization of the large to medium diameter vessels. However, failure to detect the smallest vessels at the segmentation step can lead to false positive lesion detection counts in a subsequent lesion analysis stage. In this study, a new hybrid method for the segmentation of the smallest vessels is proposed...
September 2016: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
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