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International Journal of Biomedical Imaging

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https://www.readbyqxmd.com/read/28676821/intraoperative-imaging-modalities-and-compensation-for-brain-shift-in-tumor-resection-surgery
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
https://www.readbyqxmd.com/read/28316612/future-of-the-renal-biopsy-time-to-change-the-conventional-modality-using-nanotechnology
#8
REVIEW
Hamid Tayebi Khosroshahi, Behzad Abedi, Sabalan Daneshvar, Yashar Sarbaz, Abolhassan Shakeri Bavil
At the present time, imaging guided renal biopsy is used to provide diagnoses in most types of primary and secondary renal diseases. It has been claimed that renal biopsy can provide a link between diagnosis of renal disease and its pathological conditions. However, sometimes there is a considerable mismatch between patient renal outcome and pathological findings in renal biopsy. This is the time to address some new diagnostic methods to resolve the insufficiency of conventional percutaneous guided renal biopsy...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28293255/sparse-codebook-model-of-local-structures-for-retrieval-of-focal-liver-lesions-using-multiphase-medical-images
#9
Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen
Characterization and individual trait analysis of the focal liver lesions (FLL) is a challenging task in medical image processing and clinical site. The character analysis of a unconfirmed FLL case would be expected to benefit greatly from the accumulated FLL cases with experts' analysis, which can be achieved by content-based medical image retrieval (CBMIR). CBMIR mainly includes discriminated feature extraction and similarity calculation procedures. Bag-of-Visual-Words (BoVW) (codebook-based model) has been proven to be effective for different classification and retrieval tasks...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28255295/image-retrieval-method-for-multiscale-objects-from-optical-colonoscopy-images
#10
Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa, Hiroshi Aoki, Ken Takeuchi, Yasuo Suzuki
Optical colonoscopy is the most common approach to diagnosing bowel diseases through direct colon and rectum inspections. Periodic optical colonoscopy examinations are particularly important for detecting cancers at early stages while still treatable. However, diagnostic accuracy is highly dependent on both the experience and knowledge of the medical doctor. Moreover, it is extremely difficult, even for specialist doctors, to detect the early stages of cancer when obscured by inflammations of the colonic mucosa due to intractable inflammatory bowel diseases, such as ulcerative colitis...
2017: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28096808/recent-advances-in-microwave-imaging-for-breast-cancer-detection
#11
REVIEW
Sollip Kwon, Seungjun Lee
Breast cancer is a disease that occurs most often in female cancer patients. Early detection can significantly reduce the mortality rate. Microwave breast imaging, which is noninvasive and harmless to human, offers a promising alternative method to mammography. This paper presents a review of recent advances in microwave imaging for breast cancer detection. We conclude by introducing new research on a microwave imaging system with time-domain measurement that achieves short measurement time and low system cost...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/28096807/incorporating-colour-information-for-computer-aided-diagnosis-of-melanoma-from-dermoscopy-images-a-retrospective-survey-and-critical-analysis
#12
REVIEW
Ali Madooei, Mark S Drew
Cutaneous melanoma is the most life-threatening form of skin cancer. Although advanced melanoma is often considered as incurable, if detected and excised early, the prognosis is promising. Today, clinicians use computer vision in an increasing number of applications to aid early detection of melanoma through dermatological image analysis (dermoscopy images, in particular). Colour assessment is essential for the clinical diagnosis of skin cancers. Due to this diagnostic importance, many studies have either focused on or employed colour features as a constituent part of their skin lesion analysis systems...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27980535/the-capabilities-and-limitations-of-clinical-magnetic-resonance-imaging-for-detecting-kidney-stones-a-retrospective-study
#13
El-Sayed H Ibrahim, Joseph G Cernigliaro, Mellena D Bridges, Robert A Pooley, William E Haley
The purpose of this work was to investigate the performance of currently available magnetic resonance imaging (MRI) for detecting kidney stones, compared to computed tomography (CT) results, and to determine the characteristics of successfully detected stones. Patients who had undergone both abdominal/pelvic CT and MRI exams within 30 days were studied. The images were reviewed by two expert radiologists blinded to the patients' respective radiological diagnoses. The study consisted of four steps: (1) reviewing the MRI images and determining whether any kidney stone(s) are identified; (2) reviewing the corresponding CT images and confirming whether kidney stones are identified; (3) reviewing the MRI images a second time, armed with the information from the corresponding CT, noting whether any kidney stones are positively identified that were previously missed; (4) for all stones MRI-confirmed on previous steps, the radiologist experts being asked to answer whether in retrospect, with knowledge of size and location on corresponding CT, these stones would be affirmed as confidently identified on MRI or not...
2016: International Journal of Biomedical Imaging
https://www.readbyqxmd.com/read/27847513/an-analytical-approach-for-fast-recovery-of-the-lsi-properties-in-magnetic-particle-imaging
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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