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Journal of Medical Imaging

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https://www.readbyqxmd.com/read/28804731/eye-tracking-in-catheter-based-cardiovascular-interventions-early-results
#1
Peter Lanzer, Mohammad Al-Naser, Syed Saqib Bukhari, Andreas Dengel, Elizabeth A Krupinski
Visual x-ray image processing (XRIP) represents a fundamental component of catheter-based cardiovascular interventions (CBCVIs). To date, no data are available to define XRIP in this setting. To characterize CBCVI XRIP, we developed a computer-based method allowing continuous temporal-spatial analysis of data recorded by a head-mounted eye-tracking device. Quantitative analysis of gaze duration of an expert operator (EO) revealed that the average time in minutes spent viewing the images on the display screen was [Formula: see text] and [Formula: see text] of the total recorded time in coronary angiography (CA) and in CA followed by CBCVI, respectively...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28804730/breast-dose-reduction-with-organ-based-wide-angle-tube-current-modulated-ct
#2
Wanyi Fu, Gregory M Sturgeon, Greeshma Agasthya, William Paul Segars, Anuj J Kapadia, Ehsan Samei
This study aimed to estimate the organ dose reduction potential for organ-dose-based tube current modulated (ODM) thoracic computed tomography (CT) with a wide dose reduction arc. Twenty-one computational anthropomorphic phantoms (XCAT) were used to create a virtual patient population with clinical anatomic variations. The phantoms were created based on patient images with normal anatomy (age range: 27 to 66 years, weight range: 52.0 to 105.8 kg). For each phantom, two breast tissue compositions were simulated: [Formula: see text] and [Formula: see text] (glandular-to-adipose ratio)...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28804729/organ-dose-variability-and-trends-in-tomosynthesis-and-radiography
#3
Jocelyn Hoye, Yakun Zhang, Greeshma Agasthya, Greg Sturgeon, Anuj Kapadia, W Paul Segars, Ehsan Samei
The purpose of this study was to investigate relationships between patient attributes and organ dose for a population of computational phantoms for 20 tomosynthesis and radiography protocols. Organ dose was estimated from 54 adult computational phantoms (age: 18 to 78 years, weight 52 to 117 kg) using a validated Monte-Carlo simulation (PENELOPE) of a system capable of performing tomosynthesis and radiography. The geometry and field of view for each exam were modeled to match clinical protocols. For each protocol, the energy deposited in each organ was estimated by the simulations, converted to dose units, and then normalized by exposure in air...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28744478/efficient-orbital-structures-segmentation-with-prior-anatomical-knowledge
#4
Nava Aghdasi, Yangming Li, Angelique Berens, Richard A Harbison, Kris S Moe, Blake Hannaford
We present a fully automatic method for segmenting orbital structures (globes, optic nerves, and extraocular muscles) in CT images. Prior anatomical knowledge, such as shape, intensity, and spatial relationships of organs and landmarks, were utilized to define a volume of interest (VOI) that contains the desired structures. Then, VOI was used for fast localization and successful segmentation of each structure using predefined rules. Testing our method with 30 publicly available datasets, the average Dice similarity coefficient for right and left sides of [0...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28695156/extending-the-concept-of-weighted-ct-dose-index-to-elliptical-phantoms-of-various-aspect-ratios
#5
Andrey Markovich, Ashraf G Morgan, Frank F Dong, Andrew N Primak, Xiang Li
The purpose of this study was to extend the concept of weighted CT dose index ([Formula: see text]) to the elliptical phantoms. Based on the published body dimension data, eight body aspect ratios were chosen between 1 (perfectly circular) and 1.72 (extremely elliptical). For each aspect ratio, two elliptical cylinders were created digitally to represent adult and pediatric bodies. Their cross-sectional areas were identical to the standard 32- and 16-cm CTDI phantoms. For each phantom, [Formula: see text] at center and periphery were simulated for tube voltages between 70 and 140 kVp using a validated Monte Carlo program...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28680912/survey-on-impact-of-regulations-on-radiation-safety-and-development-of-radiation-safety-culture-in-25-countries
#6
Theocharis Berris, Dejan Žontar, Madan Mohan Rehani
The purpose of this work was to assess the: (a) impact of regulations on radiation safety and development of radiation safety culture, (b) perceived safety level in the participating facilities, (c) future needs regarding strengthening of regulations, patient dose consideration, and exposure tracking, in different countries around the world. Appropriate questionnaires probing the above-mentioned themes were sent to radiologic professionals working in healthcare facilities. A total of 257 responses from 25 countries were received and analyzed...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28630887/calculation-of-the-entrance-skin-dose-distribution-for-fluoroscopically-guided-interventions-using-a-pencil-beam-backscatter-model
#7
Sarath Vijayan, Zhenyu Xiong, Stephen Rudin, Daniel R Bednarek
Radiation backscattered from the patient can contribute substantially to skin dose in fluoroscopically guided interventions (FGIs). The distribution of backscatter is not spatially uniform, and use of a single backscatter factor cannot provide an accurate determination of skin dose. This study evaluates a method to determine the backscatter spatial distribution through convolution of a backscatter-to-primary (BP) point spread function (PSFn). The PSFn is derived for a pencil beam using EGSnrc Monte Carlo software and is convolved with primary distributions using a dose-tracking system...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28630886/review-of-the-current-status-of-radiation-protection-in-diagnostic-radiology-in-africa
#8
REVIEW
Wilbroad Muhogora, Madan M Rehani
The aim of this paper is to review the available published studies from African countries on patient doses and medical radiation protection and identify strengths, weaknesses, and challenges. Papers on radiation doses to patients published until 2016 pertaining to studies in African countries were reviewed. Radiography, interventional radiology, computed tomography (CT), and mammography modalities were covered. In radiography, the entrance surface air kerma values were below the established diagnostic reference levels (DRLs) provided by the International Atomic Energy Agency, European Commission, and National Council on Radiation Protection and Measurements...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28680911/ziehl-neelsen-sputum-smear-microscopy-image-database-a-resource-to-facilitate-automated-bacilli-detection-for-tuberculosis-diagnosis
#9
Mohammad Imran Shah, Smriti Mishra, Vinod Kumar Yadav, Arun Chauhan, Malay Sarkar, Sudarshan K Sharma, Chittaranjan Rout
Ziehl-Neelsen stained microscopy is a crucial bacteriological test for tuberculosis detection, but its sensitivity is poor. According to the World Health Organization (WHO) recommendation, 300 viewfields should be analyzed to augment sensitivity, but only a few viewfields are examined due to patient load. Therefore, tuberculosis diagnosis through automated capture of the focused image (autofocusing), stitching of viewfields to form mosaics (autostitching), and automatic bacilli segmentation (grading) can significantly improve the sensitivity...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28680910/compressed-sensing-magnetic-resonance-imaging-based-on-shearlet-sparsity-and-nonlocal-total-variation
#10
Ali Pour Yazdanpanah, Emma E Regentova
Compressed sensing (CS) has been utilized for acceleration of data acquisition in magnetic resonance imaging (MRI). MR images can then be reconstructed with an undersampling rate significantly lower than that required by the Nyquist sampling criterion. However, the CS usually produces images with artifacts, especially at high reduction rates. We propose a CS MRI method called shearlet sparsity and nonlocal total variation (SS-NLTV) that exploits SS-NLTV regularization. The shearlet transform is an optimal sparsifying transform with excellent directional sensitivity compared with that by wavelet transform...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28680909/segmentation-free-x-ray-energy-spectrum-estimation-for-computed-tomography-using-dual-energy-material-decomposition
#11
Wei Zhao, Lei Xing, Qiude Zhang, Qingguo Xie, Tianye Niu
An x-ray energy spectrum plays an essential role in computed tomography (CT) imaging and related tasks. Because of the high photon flux of clinical CT scanners, most of the spectrum estimation methods are indirect and usually suffer from various limitations. In this study, we aim to provide a segmentation-free, indirect transmission measurement-based energy spectrum estimation method using dual-energy material decomposition. The general principle of this method is to minimize the quadratic error between the polychromatic forward projection and the raw projection to calibrate a set of unknown weights, which are used to express the unknown spectrum together with a set of model spectra...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28680908/special-section-guest-editorial-digital-pathology
#12
Metin N Gurcan, John E Tomaszewski, Anant Madabhushi
No abstract text is available yet for this article.
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28653017/automatic-extraction-of-cell-nuclei-from-h-e-stained-histopathological-images
#13
Faliu Yi, Junzhou Huang, Lin Yang, Yang Xie, Guanghua Xiao
Extraction of cell nuclei from hematoxylin and eosin (H&E)-stained histopathological images is an essential preprocessing step in computerized image analysis for disease detection, diagnosis, and prognosis. We present an automated cell nuclei segmentation approach that works with H&E-stained images. A color deconvolution algorithm was first applied to the image to get the hematoxylin channel. Using a morphological operation and thresholding technique on the hematoxylin channel image, candidate target nuclei and background regions were detected, which were then used as markers for a marker-controlled watershed transform segmentation algorithm...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28653016/gland-segmentation-in-prostate-histopathological-images
#14
Malay Singh, Emarene Mationg Kalaw, Danilo Medina Giron, Kian-Tai Chong, Chew Lim Tan, Hwee Kuan Lee
Glandular structural features are important for the tumor pathologist in the assessment of cancer malignancy of prostate tissue slides. The varying shapes and sizes of glands combined with the tedious manual observation task can result in inaccurate assessment. There are also discrepancies and low-level agreement among pathologists, especially in cases of Gleason pattern 3 and pattern 4 prostate adenocarcinoma. An automated gland segmentation system can highlight various glandular shapes and structures for further analysis by the pathologist...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28653015/classification-of-breast-masses-in-ultrasound-images-using-self-adaptive-differential-evolution-extreme-learning-machine-and-rough-set-feature-selection
#15
Kadayanallur Mahadevan Prabusankarlal, Palanisamy Thirumoorthy, Radhakrishnan Manavalan
A method using rough set feature selection and extreme learning machine (ELM) whose learning strategy and hidden node parameters are optimized by self-adaptive differential evolution (SaDE) algorithm for classification of breast masses is investigated. A pathologically proven database of 140 breast ultrasound images, including 80 benign and 60 malignant, is used for this study. A fast nonlocal means algorithm is applied for speckle noise removal, and multiresolution analysis of undecimated discrete wavelet transform is used for accurate segmentation of breast lesions...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28653014/retrospective-four-dimensional-magnetic-resonance-imaging-with-image-based-respiratory-surrogate-a-sagittal-coronal-diaphragm-point-of-intersection-motion-tracking-method
#16
Yilin Liu, Fang-Fang Yin, Brian G Czito, Mustafa R Bashir, Manisha Palta, Jing Cai
A four-dimensional magnetic resonance imaging (4-D-MRI) technique with Sagittal-Coronal-Diaphragm Point-of-Intersection (SCD-PoI) as a respiratory surrogate is proposed. To develop an image-based respiratory surrogate, the SCD-PoI motion tracking method is used for retrospective 4-D-MRI reconstruction. Single-slice sagittal MR cine was acquired at a location near the center of the diaphragmatic dome. Multiple-slice coronal MR cines were acquired for 4-D-MRI reconstruction. As a motion surrogate, the diaphragm motion was measured from the PoI among the sagittal MRI cine plane, coronal MRI cine planes, and the diaphragm surface...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28653013/estimation-of-signal-and-noise-for-a-whole-body-research-photon-counting-ct-system
#17
Zhoubo Li, Shuai Leng, Zhicong Yu, Steffen Kappler, Cynthia H McCollough
Photon-counting detector CT has a large number of acquisition parameters that require optimization, particularly the energy threshold configurations. Fast and accurate estimation of both signal and noise in photon-counting CT (PCCT) images can facilitate such optimization. Using the detector response function of a research PCCT system, we derived mathematical models for both signal and noise estimation, taking into account beam spectrum and filtration, object attenuation, water beam hardening, detector response, radiation dose, energy thresholds, and the propagation of noise...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28653012/optically-tracked-single-coil-scanning-magnetic-induction-tomography
#18
Joe R Feldkamp, Stephen Quirk
Recent work has shown that single-coil, magnetic induction tomography (MIT) is useful for visualizing three-dimensional electrical conductivity distributions within biological targets. Coil-induced eddy currents and the associated secondary field are detected as an inductive loss while the coil is relocated to several unique positions and orientations near a target. Image reconstruction is then accomplished by inversion of a convolution integral that quantitatively maps inductive loss with conductivity. Previously, coil position and orientation had to be established by a template, which required assignment of fixed locations for the coil to visit...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28653011/influence-of-study-design-on-digital-pathology-image-quality-evaluation-the-need-to-define-a-clinical-task
#19
Ljiljana Platiša, Leen Van Brantegem, Asli Kumcu, Richard Ducatelle, Wilfried Philips
Despite the current rapid advance in technologies for whole slide imaging, there is still no scientific consensus on the recommended methodology for image quality assessment of digital pathology slides. For medical images in general, it has been recommended to assess image quality in terms of doctors' success rates in performing a specific clinical task while using the images (clinical image quality, cIQ). However, digital pathology is a new modality, and already identifying the appropriate task is difficult...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28630885/bayesian-framework-inspired-no-reference-region-of-interest-quality-measure-for-brain-mri-images
#20
Michael Osadebey, Marius Pedersen, Douglas Arnold, Katrina Wendel-Mitoraj
We describe a postacquisition, attribute-based quality assessment method for brain magnetic resonance imaging (MRI) images. It is based on the application of Bayes theory to the relationship between entropy and image quality attributes. The entropy feature image of a slice is segmented into low- and high-entropy regions. For each entropy region, there are three separate observations of contrast, standard deviation, and sharpness quality attributes. A quality index for a quality attribute is the posterior probability of an entropy region given any corresponding region in a feature image where quality attribute is observed...
April 2017: Journal of Medical Imaging
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