journal
MENU ▼
Read by QxMD icon Read
search

Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology

journal
https://www.readbyqxmd.com/read/28097499/automating-perforator-flap-mra-and-cta-reporting
#1
Christopher J Lange, Nanda Deepa Thimmappa, Srikanth R Boddu, Silvina P Dutruel, Mengchao Pei, Zerwa Farooq, Ashkan Heshmatzadeh Behzadi, Yi Wang, Ramin Zabih, Martin R Prince
Surgical breast reconstruction after mastectomy requires precise perforator coordinates/dimensions, perforator course, and fat volume in a radiology report. Automatic perforator reporting software was implemented as an OsiriX Digital Imaging and Communications in Medicine (DICOM) viewer plugin. For perforator analysis, the user identifies a reference point (e.g., umbilicus) and marks each perforating artery/vein bundle with multiple region of interest (ROI) points along its course beginning at the muscle-fat interface...
January 17, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28097498/clinical-applications-of-a-ct-window-blending-algorithm-radio-relative-attenuation-dependent-image-overlay
#2
Jacob C Mandell, Bharti Khurana, Les R Folio, Hyewon Hyun, Stacy E Smith, Ruth M Dunne, Katherine P Andriole
A methodology is described using Adobe Photoshop and Adobe Extendscript to process DICOM images with a Relative Attenuation-Dependent Image Overlay (RADIO) algorithm to visualize the full dynamic range of CT in one view, without requiring a change in window and level settings. The potential clinical uses for such an algorithm are described in a pictorial overview, including applications in emergency radiology, oncologic imaging, and nuclear medicine and molecular imaging.
January 17, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28097497/gopro-hero-cameras-for-creation-of-a-three-dimensional-educational-neurointerventional-video
#3
Min S Park, Andrea Brock, Vance Mortimer, Philipp Taussky, William T Couldwell, Edward Quigley
Neurointerventional education relies on an apprenticeship model, with the trainee observing and participating in procedures with the guidance of a mentor. While educational videos are becoming prevalent in surgical cases, there is a dearth of comparable educational material for trainees in neurointerventional programs. We sought to create a high-quality, three-dimensional video of a routine diagnostic cerebral angiogram for use as an educational tool. A diagnostic cerebral angiogram was recorded using two GoPro HERO 3+ cameras with the Dual HERO System to capture the proceduralist's hands during the case...
January 17, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28091834/using-twitter-to-assess-the-public-response-to-the-united-states-preventive-services-task-force-guidelines-on-lung-cancer-screening-with-low-dose-chest-ct
#4
Siddharth Khasnavis, Andrew B Rosenkrantz, Vinay Prabhu
To use Twitter to assess the immediate public response to the United States Preventive Services Task Force (USPSTF) 2013 draft guidelines on lung cancer screening with low-dose chest CT (LDCT). The number of tweets including the phrases "lung cancer screening," "lung CT," "chest CT," "low dose computed tomography," "low dose CT," or "LDCT" was recorded for 6 days before and after guidelines release. A systematic sample of 172 tweets from the week following release was coded for user type, tweet opinion, linked article source, and article opinion...
January 13, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28083829/inpatient-complexity-in-radiology-a-practical-application-of-the-case-mix-index-metric
#5
Thusitha Mabotuwana, Christopher S Hall, Sebastian Flacke, Shiby Thomas, Christoph Wald
With ongoing healthcare payment reforms in the USA, radiology is moving from its current state of a revenue generating department to a new reality of a cost-center. Under bundled payment methods, radiology does not get reimbursed for each and every inpatient procedure, but rather, the hospital gets reimbursed for the entire hospital stay under an applicable diagnosis-related group code. The hospital case mix index (CMI) metric, as defined by the Centers for Medicare and Medicaid Services, has a significant impact on how much hospitals get reimbursed for an inpatient stay...
January 12, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28083828/educational-material-for-3d-visualization-of-spine-procedures-methods-for-creation-and-dissemination
#6
Justin Cramer, Edward Quigley, Troy Hutchins, Lubdha Shah
Spine anatomy can be difficult to master and is essential for performing spine procedures. We sought to utilize the rapidly expanding field of 3D technology to create freely available, interactive educational materials for spine procedures. Our secondary goal was to convey lessons learned about 3D modeling and printing. This project involved two parallel processes: the creation of 3D-printed physical models and interactive digital models. We segmented illustrative CT studies of the lumbar and cervical spine to create 3D models and then printed them using a consumer 3D printer and a professional 3D printing service...
January 12, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28083827/detection-and-labeling-of-vertebrae-in-mr-images-using-deep-learning-with-clinical-annotations-as-training-data
#7
Daniel Forsberg, Erik Sjöblom, Jeffrey L Sunshine
The purpose of this study was to investigate the potential of using clinically provided spine label annotations stored in a single institution image archive as training data for deep learning-based vertebral detection and labeling pipelines. Lumbar and cervical magnetic resonance imaging cases with annotated spine labels were identified and exported from an image archive. Two separate pipelines were configured and trained for lumbar and cervical cases respectively, using the same setup with convolutional neural networks for detection and parts-based graphical models to label the vertebrae...
January 12, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28083826/development-of-a-reference-image-collection-library-for-histopathology-image-processing-analysis-and-decision-support-systems-research
#8
Spiros Kostopoulos, Panagiota Ravazoula, Pantelis Asvestas, Ioannis Kalatzis, George Xenogiannopoulos, Dionisis Cavouras, Dimitris Glotsos
Histopathology image processing, analysis and computer-aided diagnosis have been shown as effective assisting tools towards reliable and intra-/inter-observer invariant decisions in traditional pathology. Especially for cancer patients, decisions need to be as accurate as possible in order to increase the probability of optimal treatment planning. In this study, we propose a new image collection library (HICL-Histology Image Collection Library) comprising 3831 histological images of three different diseases, for fostering research in histopathology image processing, analysis and computer-aided diagnosis...
January 12, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28074302/enable-exportable-notation-and-bookmark-list-engine-an-interface-to-manage-tumor-measurement-data-from-pacs-to-cancer-databases
#9
Nikhil Goyal, Andrea B Apolo, Eliana D Berman, Mohammad Hadi Bagheri, Jason E Levine, John W Glod, Rosandra N Kaplan, Laura B Machado, Les R Folio
Oncologists evaluate therapeutic response in cancer trials based on tumor quantification following selected "target" lesions over time. At our cancer center, a majority of oncologists use Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 quantifying tumor progression based on lesion measurements on imaging. Currently, our oncologists handwrite tumor measurements, followed by multiple manual data transfers; however, our Picture Archiving Communication System (PACS) (Carestream Health, Rochester, NY) has the ability to export tumor measurements, making it possible to manage tumor metadata digitally...
January 10, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28070707/value-based-assessment-of-radiology-reporting-using-radiologist-referring-physician-two-way-feedback-system-a-design-thinking-based-approach
#10
Faiq Shaikh, Kenneth Hendrata, Brian Kolowitz, Omer Awan, Rasu Shrestha, Christopher Deible
In the era of value-based healthcare, many aspects of medical care are being measured and assessed to improve quality and reduce costs. Radiology adds enormously to health care costs and is under pressure to adopt a more efficient system that incorporates essential metrics to assess its value and impact on outcomes. Most current systems tie radiologists' incentives and evaluations to RVU-based productivity metrics and peer-review-based quality metrics. In a new potential model, a radiologist's performance will have to increasingly depend on a number of parameters that define "value," beginning with peer review metrics that include referrer satisfaction and feedback from radiologists to the referring physician that evaluates the potency and validity of clinical information provided for a given study...
January 9, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28050717/improving-patient-safety-avoiding-unread-imaging-exams-in-the-national-va-enterprise-electronic-health-record
#11
Sarah Bastawrous, Benjamin Carney
In the current digital and filmless age of radiology, rates of unread radiology exams remain low, however, may still exist in unique environments. Veterans Affairs (VA) health care systems may experience higher rates of unread exams due to coexistence of Veterans Health Information Systems and Technology Architecture (VistA) imaging and commercial picture archiving and communication systems (PACS). The purpose of this patient safety initiative was to identify any unread exams and causes leading to unread exams...
January 3, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28050716/region-of-interest-based-tamper-detection-and-lossless-recovery-watermarking-scheme-roi-dr-on-ultrasound-medical-images
#12
Hui Liang Khor, Siau-Chuin Liew, Jasni Mohd Zain
Tampering on medical image will lead to wrong diagnosis and treatment, which is life-threatening; therefore, digital watermarking on medical image was introduced to protect medical image from tampering. Medical images are divided into region of interest (ROI) and region of non-interest (RONI). ROI is an area that has a significant impact on diagnosis, whereas RONI has less or no significance in diagnosis. This paper has proposed ROI-based tamper detection and recovery watermarking scheme (ROI-DR) that embeds ROI bit information into RONI least significant bits, which will be extracted later for authentication and recovery process...
January 3, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28050715/workflow-lexicons-in-healthcare-validation-of-the-swim-lexicon
#13
Chris Meenan, Bradley Erickson, Nancy Knight, Jewel Fossett, Elizabeth Olsen, Prerna Mohod, Joseph Chen, Steve G Langer
For clinical departments seeking to successfully navigate the challenges of modern health reform, obtaining access to operational and clinical data to establish and sustain goals for improving quality is essential. More broadly, health delivery organizations are also seeking to understand performance across multiple facilities and often across multiple electronic medical record (EMR) systems. Interpreting operational data across multiple vendor systems can be challenging, as various manufacturers may describe different departmental workflow steps in different ways and sometimes even within a single vendor's installed customer base...
January 3, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28050714/characterization-of-change-and-significance-for-clinical-findings-in-radiology-reports-through-natural-language-processing
#14
Saeed Hassanpour, Graham Bay, Curtis P Langlotz
We built a natural language processing (NLP) method to automatically extract clinical findings in radiology reports and characterize their level of change and significance according to a radiology-specific information model. We utilized a combination of machine learning and rule-based approaches for this purpose. Our method is unique in capturing different features and levels of abstractions at surface, entity, and discourse levels in text analysis. This combination has enabled us to recognize the underlying semantics of radiology report narratives for this task...
January 3, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28025732/liver-ultrasound-image-segmentation-using-region-difference-filters
#15
Nishant Jain, Vinod Kumar
In this paper, region-difference filters for the segmentation of liver ultrasound (US) images are proposed. Region-difference filters evaluate maximum difference of the average of two regions of the window around the center pixel. Implementing the filters on the whole image gives region-difference image. This image is then converted into binary image and morphologically operated for segmenting the desired lesion from the ultrasound image. The proposed method is compared with the maximum a posteriori-Markov random field (MAP-MRF), Chan-Vese active contour method (CV-ACM), and active contour region-scalable fitting energy (RSFE) methods...
December 26, 2016: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28025731/development-and-evaluation-of-a-semi-automated-segmentation-tool-and-a-modified-ellipsoid-formula-for-volumetric-analysis-of-the-kidney-in-non-contrast-t2-weighted-mr-images
#16
Hannes Seuss, Rolf Janka, Marcus Prümmer, Alexander Cavallaro, Rebecca Hammon, Ragnar Theis, Martin Sandmair, Kerstin Amann, Tobias Bäuerle, Michael Uder, Matthias Hammon
Volumetric analysis of the kidney parenchyma provides additional information for the detection and monitoring of various renal diseases. Therefore the purposes of the study were to develop and evaluate a semi-automated segmentation tool and a modified ellipsoid formula for volumetric analysis of the kidney in non-contrast T2-weighted magnetic resonance (MR)-images. Three readers performed semi-automated segmentation of the total kidney volume (TKV) in axial, non-contrast-enhanced T2-weighted MR-images of 24 healthy volunteers (48 kidneys) twice...
December 26, 2016: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28025730/automated-facial-recognition-of-computed-tomography-derived-facial-images-patient-privacy-implications
#17
Connie L Parks, Keith L Monson
The recognizability of facial images extracted from publically available medical scans raises patient privacy concerns. This study examined how accurately facial images extracted from computed tomography (CT) scans are objectively matched with corresponding photographs of the scanned individuals. The test subjects were 128 adult Americans ranging in age from 18 to 60 years, representing both sexes and three self-identified population (ancestral descent) groups (African, European, and Hispanic). Using facial recognition software, the 2D images of the extracted facial models were compared for matches against five differently sized photo galleries...
December 26, 2016: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/27904975/rayplus-a-web-based-platform-for-medical-image-processing
#18
Rong Yuan, Ming Luo, Zhi Sun, Shuyue Shi, Peng Xiao, Qingguo Xie
Medical image can provide valuable information for preclinical research, clinical diagnosis, and treatment. As the widespread use of digital medical imaging, many researchers are currently developing medical image processing algorithms and systems in order to accommodate a better result to clinical community, including accurate clinical parameters or processed images from the original images. In this paper, we propose a web-based platform to present and process medical images. By using Internet and novel database technologies, authorized users can easily access to medical images and facilitate their workflows of processing with server-side powerful computing performance without any installation...
November 30, 2016: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/27896452/optimization-of-image-quality-and-dose-in-digital-mammography
#19
Agnes M F Fausto, M C Lopes, M C de Sousa, Tânia A C Furquim, Anderson W Mol, Fermin G Velasco
Nowadays, the optimization in digital mammography is one of the most important challenges in diagnostic radiology. The new digital technology has introduced additional elements to be considered in this scenario. A major goal of mammography is related to the detection of structures on the order of micrometers (μm) and the need to distinguish the different types of tissues, with very close density values. The diagnosis in mammography faces the difficulty that the breast tissues and pathological findings have very close linear attenuation coefficients within the energy range used in mammography...
November 28, 2016: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/27896451/transfer-learning-with-convolutional-neural-networks-for-classification-of-abdominal-ultrasound-images
#20
Phillip M Cheng, Harshawn S Malhi
The purpose of this study is to evaluate transfer learning with deep convolutional neural networks for the classification of abdominal ultrasound images. Grayscale images from 185 consecutive clinical abdominal ultrasound studies were categorized into 11 categories based on the text annotation specified by the technologist for the image. Cropped images were rescaled to 256 × 256 resolution and randomized, with 4094 images from 136 studies constituting the training set, and 1423 images from 49 studies constituting the test set...
November 28, 2016: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
journal
journal
30607
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"