A5013106687- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Digital Radiography and Breast Imaging
- Advanced MRI Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Scientific Computing and Data Management
- Cell Image Analysis Techniques
- MRI in cancer diagnosis
- Biomedical Text Mining and Ontologies
- Research Data Management Practices
- Digital Imaging in Medicine
- Colorectal Cancer Screening and Detection
- Advanced Data Compression Techniques
- Cutaneous Melanoma Detection and Management
- Radiation Dose and Imaging
- Radiology practices and education
- Artificial Intelligence in Healthcare and Education
- Medical Imaging and Analysis
- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Clinical practice guidelines implementation
- Orthopedic Infections and Treatments
- Single-cell and spatial transcriptomics
Brigham and Women's Hospital
2024
Massachusetts General Hospital
2023
Harvard University
2023
Core Laboratories (United States)
2012-2015
University of California, Los Angeles
2012
Information Technology Laboratory
2012
National Institute of Standards
2012
National Institute of Standards and Technology
2012
Columbia University Irving Medical Center
2012
Center for Devices and Radiological Health
2012
Digital Imaging and Communications in Medicine (DICOM®) is the standard for representation, storage, communication of medical images related information. A DICOM file format protocol pathology have been defined; however, adoption by vendors field pending. Here, we implemented essential aspects assessed its capabilities limitations a multisite, multivendor healthcare network.We selected relevant attributes, developed program that extracts pixel data pixel-related metadata, integrated patient...
This article summarizes the consensus reached at Summit on Color in Medical Imaging held Food and Drug Administration (FDA) May 8-9, 2013, co-sponsored by FDA ICC (International Consortium). The purpose of meeting was to gather information how color is currently handled medical imaging systems identify areas where there a need for improvement, define objective requirements, facilitate development best practices. Participants were asked concern unmet needs. summary documents topics that...
Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such relies heavily on image post-processing tools automated quantitation. Their deployment in the context research necessitates interoperability with systems. Comparison established outcomes and evaluation tasks motivate integration imaging data, use standardized approaches to support annotation sharing analysis results semantics. We developed methodology these Positron...
Abstract The National Cancer Institute (NCI) Research Data Commons (CRDC) aims to establish a national cloud-based data science infrastructure. Imaging (IDC) is new component of CRDC supported by the Moonshot. goal IDC enable broad spectrum cancer researchers, with and without imaging expertise, easily access explore value deidentified support integrated analyses nonimaging data. We achieve this colocating versatile collections computing resources exploration, visualization, analysis tools....
Abstract The exchange of large and complex slide microscopy imaging data in biomedical research pathology practice is impeded by a lack standardization interoperability, which detrimental to the reproducibility scientific findings clinical integration technological innovations. We introduce Slim, an open-source, web-based viewer that implements internationally accepted Digital Imaging Communications Medicine (DICOM) standard achieve interoperability with multitude existing medical systems....
Proprietary compression schemes have a cost and risk associated with their support, end of life interoperability. Standards reduce this risk. The new JPEG-LS process (ISO/IEC 14495-1), the lossless mode proposed JPEG 2000 scheme CD15444-1), standard that may be incorporated into DICOM, are evaluated here. Three thousand, six hundred seventy-nine (3,679) single frame grayscale images from multiple anatomical regions, modalities vendors, were tested. For all combined performed equally well...
As the use of digital techniques in toxicologic pathology expands, challenges scalability and interoperability come to fore. Proprietary formats closed single-vendor platforms prevail but depend on availability maintenance multiformat conversion libraries. Expedient for small deployments, this is not sustainable at an industrial scale. Primarily known as a standard radiology, Digital Imaging Communications Medicine (DICOM) has been evolving support other specialties since its inception,...
The remarkable advances of artificial intelligence (AI) technology are revolutionizing established approaches to the acquisition, interpretation, and analysis biomedical imaging data. Development, validation, continuous refinement AI tools requires easy access large high-quality annotated datasets, which both representative diverse. National Cancer Institute (NCI) Imaging Data Commons (IDC) hosts diverse publicly available cancer image data collections. By harmonizing all based on industry...
Abstract Quantitative analysis of clinical image data is an active area research that holds promise for precision medicine, early assessment treatment response, and objective characterization the disease. Interoperability, sharing, ability to mine resulting are increasing importance, given explosive growth in number quantitative methods being proposed. The Digital Imaging Communications Medicine (DICOM) standard widely adopted metadata radiology. dcmqi (DICOM Imaging) a free, open source...
Abstract Public imaging datasets are critical for the development and evaluation of automated tools in cancer imaging. Unfortunately, many do not include annotations or image-derived features, complicating downstream analysis. Artificial intelligence-based annotation have been shown to achieve acceptable performance can be used automatically annotate large datasets. As part effort enrich public data available within NCI Imaging Data Commons (IDC), here we introduce AI-generated two...
The use of biomarkers derived from radiological images as surrogate end-points in therapeutic cancer clinical trials is well established. DICOM the ubiquitous standard for interchange both research. It also has capabilities exchange image-related information, including categorical and quantitative information images. Structured Reporting encoding trial results a manner reviewed.
Multiparametric Magnetic Resonance Imaging (mpMRI) is widely used for characterizing prostate cancer. Standard of care use mpMRI in clinic relies on visual interpretation the images by an expert. also increasingly as a quantitative imaging biomarker disease. Little known about repeatability such measurements, and no test-retest datasets have been available publicly to support investigation technical characteristics MRI-based quantification prostate. Here we present dataset consisting...
To determine the extent of variations in computing standardized uptake value (SUV) by body weight (SUV(BW)) among different software packages and to propose a Digital Imaging Communications Medicine (DICOM) reference test object ensure standardization SUV computation between medical image viewing workstations.Research ethics board approval was not necessary because this study only evaluated images phantom. A synthetic set positron emission tomographic (PET)/computed (CT) data, called digital...
The aim of this study was to determine if the addition pulsed Doppler imaging conventional sonography allows discrimination between true paraumbilical veins portal hypertension and apparent vein sometimes seen in ligamentum teres normal subjects. Conventional were performed 33 subjects 39 patients with due chronic liver disease. An vessel (i.e., hypoechoic channel) identified on sonograms 32 (97%) (diameter 0.6-1.9 mm) 35 (90%) 1.1-22 mm). In group, had a diameter greater than 3 mm only 20...
There is optimism that artificial intelligence (AI) will result in positive clinical outcomes, which driving research and investment the use of AI for skin disease. At present, disease embedded development not practiced widely dermatology. Clinical dermatology also undergoing a technological transformation terms adoption standards optimizes quality imaging. Digital Imaging Communications Medicine (DICOM) international standard medical DICOM continually evolving standard. considerable effort...