A5031919834- Radiomics and Machine Learning in Medical Imaging
- Prostate Cancer Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Medical Image Segmentation Techniques
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Medical Imaging and Analysis
- Prostate Cancer Treatment and Research
- Scientific Computing and Data Management
- Artificial Intelligence in Healthcare and Education
- Advanced Neural Network Applications
- Urologic and reproductive health conditions
- Glioma Diagnosis and Treatment
- Computational Geometry and Mesh Generation
- Research Data Management Practices
- 3D Shape Modeling and Analysis
- Distributed and Parallel Computing Systems
- Computer Graphics and Visualization Techniques
- Cell Image Analysis Techniques
- Lung Cancer Diagnosis and Treatment
- Parallel Computing and Optimization Techniques
- Sarcoma Diagnosis and Treatment
- Advanced Neuroimaging Techniques and Applications
Brigham and Women's Hospital
2016-2025
Harvard University
2016-2025
Johns Hopkins University
2020-2025
Dana-Farber Cancer Institute
2017-2025
Dana-Farber Brigham Cancer Center
2017-2025
National Cancer Institute
2023-2025
University College London
2025
Université Claude Bernard Lyon 1
2025
Radboud University Medical Center
2025
Mount Sinai Hospital
2025
Radiomics aims to quantify phenotypic characteristics on medical imaging through the use of automated algorithms. Radiomic artificial intelligence (AI) technology, either based engineered hard-coded algorithms or deep learning methods, can be used develop noninvasive imaging-based biomarkers. However, lack standardized algorithm definitions and image processing severely hampers reproducibility comparability results. To address this issue, we developed PyRadiomics, a flexible open-source...
The image biomarker standardisation initiative (IBSI) is an independent international collaboration which works towards standardising the extraction of biomarkers from acquired imaging for purpose high-throughput quantitative analysis (radiomics). Lack reproducibility and validation studies considered to be a major challenge field. Part this lies in scantiness consensus-based guidelines definitions process translating into biomarkers. IBSI therefore seeks provide nomenclature definitions,...
Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor treatment decisions. Typically, the tumor volume computed on slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer – free platform for biomedical research provides an alternative to this manual segmentation process, which significantly faster and requires less user interaction. In study, 4 physicians segmented GBMs 10 patients, once competitive region-growing based GrowCut module of...
Even though radiomics can hold great potential for supporting clinical decision-making, its current use is mostly limited to academic research, without applications in routine practice. The workflow of complex due several methodological steps and nuances, which often leads inadequate reporting evaluation, poor reproducibility. Available guidelines checklists artificial intelligence predictive modeling include relevant good practices, but they are not tailored radiomic research. There a clear...
In this study we assessed the repeatability of radiomics features on small prostate tumors using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI). The premise is that quantitative image-based can serve as biomarkers for detecting and characterizing disease. For such to be useful, a basic requirement, meaning its value must remain stable between two scans, if conditions stable. We investigated under various preprocessing extraction configurations including image normalization...
Abstract Purpose To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research of radiomics studies. Methods We conducted an online modified Delphi study with group international experts. It was performed in three consecutive stages: Stage#1, item preparation; Stage#2, panel discussion among EuSoMII Auditing Group members identify the items be voted; Stage#3, four rounds exercise by panelists determine eligible for METRICS their weights. The...
Pharmacokinetic analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) time-course data allows estimation quantitative parameters such as Ktrans (rate constant for plasma/interstitium contrast agent transfer), ve (extravascular extracellular volume fraction), and vp (plasma fraction). A plethora factors in DCE-MRI acquisition can affect accuracy precision these and, consequently, the utility assessing therapy response. In this multicenter challenge, acquired at one center...
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 multicenter study evaluated the effect of variations in arterial input function (AIF) determination on pharmacokinetic (PK) analysis dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data using shutter-speed model (SSM). Data acquired from eleven prostate cancer patients were shared among nine centers. Each center used a site-specific method to measure individual AIF each set and submitted results managing center. These AIFs, their reference tissue-adjusted variants,...
Abstract Since 2014, the NCI has launched a series of data commons as part Cancer Research Data Commons (CRDC) ecosystem housing genomic, proteomic, imaging, and clinical to support cancer research promote sharing NCI-funded studies. This review describes each (Genomic Commons, Proteomic Integrated Canine Service, Imaging Clinical Translational Commons), including their unique shared features, accomplishments, challenges. Also discussed is how CRDC implement Findable, Accessible,...
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...
Purpose To determine the detection rate, clinical relevance, Gleason grade, and location of prostate cancer ( PCa ) diagnosed with safety an in-bore transperineal 3-T magnetic resonance (MR) imaging–guided biopsy in a clinically heterogeneous patient population. Materials Methods This prospective retrospectively analyzed study was HIPAA compliant institutional review board approved, informed consent obtained. Eighty-seven men (mean age, 66.2 years ± 6.9) underwent multiparametric endorectal...
Prostate cancer (PCa) remains a leading cause of mortality among American men. Multi-parametric magnetic resonance imaging (mpMRI) is widely used to assist with detection PCa and characterization its aggressiveness. Computer-aided diagnosis (CADx) in MRI can be as clinical decision support system aid radiologists interpretation reporting mpMRI. We report on the development convolution neural network (CNN) model CADx based appearance prostate tissue mpMRI, conducted part SPIE-AAPM-NCI...
Pharmacokinetic analysis of dynamic contrast-enhanced (DCE) MRI data allows estimation quantitative imaging biomarkers such as Ktrans (rate constant for plasma/interstitium contrast reagent (CR) transfer) and ve (extravascular extracellular volume fraction). However, the use DCE-MRI in clinical practice is limited with uncertainty arterial input function (AIF) determination being one primary reasons. In this multicenter study to assess effects AIF variations on pharmacokinetic parameter...
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....
Purpose To demonstrate the utility of a robotic needle-guidance template device as compared to manual for in-bore 3T transperineal magnetic resonance imaging (MRI)-guided prostate biopsy. Materials and Methods This two-arm mixed retrospective-prospective study included 99 cases targeted biopsies. The biopsy needles were aimed at suspicious foci noted on multiparametric MRI using (historical control) with template. following data obtained: accuracy average closest needle placement focus,...
The aim of this study was to evaluate the repeatability a region interest (ROI) volume and mean apparent diffusion coefficient (ADC) in standard-of-care 3 T multiparametric magnetic resonance imaging (mpMRI) prostate obtained with use endorectal coil.This prospective Health Insurance Portability Accountability Act compliant, institutional review board approval written informed consent. Men confirmed or suspected treatment-naive cancer scheduled for mpMRI were offered repeat within 2 weeks....