A5023208947- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Medical Image Segmentation Techniques
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- AI in cancer detection
- Advanced X-ray and CT Imaging
- Medical Imaging and Analysis
- Functional Brain Connectivity Studies
- Scientific Computing and Data Management
- Advanced Neural Network Applications
- Surgical Simulation and Training
- Lung Cancer Diagnosis and Treatment
- Research Data Management Practices
- Fetal and Pediatric Neurological Disorders
- Augmented Reality Applications
- Human Motion and Animation
- Cell Image Analysis Techniques
- Robotics and Sensor-Based Localization
- Anatomy and Medical Technology
- Advanced Radiotherapy Techniques
- Prostate Cancer Diagnosis and Treatment
- Soft Robotics and Applications
- Glioma Diagnosis and Treatment
Brigham and Women's Hospital
2010-2024
Harvard University
2008-2024
University of Lübeck
2024
Harvard University Press
2022
Novartis (Switzerland)
2022
University College London
2022
University of Szeged
2022
Novartis Institutes for BioMedical Research
2022
National Hospital for Neurology and Neurosurgery
2022
Max Planck Society
2010
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...
Abstract Background With increasing research on system integration for image‐guided therapy (IGT), there has been a strong demand standardized communication among devices and software to share data such as target positions, images device status. Method We propose new, open, simple extensible network protocol IGT, named OpenIGTLink, transfer transform, image status messages. conducted performance tests use‐case evaluations in five clinical engineering scenarios. Results The was able position...
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...
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 Large‐scale digitization projects such as #ScanAllFishes and oVert are generating high‐resolution microCT scans of vertebrates by the thousands. Data from these shared with community using aggregate 3D specimen repositories like MorphoSource through various open licenses. We anticipate an explosion quantitative research in organismal biology convergence available data methodologies to analyse them. Though available, road a series images analysis is fraught challenges for most...
Abstract In the present report, estimates of test–retest and between‐site reliability fMRI assessments were produced in context a multicenter study (FBIRN Phase 1, www.nbirn.net ). Five subjects scanned on 10 MRI scanners two occasions. The task was simple block design sensorimotor task. impulse response functions to stimulation derived using an FIR‐deconvolution analysis with FMRISTAT. Six functionally‐derived ROIs covering visual, auditory motor cortices, created from prior analysis, used....
Abstract Diffusion MRI (dMRI) is the only noninvasive method for mapping white matter connections in brain. We describe SlicerDMRI, a software suite that enables visualization and analysis of dMRI neuroscientific studies patient-specific anatomic assessment. SlicerDMRI has been successfully applied multiple human brain health disease, here, we especially focus on its cancer research applications. As an extension module 3D Slicer medical image computing platform, clinically relevant...
PURPOSE We present SlicerDMRI, an open-source software suite that enables research using diffusion magnetic resonance imaging (dMRI), the only modality can map white matter connections of living human brain. SlicerDMRI analysis and visualization dMRI data is aimed at needs clinical users. built upon deeply integrated with 3D Slicer, a National Institutes Health–supported platform for medical image informatics, processing, three-dimensional visualization. Integration Slicer provides many...
The segmentation of medical and dental images is a fundamental step in automated clinical decision support systems. It supports the entire workflow from diagnosis, therapy planning, intervention, follow-up. In this paper, we propose novel tool to accurately process full-face about 5 minutes that would otherwise require an average 7h manual work by experienced clinicians. This focuses on integration state-of-the-art UNEt TRansformers (UNETR) Medical Open Network for Artificial Intelligence...
Abstract The standard of care for brain tumors is maximal safe surgical resection. Neuronavigation augments the surgeon’s ability to achieve this but loses validity as surgery progresses due shift. Moreover, gliomas are often indistinguishable from surrounding healthy tissue. Intraoperative magnetic resonance imaging (iMRI) and ultrasound (iUS) help visualize tumor iUS faster easier incorporate into workflows offers a lower contrast between tumorous tissues than iMRI. With success...
The Adolescent Brain Cognitive Development (ABCD) Study® has collected data from over 10,000 children across 21 sites, providing insights into adolescent brain development. However, site-specific scanner variability made it challenging to use diffusion MRI (dMRI) this study. To address this, a dataset of harmonized and processed ABCD dMRI (from release 3) been created, comprising quality-controlled imaging 9,345 subjects, focusing exclusively on the baseline session, i.e., first time point...
In this paper we describe the evolution of a whole-hand interface to our virtual-environment graphical system. We present set abstractions that can be used implement device-independent interfaces for hand measurement devices. Some these correspond known logical device abstractions, while others take further advantage richness expression in human hand. context their use development virtual environments.
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 Zero-footprint Web architecture enables imaging applications to be deployed on premise or in the cloud without requiring installation of custom software user’s computer. Benefits include decreased costs and information technology support requirements, as well improved accessibility across sites. The Open Health Imaging Foundation (OHIF) Viewer is an extensible platform developed leverage these benefits address demand for open-source Web-based applications. can modified site-specific...
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....
Neuronavigation greatly improves the surgeons ability to approach, assess and operate on brain tumors, but tends lose its accuracy as surgery progresses substantial shift deformation occurs. Intraoperative MRI (iMRI) can partially address this problem is resource intensive workflow disruptive. ultrasound (iUS) provides real-time information that be used update neuronavigation provide regarding resection progress. We describe intraoperative use of 3D iUS in relation iMRI, discuss challenges...
In prostate cancer treatment, there is a move toward targeted interventions for biopsy and therapy, which has precipitated the need precise image-guided methods needle placement. This paper describes an integrated system planning performing percutaneous procedures with robotic assistance under MRI guidance. A graphical interface allows physician to specify set of desired trajectories, based on anatomical structures lesions observed in patient's registered pre-operative pre-procedural MR...