Browsing by Author "Badea, Cristian T"
Now showing items 1-20 of 30
-
A comparative analysis of EGFR-targeting antibodies for gold nanoparticle CT imaging of lung cancer.
(PloS one, 2018-01)Computed tomography (CT) is the standard imaging test used for the screening and assessment of suspected lung cancer, but distinguishing malignant from benign nodules by CT is an ongoing challenge. Consequently, a large ... -
A Deep Learning Approach for Rapid and Generalizable Denoising of Photon-Counting Micro-CT Images.
(Tomography (Ann Arbor, Mich.), 2023-07)Photon-counting CT (PCCT) is powerful for spectral imaging and material decomposition but produces noisy weighted filtered backprojection (wFBP) reconstructions. Although iterative reconstruction effectively denoises these ... -
A LabVIEW Platform for Preclinical Imaging Using Digital Subtraction Angiography and Micro-CT.
(J Med Eng, 2013)CT and digital subtraction angiography (DSA) are ubiquitous in the clinic. Their preclinical equivalents are valuable imaging methods for studying disease models and treatment. We have developed a dual source/detector X-ray ... -
A neural network-based method for spectral distortion correction in photon counting x-ray CT.
(Physics in medicine and biology, 2016-08)Spectral CT using a photon counting x-ray detector (PCXD) shows great potential for measuring material composition based on energy dependent x-ray attenuation. Spectral CT is especially suited for imaging with K-edge contrast ... -
A Plasmonic Gold Nanostar Theranostic Probe for In Vivo Tumor Imaging and Photothermal Therapy.
(Theranostics, 2015)Nanomedicine has attracted increasing attention in recent years, because it offers great promise to provide personalized diagnostics and therapy with improved treatment efficacy and specificity. In this study, we developed ... -
An Online Repository for Pre-Clinical Imaging Protocols (PIPs).
(Tomography (Ann Arbor, Mich.), 2023-03)Providing method descriptions that are more detailed than currently available in typical peer reviewed journals has been identified as an actionable area for improvement. In the biochemical and cell biology space, this need ... -
Animal Models and Their Role in Imaging-Assisted Co-Clinical Trials
<jats:p>The availability of high-fidelity animal models for oncology research has grown enormously in recent years, enabling preclinical studies relevant to prevention, diagnosis, and treatment of cancer to be undertaken. ... -
Assessing cardiac injury in mice with dual energy-microCT, 4D-microCT, and microSPECT imaging after partial heart irradiation.
(Int J Radiat Oncol Biol Phys, 2014-03-01)PURPOSE: To develop a mouse model of cardiac injury after partial heart irradiation (PHI) and to test whether dual energy (DE)-microCT and 4-dimensional (4D)-microCT can be used to assess cardiac injury after PHI to complement ... -
Assessing the radiation response of lung cancer with different gene mutations using genetically engineered mice.
(Front Oncol, 2013)PURPOSE: Non-small cell lung cancers (NSCLC) are a heterogeneous group of carcinomas harboring a variety of different gene mutations. We have utilized two distinct genetically engineered mouse models of human NSCLC ... -
Automated multimodal segmentation of acute ischemic stroke lesions on clinical MR images.
(Magnetic resonance imaging, 2022-10)Magnetic resonance (MR) imaging (MRI) is commonly used to diagnose, assess and monitor stroke. Accurate and timely segmentation of stroke lesions provides the anatomico-structural information that can aid physicians in predicting ... -
Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging.
(Tomography (Ann Arbor, Mich.), 2023-05)Preclinical imaging is a critical component in translational research with significant complexities in workflow and site differences in deployment. Importantly, the National Cancer Institute's (NCI) precision medicine initiative ... -
Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine.
(Tomography (Ann Arbor, Mich.), 2020-09)The National Institutes of Health's (National Cancer Institute) precision medicine initiative emphasizes the biological and molecular bases for cancer prevention and treatment. Importantly, it addresses the need for consistency ... -
Deep learning based spectral extrapolation for dual-source, dual-energy x-ray computed tomography.
(Medical physics, 2020-09)<h4>Purpose</h4>Data completion is commonly employed in dual-source, dual-energy computed tomography (CT) when physical or hardware constraints limit the field of view (FoV) covered by one of two imaging chains. Practically, ... -
Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning
<jats:p>We are developing imaging methods for a co-clinical trial investigating synergy between immunotherapy and radiotherapy. We perform longitudinal micro-computed tomography (micro-CT) of mice to detect lung metastasis ... -
Dual-energy micro-CT functional imaging of primary lung cancer in mice using gold and iodine nanoparticle contrast agents: a validation study.
(PLoS One, 2014)PURPOSE: To provide additional functional information for tumor characterization, we investigated the use of dual-energy computed tomography for imaging murine lung tumors. Tumor blood volume and vascular permeability were ... -
Evaluating renal lesions using deep-learning based extension of dual-energy FoV in dual-source CT-A retrospective pilot study.
(European journal of radiology, 2021-06)<h4>Purpose</h4>Dual-source (DS) CT, dual-energy (DE) field of view (FoV) is limited to the size of the smaller detector array. The purpose was to establish a deep learning-based approach to DE extrapolation by estimating ... -
Evaluation of the impact of a novel denoising algorithm on image quality in dual-energy abdominal CT of obese patients.
(European radiology, 2023-04)<h4>Objectives</h4>Evaluate a novel algorithm for noise reduction in obese patients using dual-source dual-energy (DE) CT imaging.<h4>Methods</h4>Seventy-nine patients with contrast-enhanced abdominal imaging (54 women; ... -
Ex Vivo MR Histology and Cytometric Feature Mapping Connect Three-dimensional in Vivo MR Images to Two-dimensional Histopathologic Images of Murine Sarcomas.
(Radiology. Imaging cancer, 2021-05)Purpose To establish a platform for quantitative tissue-based interpretation of cytoarchitecture features from tumor MRI measurements. Materials and Methods In a pilot preclinical study, multicontrast in vivo MRI of murine ... -
Hybrid spectral CT reconstruction.
(PLoS One, 2017)Current photon counting x-ray detector (PCD) technology faces limitations associated with spectral fidelity and photon starvation. One strategy for addressing these limitations is to supplement PCD data with high-resolution, ... -
In vivo small animal micro-CT using nanoparticle contrast agents.
(Front Pharmacol, 2015)Computed tomography (CT) is one of the most valuable modalities for in vivo imaging because it is fast, high-resolution, cost-effective, and non-invasive. Moreover, CT is heavily used not only in the clinic (for both diagnostics ...
