Browsing by Author "Clark, Darin P"
Now showing items 1-10 of 10
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A neural network-based method for spectral distortion correction in photon counting x-ray CT.
Touch, Mengheng; Clark, Darin P; Barber, William; Badea, Cristian T (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 ... -
Deep learning based spectral extrapolation for dual-source, dual-energy x-ray computed tomography.
Clark, Darin P; Schwartz, Fides R; Marin, Daniele; Ramirez-Giraldo, Juan C; Badea, Cristian T (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
Holbrook, Matthew D; Clark, Darin P; Patel, Rutulkumar; Qi, Yi; Bassil, Alex M; Mowery, Yvonne M; Badea, Cristian T<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.
Ashton, Jeffrey R; Clark, Darin P; Moding, Everett J; Ghaghada, Ketan; Kirsch, David G; West, Jennifer L; Badea, Cristian T (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.
Schwartz, Fides R; Clark, Darin P; Ding, Yuqin; Ramirez-Giraldo, Juan Carlos; Badea, Cristian T; Marin, Daniele (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 ... -
Hybrid spectral CT reconstruction.
Clark, Darin P; Badea, Cristian T (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, ... -
Photon Counting CT and Radiomic Analysis Enables Differentiation of Tumors Based on Lymphocyte Burden
Allphin, Alex J; Mowery, Yvonne M; Lafata, Kyle J; Clark, Darin P; Bassil, Alex M; Castillo, Rico; Odhiambo, Diana; ... (10 authors)<jats:p>The purpose of this study was to investigate if radiomic analysis based on spectral micro-CT with nanoparticle contrast-enhancement can differentiate tumors based on lymphocyte burden. High mutational load transplant ... -
Photon-counting cine-cardiac CT in the mouse.
Clark, Darin P; Holbrook, Matthew; Lee, Chang-Lung; Badea, Cristian T (PloS one, 2019-01)The maturation of photon-counting detector (PCD) technology promises to enhance routine CT imaging applications with high-fidelity spectral information. In this paper, we demonstrate the power of this synergy and ... -
Spectral diffusion: an algorithm for robust material decomposition of spectral CT data.
Clark, Darin P; Badea, Cristian T (Phys Med Biol, 2014-11-07)Clinical successes with dual energy CT, aggressive development of energy discriminating x-ray detectors, and novel, target-specific, nanoparticle contrast agents promise to establish spectral CT as a powerful functional ... -
Spectrotemporal CT data acquisition and reconstruction at low dose.
Clark, Darin P; Lee, Chang-Lung; Kirsch, David G; Badea, Cristian T (Med Phys, 2015-11)PURPOSE: X-ray computed tomography (CT) is widely used, both clinically and preclinically, for fast, high-resolution anatomic imaging; however, compelling opportunities exist to expand its use in functional imaging applications. ...