Thomas O’Donnell

ORCID: 0000-0003-3553-1306
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About
Contact & Profiles
Research Areas
  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Radiation Dose and Imaging
  • Cardiac Imaging and Diagnostics
  • Medical Image Segmentation Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Cardiovascular Function and Risk Factors
  • Fatigue and fracture mechanics
  • Inflammatory Bowel Disease
  • Microscopic Colitis
  • Cerebrovascular and Carotid Artery Diseases
  • Aortic aneurysm repair treatments
  • Coronary Interventions and Diagnostics
  • 3D Shape Modeling and Analysis
  • AI in cancer detection
  • Optical Imaging and Spectroscopy Techniques
  • Medical Imaging and Analysis
  • Radiology practices and education
  • Lung Cancer Diagnosis and Treatment
  • Icing and De-icing Technologies
  • Cardiac, Anesthesia and Surgical Outcomes
  • Fire effects on concrete materials
  • Photoacoustic and Ultrasonic Imaging
  • Image and Object Detection Techniques

Siemens Healthcare (United States)
2016-2025

Siemens Healthcare (Germany)
2013-2020

Siemens (United States)
2001-2017

Siemens (Germany)
1997-2014

Oregon Health & Science University
2014

National Institutes of Health
2013

O'Donnell Consulting Engineers (United States)
1996-2009

Princeton University
2002-2009

Université de Montréal
2007

Columbia University
1992-2002

Background Dual-energy CT enterography (DECTE) has been shown to be useful in characterizing Crohn disease activity compared with clinical markers of inflammation but, the knowledge authors, comparison not made histopathologic specimens. Purpose To compare mucosal iodine density obtained at DECTE from disease–affected bowel specimens surgically resected ileocolectomy segments or terminal ileum colonoscopic biopsies same patients. Materials and Methods This was a retrospective study. Bowel...

10.1148/radiol.2021204405 article EN Radiology 2021-08-03

To delineate image data curation needs and describe a locally designed graphical user interface (GUI) to aid radiologists in annotation for artificial intelligence (AI) applications medical imaging.GUI components support analysis toolboxes, picture archiving communication system integration, third-party applications, processing of scripting languages, integration deep learning libraries. For clinical AI GUI included two-dimensional segmentation classification; three-dimensional...

10.1148/ryai.2019180095 article EN Radiology Artificial Intelligence 2019-11-01

Abstract Purpose To characterize the extent and distribution of left ventricular myocardial scar in delayed enhancement magnetic resonance imaging (MRI). Materials Methods Delayed images from 18 patients were categorized into three groups based on appearance: discrete infarction ( N = 10), diffuse fibrosis 4), circumferential endocardial scarring 4). Images segmented manually by two observers (twice one observer) to identify nonviable myocardium. Scar was characterized following morphologic...

10.1002/jmri.10391 article EN Journal of Magnetic Resonance Imaging 2003-09-19

The aim of this study was to compare portal venous phase photon-counting CT (PCCT) using 20 cc less than weight-based contrast dosing with energy-integrating detector (EID-CT) by quantitative and qualitative analysis.

10.1097/rct.0000000000001617 article EN Journal of Computer Assisted Tomography 2024-04-10

Objective The objective of this study was to assess if bowel wall iodine density obtained from dual-source, dual-energy computed tomography enterography (DECTE) could be a biomarker Crohn's disease activity. Methods Twenty-two patients with imaged DECTE February 2016 May 2018 were retrospectively identified by departmental report search. Iodine maps created commercial software (Syngovia). content normalized the aorta, and then manual region-of-interest cursors placed over visibly assessed...

10.1097/rct.0000000000000986 article EN Journal of Computer Assisted Tomography 2020-03-01

Consistency and duplicability in Computed Tomography (CT) output is essential to quantitative imaging for lung cancer detection monitoring. This study of CT-detected nodules investigated the reproducibility volume-, density-, texture-based features (outcome variables) over routine ranges radiation dose, reconstruction kernel, slice thickness. CT raw data 23 were reconstructed using 320 acquisition/reconstruction conditions (combinations 4 doses, 10 kernels, 8 thicknesses). Scans at 12.5%,...

10.1371/journal.pone.0240184 article EN cc-by PLoS ONE 2020-10-15

PURPOSE: To evaluate assignment of left ventricular (LV) myocardial segments to coronary arterial territories by using coregistered magnetic resonance (MR) imaging and multi–detector row computed tomography (CT) displays; assess the accuracy displays in determining distribution clinically important artery disease (CAD) regional effect CAD on LV myocardium patients with chronic ischemic heart (CIHD); determine utility optimizing surgical revascularization planning. MATERIALS AND METHODS: This...

10.1148/radiol.2372040236 article EN Radiology 2005-11-01

Abstract Purpose: To compare different state‐of‐the‐art T2‐weighted (T2w) imaging sequences combined with late gadolinium enhancement (LGE) for myocardial salvage area (MSA) assessment by cardiac magnetic resonance (CMR). T2w has been used to assess the at risk (AAR) in acute infarction (AMI) patients, but its clinical application is challenging due technical and physical limitations. Materials Methods: Thirty patients reperfused AMI underwent complete CMR 2–5 days after hospital admission....

10.1002/jmri.22813 article EN Journal of Magnetic Resonance Imaging 2011-09-29

Abstract Quantitative radiomic and iodine imaging features have been explored for diagnosis characterization of tumors. In this work, we invistigate combined whole-lesion analysis the differentiation pulmonary tumors on contrast-enhanced dual-energy CT (DECT) chest images. 100 biopsy-proven solid lung lesions DECT exams within 3 months histopathologic sampling were identified. Lesions volumetrically segmented using open-source software. Lesion segmentations density volumes loaded into a...

10.1038/s41598-022-15351-y article EN cc-by Scientific Reports 2022-07-12

A kinematic theory of reflection high energy electron diffraction (RHEED) is presented for textured polycrystalline thin films. RHEED patterns are calculated arbitrary texture situations and any general crystallographic orientation that may be encountered in thin-film growth. It shown the pattern can used as a fast convenient tool situ characterization. The approach also permits quantitative extraction angular dispersion parameters which useful optimizing growth conditions.

10.1063/1.369519 article EN Journal of Applied Physics 1999-02-15
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