Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

Autor: Chamberlin JH; Division of Cardiothoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, Clinical Science Building, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC, 29425, USA., Abrol S; Division of Cardiothoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, Clinical Science Building, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC, 29425, USA., Munford J; Division of Cardiothoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, Clinical Science Building, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC, 29425, USA., O'Doherty J; Division of Cardiothoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, Clinical Science Building, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC, 29425, USA.; Siemens Medical Solutions, Malvern, PA, USA., Baruah D; Division of Cardiothoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, Clinical Science Building, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC, 29425, USA., Schoepf UJ; Division of Cardiothoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, Clinical Science Building, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC, 29425, USA., Burt JR; Division of Cardiothoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, Clinical Science Building, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC, 29425, USA.; Division of Cardiothoracic Radiology, Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA., Kabakus IM; Division of Cardiothoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, Clinical Science Building, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC, 29425, USA. kabakus@musc.edu.

Publikováno v: The international journal of cardiovascular imaging [Int J Cardiovasc Imaging] 2024 Dec 16. Date of Electronic Publication: 2024 Dec 16.

Clinical Pilot of a Deep Learning Elastic Registration Algorithm to Improve Misregistration Artifact and Image Quality on Routine Oncologic PET/CT.

Autor: Chamberlin JH; Department of Radiology, Medical University of South Carolina, Charleston, South Carolina, USA., Schaefferkoetter J; Siemens Medical Solutions USA, Inc., 810 Innovation Drive, Knoxville, Tennessee 37932, USA., Hamill J; Siemens Medical Solutions USA, Inc., 810 Innovation Drive, Knoxville, Tennessee 37932, USA., Kabakus IM; Department of Radiology, Medical University of South Carolina, Charleston, South Carolina, USA., Horn KP; Department of Radiology, Medical University of South Carolina, Charleston, South Carolina, USA., O'Doherty J; Department of Radiology, Medical University of South Carolina, Charleston, South Carolina, USA; Siemens Medical Solutions USA, Inc., 40 Liberty Blvd, Malvern, Pennsylvania 19355, USA., Elojeimy S; Department of Radiology, Medical University of South Carolina, Charleston, South Carolina, USA. Electronic address: elojeim@gmail.com.

Publikováno v: Academic radiology [Acad Radiol] 2024 Oct 26. Date of Electronic Publication: 2024 Oct 26.

Polyenergetic reconstruction mitigates streak artifacts by dual source imaging in chest photon counting detector computed tomography.

Autor: Maisuria D; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA., Chamberlin JH; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA., Baruah D; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA., Hinen S; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA., O'Doherty J; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA; Siemens Medical Solutions, Malvern, PA, USA., McGuire A; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA., Knight H; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA., Schoepf UJ; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA., Munden RF; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA., Kabakus IM; Division of Cardiovascular Imaging, Department of Radiology, Medical University of South Carolina, Charleston, SC, USA. Electronic address: kabakus@musc.edu.

Publikováno v: Clinical imaging [Clin Imaging] 2024 Sep; Vol. 113, pp. 110235. Date of Electronic Publication: 2024 Jul 20.

Cardiac MRI assessment of myocardial viability in chronic myocardial infarction: how should we do it?

Autor: Kabakus IM; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States., Chamberlin JH; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States., Miller EJ; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States.

Publikováno v: Frontiers in cardiovascular medicine [Front Cardiovasc Med] 2024 Mar 20; Vol. 11, pp. 1377230. Date of Electronic Publication: 2024 Mar 20 (Print Publication: 2024).

Enhancing diagnostic precision for acute chest syndrome in sickle cell disease: insights from dual-energy CT lung perfusion mapping.

Autor: Chamberlin JH; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., Ogbonna A; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., Abrol S; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., Maisuria D; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., Miller E; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., McGuire A; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., Knight H; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., O'Doherty J; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA.; Siemens Medical Solutions, Malvern, PA, USA., Baruah D; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., Schoepf UJ; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., Munden RF; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA., Kabakus IM; Department of Radiology and Radiologic Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, USA. kabakus@musc.edu.

Publikováno v: Emergency radiology [Emerg Radiol] 2024 Feb; Vol. 31 (1), pp. 73-82. Date of Electronic Publication: 2024 Jan 15.