Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:
- Physics and Basic Science
- Safety & Quality
Learning Objectives:
- Understand the basic principles and clinical applications of different IR types and other novel denoising techniques.
- Describe the correct approach to evaluating the efficacy of different denoising techniques.
- Explain the advantages and disadvantages of different denoising techniques.
This journal-based CME activity is estimated to take 1 hour to complete.
Start Date: 9/1/2021
End Date for CME Eligibility/Online Expiration Date: 8/31/2024
Faculty:
- Payam Mohammadinejad, MD
- Achille Mileto, MD
- Lifeng Yu, PhD
- Shuai Leng, PhD
- Luis S. Guimaraes, MD, PhD
- Andrew D. Missert, PhD
- Corey T. Jensen, MD
- Hao Gong, PhD
- Cynthia H. McCollough, PhD
- Joel G. Fletcher, MD
Disclosure Statements:
The ACCME requires that the RSNA, as an accredited provider of CME, disclose the relevant financial relationships of the planners, faculty, and any other individuals in a position to control content of this activity. If there is a relevant financial relationship that has been disclosed, please find it below:
- Stephan W. Anderson, MD: Research Grant, General Electric Company, Koninklijke Philips NV.
- Mai Elezaby, MD: Research Grant, Exact Sciences Corporation; Investigator, Exact Sciences Corporation.
- Mindy M. Horrow, MD: Spouse, Employee, Bristol-Myers Squibb Company.
- Gloria Hwang, MD: Spouse, Stockholder, Thrombx Medical Inc; Spouse, Consultant, Terumo Corporation, Johnson & Johnson, Incept LLC; Spouse, Research Grant, Stryker Corporation, Siemens AG, Route 92 Medical Inc.
- Marcia Javitt, MD: Spouse, Employee, NeuroRx.
- Ihab R. Kamel, MD, PhD: Research Grant, Siemens AG.
- Anne M. Kennedy, MD: Author with royalties, Reed Elsevier.
- Jeffrey S. Klein, MD: Editor with royalties, Wolters Kluwer nv.
- Seth J. Kligerman, MD: Speakers Bureau, Boehringer Ingelheim GmbH; Author, Reed Elsevier; Consultant, IBM Corporation.
- Jonathan B. Kruskal, MD, PhD: Author, Wolters Kluwer (Up-To-Date, Inc.).
- Jorge E. Lopera, MD: Shareholder, Tecnostent SA.
- Andrew D. Maidment, PhD: Research support, Hologic Inc, Barco nv, Analogic Corporation; Founder, Daimroc Imaging LLC; Scientific Advisory Board, Real Time Tomography; Spouse, Employee, Real Time Tomography, LLC; Spouse, Stockholder, Real Time Tomography, LLC.
- Edith M. Marom, MD: Speaker, Boehringer Ingelheim GmbH.
- Christine O. Menias, MD: Book Royalties, Reed Elsevier.
- Konstantin Nikolaou, MD: Advisory panel, Siemens AG, Bayer AG; Speakers Bureau, Siemens AG, Bayer AG; Research Grant, Siemens AG, Bayer AG.
- Margarita Revzin, MD: Co-author, Reed Elsevier.
- Timothy P. Szczykutowicz, PhD: Consultant, General Electric Company, Takeda Pharmaceutical Company Limited, AstoCT LLC, cybermed.ai, AiDoc; Equipment support, General Electric Company; License agreement, General Electric Company; Medical Advisory Board, medInt Holdings, LLC.
- Andrew T. Trout, MD: Author, Reed Elsevier, Wolters Kluwer; Research Grant, Canon Medical Systems Corporation, Siemens AG.
- Achala S. Vagal, MD: Research Grant, Johnson & Johnson.
- Kenneth Wang, MD, PhD: Co-founder, DexNote, LLC.
- Zhen J. Wang, MD: Stockholder, Nextrast, Inc.; Consultant, General Electric Company.
- A.M.: Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: board member for Nanox; grant from GE Healthcare. Other activities: disclosed no relevant relationships.
- L.Y.: Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: disclosed no relevant relationships. Other activities: patent licensed for a system and method for improved energy series of images using multienergy CT (U.S. patent 9754387 B2); patent issued for a system and method for denoising medical images adaptive to local noise (U.S. patent 9036771 B2); patent pending for a system and methods for multikernel synthesis and kernel conversion in medical imaging; patent pending for a deep learning–based medical image quality evaluation and virtual clinical trial.
- S.L.: Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: disclosed no relevant relationships. Other activities: patent licensed for a system and method for improved energy series of images using multienergy CT (U.S. patent 9754387 B2); patent pending for a system and method for high-fidelity CT; patent pending for a system and methods for multikernel synthesis and kernel conversion in medical imaging; patent pending for deep learning–based medical image quality evaluation and virtual clinical trial.
- C.T.J.: Activities related to the present article: grant from GE Healthcare. Activities not related to the present article: disclosed no relevant relationships. Other activities: disclosed no relevant relationships.
- C.H.M.: Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: grant from Siemens Healthineers. Other activities: patent licensed for a system and method for improved energy series of images using multienergy CT (U.S. patent 9754387 B2); patent issued for a system and method for denoising medical images adaptive to local noise (U.S. patent 9036771 B2); patent pending for a system and method for high-fidelity CT; patent pending for a system and methods for multikernel synthesis and kernel conversion in medical imaging; patent pending for a deep learning–based medical image quality evaluation and virtual clinical trial.
- J.G.F.: Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: grant from Siemens Healthineers. Other activities: patent licensed for a system and method for improved energy series of images using multienergy CT (U.S. patent 9754387 B2); patent issued for a system and method for denoising medical images adaptive to local noise (U.S. patent 9036771 B2); patent pending for a system and method for high-fidelity CT; patent pending for a system and methods for multikernel synthesis and kernel conversion in medical imaging; patent pending for a deep learning–based medical image quality evaluation and virtual clinical trial.
All other individuals in control of content have indicated that there are no relevant financial relationships with any commercial interests to be disclosed.
Accreditation and Designation Statements:
The Radiological Society of North America (RSNA) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
This journal-based CME activity can be applied towards the ABR MOC self-assessment requirement (SA-CME).
To earn CME credit, participants must correctly answer a minimum of 80% of the post-test questions and complete the course evaluation.
The RSNA designates this journal-based CME activity for a maximum of 1.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
This journal-based CME activity is an Accredited Self-Assessment Program (Section 3) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada, and approved by the Canadian Association of Radiologists for a maximum of 1 credit hour per activity (credits are automatically calculated in MAINPORT). Physicians should only claim credits commensurate with the extent of their participation in the activity. Accreditation services do not imply endorsement of opinions presented during the activity.
Price:
Non-member Rate: $35.00
Member Rate: $0.00
Refund / Exchange Policy:
RSNA will not issue any refunds or exchanges for online only versions of educational products or activities purchased online. Please review the entire product or activity description prior to purchase.
RSNA Disclaimer:
The opinions or views expressed in this activity are those of the presenters and do not necessarily reflect the opinions, recommendations or endorsement of the RSNA. Participants should critically appraise the information presented and are encouraged to consult appropriate resources for information surrounding any product or device mentioned. Information presented, as well as publications, technologies, products and/or services discussed, are intended to inform the learner about the knowledge, techniques, and experiences of RSNA faculty who are willing to share such information with colleagues. The RSNA disclaims any and all liability for damages to any individual user for all claims which may result from the use of said information, publications, technologies, products and/or services, and events.