Attenuation Correction in PET and SPECT with and Without Transmission Imaging
Presentations
MO-J-201-0 (Monday, 7/11/2022) 4:30 PM - 6:00 PM [Eastern Time (GMT-4)]
Room 201
The gold standard for attenuation correction in PET and SPECT is using transmission imaging with a source that has the same photon energy of a PET or SPECT radiotracer. With the advent of SPECT/CT and PET/CT, most systems rely on CT as transmission imaging for attenuation correction. Although CT-based attenuation correction (CTAC) also suffers some inaccuracies of providing accurate attenuation information because of x-ray energy being polychromatic, CTAC is the de facto standard method in modern PET/CT and SPECT/CT systems. More recently, there have been several important technical advances for which CTAC may no longer be a standard method. For example, MR-based or MR-aided attenuation correction must be performed for PET/MRI. Another example is cardiac SPECT for which the industry focuses on standalone dedicated SPECT systems without a transmission source or CT. In addition, emission tomography technologies are evolving to be extremely sensitive. For example, recent efforts of extended field-of-view PET scanners such as EXPLORER PET encourage researchers to think of an attenuation correction method that does not rely on transmission imaging at all. There are promises of using advanced image reconstruction algorithms such as maximum likelihood reconstruction of attenuation and activity, or using deep convolutional neural networks for attenuation correction. In this session, speakers will present the current state-of-the-art technologies for attenuation correction in PET and SPECT with emphasis on historical evolution of attenuation correction methods, effects of motion, and transmission-less techniques.
Use of transmission imaging and CT for SPECT and PET attenuation correction (Michael King, PhD)
Mitigation of misregistration and tumor motion in PET/CT with data-driven gating of both PET and CT (Tinsu Pan, PhD)
CT-less attenuation correction in PET/MRI, brain PET, and dedicated cardiac SPECT using MRI or deep learning algorithms (Jaewon Yang, PhD)
Artificial Intelligence for SPECT attenuation correction (Yong Du, PhD)
Learning Objectives:
1. Learn state-of-the-art techniques for attenuation correction in SPECT/CT, PET/CT, and PET/MRI
2. Learn state-of-the-art techniques for attenuation correction in dedicated cardiac or brain emission tomography
3. Learn deep learning applications in attenuation correction for emission tomography
Funding Support, Disclosures, and Conflict of Interest: Research grants from National Institutes of Health (YS, MK, YD) Royalty from Rapid, LLC (YD) Consultant/Scientific Advisor for PlenaryAI (YD) Consultant for Bracco Medical, Inc. (TP) Partial equipment support from GE Healthcare (MD Anderson, TP)
Handouts
Keywords
Not Applicable / None Entered.
Taxonomy
Not Applicable / None Entered.
Contact Email