Journal
IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES
Volume 6, Issue 7, Pages 778-787Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TRPMS.2021.3137990
Keywords
Breathing motion; radioembolization; single-photon emission computed tomography (SPECT); tomographic reconstruction
Funding
- SIRIC LYriCAN [INCa-INSERM-DGOS-12563]
- LABEX PRIMES [ANR-11-LABX-0063, ANR-11-IDEX-0007]
- POPEYE ERA PerMed 2019 Project [ANR-19-PERM-0007-04]
- NADIAM PackAmbition Rhone-Alpes Region Project
- Agence Nationale de la Recherche (ANR) [ANR-19-PERM-0007] Funding Source: Agence Nationale de la Recherche (ANR)
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The purpose of this work was to reconstruct 4-D respiration-gated SPECT images using a data-driven approach. The proposed method improves the estimation of the activity in the tumor without the need for extra hardware.
Respiratory motion leads to blur and artifacts in single-photon emission computed tomography (SPECT) images. This may be an issue in some treatments such as liver radioembolization. The purpose of this work was to reconstruct 4-D respiration-gated SPECT images using a data-driven approach. A respiratory signal was extracted from SPECT list-mode data using Laplacian eigenmaps and used for retrospective phase gating. The method was evaluated on various SPECT datasets: Monte Carlo simulation of a patient acquisition, several acquisitions of a dynamic phantom, and 20 acquisitions of patients treated with liver radioembolization. We observed an increase of the mean activity inside the tumor (A) and of the tumor-to-normal liver ratio (T/N) in the respiration-gated SPECT image compared to the 3-D image without motion correction. For the patient acquisitions, an average 3.3% (up to 11.9%) and 3.2% (up to 9.7%) increase was observed for A and T/N, respectively. For the simulation, the activity was within 2.6% of the reference without movement and around 3% for the three patterns of tumor motion simulated with the mechanical phantom. Overall, the proposed respiration-gated SPECT reconstruction improves the estimation of the activity in the tumor without the need for extra hardware.
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