The Clinical Role of Fusion Imaging Using PET, CT, and MR Imaging

Zaidi, Habib; Montandon, Marie‐Louise; Alavi, Abass

doi:10.1016/j.cpet.2009.03.002

Cited by 13 publications

(5 citation statements)

References 119 publications

(114 reference statements)

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“…Its popularity is increasing because it has minimal side effects and is associated with low recurrence rates. In addition, MR fusion imaging can help place an electrode more accurately into a tumor [ 22 ]. Meanwhile, when 3D US fusion is used with real-time US, operators can easily understand 3D information such as the geometry and location of electrodes and anatomical structures, which facilitates repositioning the electrodes if necessary [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study

Lee

Choi

et al. 2018

Ultrasonography

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PurposeThe purpose of this study was to evaluate the accuracy of an active contour model for estimating the posterior ablative margin in images obtained by the fusion of real-time ultrasonography (US) and 3-dimensional (3D) US or magnetic resonance (MR) images of an experimental tumor model for radiofrequency ablation.MethodsChickpeas (n=12) and bovine rump meat (n=12) were used as an experimental tumor model. Grayscale 3D US and T1-weighted MR images were pre-acquired for use as reference datasets. US and MR/3D US fusion was performed for one group (n=4), and US and 3D US fusion only (n=8) was performed for the other group. Half of the models in each group were completely ablated, while the other half were incompletely ablated. Hyperechoic ablation areas were extracted using an active contour model from real-time US images, and the posterior margin of the ablation zone was estimated from the anterior margin. After the experiments, the ablated pieces of bovine rump meat were cut along the electrode path and the cut planes were photographed. The US images with the estimated posterior margin were compared with the photographs and post-ablation MR images. The extracted contours of the ablation zones from 12 US fusion videos and post-ablation MR images were also matched.ResultsIn the four models fused under real-time US with MR/3D US, compression from the transducer and the insertion of an electrode resulted in misregistration between the real-time US and MR images, making the estimation of the ablation zones less accurate than was achieved through fusion between real-time US and 3D US. Eight of the 12 post-ablation 3D US images were graded as good when compared with the sectioned specimens, and 10 of the 12 were graded as good in a comparison with nicotinamide adenine dinucleotide staining and histopathologic results.ConclusionEstimating the posterior ablative margin using an active contour model is a feasible way of predicting the ablation area, and US/3D US fusion was more accurate than US/MR fusion.

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Section: Discussionmentioning

confidence: 99%

Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study

Lee

Choi

et al. 2018

Ultrasonography

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“…Throughout the late 1990s and early 2000s, research focused on refining the fusion algorithms that seamlessly integrated PET and CT images. This optimization aimed to enhance the accuracy of target volume delineation and treatment planning (Haribabu, Guruviah, & Yogarajah, 2023;Musafargani et al, 2018;Shan, Alessio, & Kinahan, 2010;Zaidi, Montandon, & Alavi, 2008).…”

Section: Advancements In Fusion Algorithmsmentioning

confidence: 99%

“…Researchers like Habib Zaidi, an expert in medical imaging, are exploring artificial intelligence (AI) applications to enhance image analysis and interpretation in PET/CT (Arabi & Zaidi, 2021;Zaidi et al, 2008). AI-driven algorithms hold the potential to further streamline and automate the treatment planning workflow, contributing to increased efficiency and accuracy (Matsubara, Ibaraki, Nemoto, Watabe, & Kimura, 2022).…”

Section: Current State Of Researchmentioning

confidence: 99%

Transformative Precision: Investigative Summary of PET/CT-Guided Radiation Therapy Simulation in Comprehensive Cancer Management

Kerna,

Carsrud,

Ngwu

et al. 2024

ejtas

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Positron Emission Tomography/Computed Tomography (PET/CT)-guided radiation therapy simulation has transformed cancer treatment, ushering in enhanced precision and individualization. This discussion delves into clinical indications, applications, procedures, and limitations, providing a comprehensive overview across cancer types. Clinical indications underscore PET/CT's role in accurate staging, target volume delineation, treatment response assessment, and post-treatment recurrence detection. Accurate staging is crucial for tailored treatment plans, while target volume delineation benefits from PET's identification of metabolic patterns. Ongoing treatment response assessment enables dynamic adjustments, and post-treatment, PET/CT aids in detecting recurrent disease. Applications highlight PET/CT's treatment planning optimization by combining anatomical and functional information. Fusion of PET and CT images customizes radiation plans, identifying active regions for targeted delivery while sparing healthy tissues. This fusion facilitates tailored strategies, minimizing radiation exposure and enabling dynamic adaptations. Procedural aspects detail imaging acquisition, image fusion, target delineation, treatment planning, and ongoing monitoring. Starting with radiotracer administration, typically fluorodeoxyglucose (FDG), PET/CT captures functional and anatomical data. Image fusion aids in target delineation and optimizing plans. Ongoing monitoring allows real-time adjustments. Specific clinical applications across cancers demonstrate PET/CT's versatility. In head and neck cancers, it ensures precise delineation while avoiding critical structures. In lung cancer, it improves tumor extent identification. Similar advantages apply to lymphomas, sarcomas, brain tumors, metastatic disease, and esophageal, gastrointestinal, breast, prostate, gynecological, and pediatric cancers. Limitations include spatial resolution challenges, false positives, cumulative radiation exposure, lesion size, histology, and standardization issues. Ongoing research targets spatial resolution enhancement, radiomics and AI integration, novel tracers, hybrid imaging, patient-specific dosimetry, clinical trials, multimodal workflows, cost-effectiveness, accessibility, and education. PET/CT-guided radiation therapy simulation is transformative. Ongoing advancements promise a more precise and individualized approach, enhancing patient outcomes in cancer management.

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“…To overcome these, PET/computed tomography (CT) hybrid systems were introduced during the 90's (Townsend 2008, von Schulthess andSchlemmer 2009). These integrated multi-modal imaging approaches have considerably improved the patient throughput (Steinert and von Schulthess 2002), the precision of the PET signal localization and quantification (Zaidi et al 2008), but also led to the development of CT-based attenuation correction (Kinahan et al 1998). Nowadays, this correction approach is considered as the gold standard method over the lengthy PET transmission scan using external radioactive sources.…”

Section: Introductionmentioning

confidence: 99%

Characterization of a preclinical PET insert in a 7 tesla MRI scanner: beyond NEMA testing

et al. 2020

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This study evaluates the performance of the Bruker PET insert combined with a BioSpec 70/30 USR MRI scanner using the manufacturer acceptance protocol and the NEMA NU 4-2008 for small animal positron emission tomographs (PET). The PET insert is made of 3 rings of 8 monolithic LYSO crystals (50 x 50 x 10 mm 3 ) coupled to silicon photomultipliers (SiPM) arrays, conferring an axial and transaxial FOV of 15 cm and 8 cm. The MRI performance was evaluated with and without the insert for the following radiofrequency noise, magnetic field homogeneity and image quality. For the PET performance, we extended the NEMA protocol featuring system sensitivity, count rates, spatial resolution and image quality to homogeneity and accuracy for quantification using several MRI sequences (RARE, FLASH, EPI and UTE). The PET insert does not show any adverse effect on the MRI performances. The MR field homogeneity is well preserved (Diameter Spherical Volume, for 20 mm of 1.98 ± 4.78 without and -0.96 ± 5.16 Hz with the PET insert). The PET insert has no major effect on the radiofrequency field. The SNR measurements also do not show major differences. Image ghosting is well within the manufacturer specifications (<2.5%) and no RF noise is visible. Maximum sensitivity of the PET insert is 11.0% at the center of the FOV even with simultaneous acquisition of EPI and RARE. PET MLEM resolution is 0.87 mm (FWHM) at 5 mm off-center of the FOV and 0.97 mm at 25 mm radial offset. The peaks for true/noise equivalent count rates are 410/240 and 628/486 kcps for the rat and mouse phantoms, and are reached at 30.34/22.85 and 27.94/22.58 MBq. PET image quality is minimally altered by the different MRI sequences. The Bruker PET insert shows no adverse effect on the MRI performance and demonstrated a high sensitivity, sub-millimeter resolution and good image quality even during simultaneous MRI acquisition.

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The Clinical Role of Fusion Imaging Using PET, CT, and MR Imaging

Cited by 13 publications

References 119 publications

Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study

Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study

Transformative Precision: Investigative Summary of PET/CT-Guided Radiation Therapy Simulation in Comprehensive Cancer Management

Characterization of a preclinical PET insert in a 7 tesla MRI scanner: beyond NEMA testing

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