Image-derived input function obtained in a 3TMR-brainPET

Silva, Nuno da; Herzog, Hans; Weirich, Christoph; Tellmann, Lutz; Kops, Elena Rota; Hautzel, Hubertus; Almeida, Pedro

doi:10.1016/j.nima.2012.08.030

Cited by 12 publications

(7 citation statements)

References 8 publications

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“…However in PET studies of the brain, calculation of the IDIF is challenged by two factors: PVE [231,232] due to the small size of the blood pools, and subject motion [232,233]. Various approaches have been proposed to extract an accurate IDIF that can be classified into PET-only based methods [232,[234][235][236][237][238][239][240][241][242][243][244], stand-alone PET and MR-based methods [228,245,246], and fully-integrated PET/MR-based methods [247][248][249]. Combined PET/MR can potentially allow researchers to address the aforementioned challenges (PVE and subject motion) in an automatic way [228,248,249], in addition to bearing a logistic advantage.…”

Section: Kinetic Modeling and Image Derived Input Function (Idif)mentioning

confidence: 99%

Hybrid Imaging: Instrumentation and Data Processing

et al. 2018

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State-of-the-art patient management frequently requires the use of non-invasive imaging methods to assess the anatomy, function or molecular-biological conditions of patients or study subjects. Such imaging methods can be singular, providing either anatomical or molecular information, or they can be combined, thus, providing "anato-metabolic" information. Hybrid imaging denotes image acquisitions on systems that physically combine complementary imaging modalities for an improved diagnostic accuracy and confidence as well as for increased patient comfort. The physical combination of formerly independent imaging modalities was driven by leading innovators in the field of clinical research and benefited from technological advances that permitted the operation of PET and MR in close physical proximity, for example. This review covers milestones of the development of various hybrid imaging systems for use in clinical practice and small-animal research. Special attention is given to technological advances that helped the adoption of hybrid imaging, as well as to introducing methodological concepts that benefit from the availability of complementary anatomical and biological information, such as new types of image reconstruction and data correction schemes. The ultimate goal of hybrid imaging is to provide useful, complementary and quantitative information during patient work-up. Hybrid imaging also opens the door to multi-parametric assessment of diseases, which will help us better understand the causes of various diseases that currently contribute to a large fraction of healthcare costs.

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Section: Kinetic Modeling and Image Derived Input Function (Idif)mentioning

confidence: 99%

Hybrid Imaging: Instrumentation and Data Processing

et al. 2018

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“…Simultaneous PET/MR imaging allows for precise segmentation of arteries on the PET image. [15][16][17][18][19] While one study used venous blood sampling to model the residual partial volume effect 16 and another one used fixed assumptions in their model for healthy subjects, 17 all required a priori knowledge of the PSF for the PET detector, which varies across the field of view. Also, these methods are prone to errors due to motion since they rely on precise registration between PET and MR. One advantage of the current technique is that separate methods are used to assess the total number of counts from the arteries and the total volume of the arteries separately, thus minimizing the effects of misregistration between modalities.…”

Section: Discussionmentioning

confidence: 99%

Image-derived input function estimation on a TOF-enabled PET/MR for cerebral blood flow mapping

Khalighi¹,

Deller

Fan

et al. 2017

J Cereb Blood Flow Metab

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O-HO PET imaging is an accurate method to measure cerebral blood flow (CBF) but it requires an arterial input function (AIF). Historically, image-derived AIF estimation suffers from low temporal resolution, spill-in, and spill-over problems. Here, we optimized tracer dose on a time-of-flight PET/MR according to the acquisition-specific noise-equivalent count rate curve. An optimized dose of 850 MBq of O-HO was determined, which allowed sufficient counts to reconstruct a short time-frame PET angiogram (PETA) during the arterial phase. This PETA enabled the measurement of the extent of spill-over, while an MR angiogram was used to measure the true arterial volume for AIF estimation. A segment of the high cervical arteries outside the brain was chosen, where the measured spill-in effects were minimal. CBF studies were performed twice with separate [15O]-HO injections in 10 healthy subjects, yielding values of 88 ± 16, 44 ± 9, and 58 ± 11 mL/min/100 g for gray matter, white matter, and whole brain, with intra-subject CBF differences of 5.0 ± 4.0%, 4.1 ± 3.3%, and 4.5 ± 3.7%, respectively. A third CBF measurement after the administration of 1 g of acetazolamide showed 35 ± 23%, 29 ± 20%, and 33 ± 22% increase in gray matter, white matter, and whole brain, respectively. Based on these findings, the proposed noninvasive AIF method provides robust CBF measurement with O-HO PET.

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“…It will be necessary to reconsider approaches currently in use, such as the IDIF methods, and make them more robust by incorporating the power of new multimodality imaging techniques such as PET/MR, as will be further discussed [73].…”

Section: Input Function Estimationmentioning

confidence: 99%

Advanced kinetic modelling strategies: towards adoption in clinical PET imaging

Kotasidis

Tsoumpas

Rahmim

2014

Clin Transl Imaging

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Positron emission tomography (PET) is a highly quantitative imaging modality that can probe a number of functional and biological processes, depending on the radiolabelled tracer used. Static imaging, followed by analysis using semi-quantitative indices, such as the standardised uptake value, is used in the majority of clinical assessments in which PET has a role. However, considerably more information can be extracted from dynamic image acquisition protocols, followed by application of appropriate image reconstruction and tracer kinetic modelling techniques, but the latter approaches have mainly been restricted to drug development and clinical research applications due to their complexity in terms of both protocol design and parameter estimation methodology. To make dynamic imaging more feasible and valuable in routine clinical imaging, novel research outcomes are needed. Research areas include noninvasive input function extraction, protocol design for wholebody imaging application, and kinetic parameter estimation methods using spatiotemporal (4D) image reconstruction algorithms. Furthermore, with the advent of sequential and simultaneous PET/magnetic resonance (MR) data acquisition, strategies for obtaining synergistic benefits in kinetic modelling are emerging and potentially enhancing the role and clinical importance of PET/MR imaging. In this article, we review and discuss various advances in kinetic modelling both from a protocol design and a methodological development perspective. Moreover, we discuss future trends and potential outcomes, which could facilitate more routine use of tracer kinetic modelling techniques in clinical practice.

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Image-derived input function obtained in a 3TMR-brainPET

Cited by 12 publications

References 8 publications

Hybrid Imaging: Instrumentation and Data Processing

Hybrid Imaging: Instrumentation and Data Processing

Image-derived input function estimation on a TOF-enabled PET/MR for cerebral blood flow mapping

Advanced kinetic modelling strategies: towards adoption in clinical PET imaging

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