Abstract
PET and MRI are two well-established medical imaging modalities that are used frequently as diagnostic tools in a wide range of clinical indications providing complementary information. MRI can provide anatomical information with very high spatial resolution, and functional measurements at organ and tissue level with high diagnostic sensitivity. On the other hand, PET images functional processes at cellular and sub-cellular level with very high diagnostic specificity and high tracer detection sensitivity (10−11–10−12 mol/l) but with an inferior to MRI spatial resolution. This complementary matching of capabilities renders both PET(/CT) and MRI necessary in several disease pathways, particularly in oncology and neurology. A significant workflow limitation, when both modalities are needed, is the physical and organisational separation of the two systems. Patients needing both PET and MR imaging are referred independently and often imaged after a significant amount of time. This renders the fusion of information from both examinations difficult or even impossible due to disease status changes or several other technical and organisational factors. It is, therefore, expected that where MRI is the preferred imaging modality versus CT, PET-MR should be more clinically useful than PET-CT and a combined single examination could provide significant benefits to both the patient and the hospital.
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Keywords
- Diffusion Tensor Image
- Scatter Correction
- Specific Absorption Rate
- Parallel Transmission
- High Diagnostic Sensitivity
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Introduction
PET and MRI are two well-established medical imaging modalities that are used frequently as diagnostic tools in a wide range of clinical indications providing complementary information [1]. MRI can provide anatomical information with very high spatial resolution, and functional measurements at organ and tissue level with high diagnostic sensitivity. On the other hand, PET images functional processes at cellular and sub-cellular level with very high diagnostic specificity and high tracer detection sensitivity (10−11–10−12 mol/l) [2] but with a spatial resolution inferior to MRI. This complementary matching of capabilities renders both PET(/CT) and MRI necessary in several disease pathways, particularly in oncology and neurology. A significant workflow limitation, when both modalities are needed, is the physical and organisational separation of the two systems [3]. Patients who need both PET and MR imaging are often referred for such scans independently and, often, they are scanned with a significant time difference. This renders the fusion of information from both examinations difficult or even impossible due to disease status changes or several other technical and organisational factors [4]. Hence, when MRI is the preferred imaging modality versus CT, PET/MR should be more clinically useful than PET/CT and a combined single examination could provide significant benefits to both the patient and the hospital.
Today, there are two different designs for combined PET/MR systems; positioning PET inside the MRI magnet or in tandem, similar to PET/CT [5]. Both philosophies attempt to balance clinical utility, user flexibility in developing clinically-relevant PET/MR-dedicated imaging protocols, potential sacrifices in relation to stand-alone state-of-the-art PET and MRI imaging capabilities and cost. Irrespectively, of the design and technical differences with the stand-alone systems, PET/MR, as a novel imaging option, requires significant innovation at various levels in order to surpass current concerns and scepticism. The latter are of clinical, organisational and technological nature. Questions about how it compares with PET/CT, under which clinical scenarios either of them should be used, patient throughput, ease of workflow, building and running costs, ownership of device and staff (between different departments), reliability of new the technology and image quality in comparison to stand-alone systems are common discussion points.
Operational Requirements
It is common in healthcare for radical new technologies to require a second innovation wave, in the area of its structure and organisation, in order to optimise their contribution in disease management and patient pathway [6]. An organisation wishing to adopt PET/MR, in particular, has to overcome its complicated logistics, often the single-modality trained technical personnel, the staffing requirement from two different departments and the excessive scanning time required to acquire both PET and MR scans, which raises significantly the cost of each scan. At this level, institutions are requested to innovate in order to successfully adopt this novel technology.
At infrastructure level, some degree of cross-departmental collaboration and in some cases even restructuring is necessary to bring the Nuclear Medicine (NM) and Radiology staff much closer. Dual-training of the technical personnel is essential in order to operate the scanner while another long-term consideration is the need to cross-train Radiologists and Nuclear Medicine physicians from both modalities [7]. However, such needs are not straightforward due several factors, amongst others the existing territorial and protective practices in many healthcare facilities and the variations in the legal frameworks for imaging technologists [8]. In many hospitals Radiology and NM departments are far from each other creating further complications in staff allocation and/or logistics of the new scanners. Therefore, a successful model needs to be devised for the placement of the scanner considering its heavy needs for MR, PET and Radiochemistry expert support while residing within a controlled area for radiation and high magnetic fields.
Innovation is also needed in defining new imaging procedures that consider the extra time and find workarounds. Depending on the patient population of the institution, the staff and the other medical imaging scanners, a different departmental (or cross-departmental) workflow may be necessary to optimise the use of all systems and personnel. A sound business case that demonstrates the added value of PET/MR in comparison to PET/CT, MRI or concurrent referrals to both modalities (i.e. the current clinical practice) [9] is also necessary to demonstrate a favourable cost/benefits balance, to these other alternatives [10, 11]. Competition is not just in the area of clinical use; procurement for PET/MR will also compete against PET/CT and MRI due to limitations in funding, space within hospitals, personnel and attracting research grants. Therefore, in order to succeed, the new modality must demonstrate better qualities than its rivals. From the system perspective, these qualities translate into superior diagnostic accuracy, a feasible workflow, adequate patient throughput and comfort, as well as imaging protocol flexibility that facilitates optimisation.
PET/MR Applications
It is still uncertain whether PET/MR will become a routine clinical imaging modality. The lack of solid evidence for its benefits on specific clinical indications, compared with PET/CT and MRI entails, at the time this book was written, the absence of any reimbursement framework for joint PET/MR scans. Therefore, the first and foremost need is the identification of those clinical indications that PET/MR excels over ‘conventional’ imaging in diagnostic accuracy, workflow or reduction of overall costs to an extend that referring physicians consider sending their patients for scans and healthcare regulatory authorities provide the appropriate reimbursement for such procedures. However, the experience with PET/CT shows that even when validated clinical applications are found, they will require further time to gain patient referrals and receive reimbursement [9].
Several editorials and review papers have been published, the last few years, discussing potential applications for PET/MR, based on current experience from PET(/CT) and MRI [1, 3, 4, 12–16]; while many groups use the stand-alone modalities in investigational studies and assess the benefits of combining multi-modal information in staging, therapy monitoring and disease follow-up. Recently, the first studies on clinical use have started to appear in scientific literature.
One of the potential applications that PET/MR could have an impact is on brain imaging. PET has several attractive features such as high sensitivity and specificity in detecting biochemical and molecular tracers, while its inherent poor spatial resolution can be improved by recent advances in image reconstruction that incorporate resolution recovery approaches [17, 18]. Even more importantly, however, fusing quantitative PET images with high-resolution MR anatomical images can enhance the information extracted from both modalities, while at the same time advanced MR techniques, such as diffusion weighted imaging (DWI), perfusion with MR contrast agents, functional activation (fMRI), MR spectroscopy (MRS) or Diffusion Tensor Imaging (DTI), may yield complementary to PET information [12]. In Table 3.1, a thorough list of the biological properties that can be assessed by MRI and PET is presented.
So far, very limited work has been published in brain imaging using integrated PET/MR systems. In Neuro-Oncology, two groups performed feasibility studies in patients with intracranial masses using different PET tracers (18F-FDG, 11C-methionine, 68Ga-DOTATOC) combined with anatomical-MR, DTI, arterial spin labelling (ASL) and/or proton-spectroscopy [19, 20]. A different study also found that DTI-MR/PET provided important information for the treatment planning of brain tumours in four patients [21]. Neuner et al. have also demonstrated the use of 18F-FET and 11C-Methionine in combination with anatomical MRI, DTI, MRS and fMRI in PET/MR [22]. Finally, several groups have also shown the benefits of combined PET and MR information using stand-alone systems. Some of such applications include glioma staging [15], therapy planning [23, 24] and differential diagnosis from inflammatory demyelination [25]; therapy response of glioblastomas [26] and meningiomas [27]; as well as in image-guided neurosurgery for brain tumours [28, 29]. Apart from neuro-oncology, PET/MR may be useful in the assessment of damage inflicted by stroke [30], or as shown recently in neurodegenerative diseases [31–34], as well as epilepsy [35–37]. Furthermore, there are literature reports of combined PET and MRI use for various research studies, amongst others, in schizophrenia [38, 39], addictions [40], autism [41], aphasia [42] and multiple sclerosis [43].
Today, all the commercial PET/MR tomographs are designed with whole-body imaging capabilities, as this is necessary in order to perform oncological and cardiac scans. Advanced cardiovascular imaging is expected to be another opportunity for PET/MR given the excellent attributes of cardiac MRI and PET’s absolute quantification [44]. Publications that demonstrate the successful combination of PET and MR imaging already exist in cardiomyopathy [45], evaluation of myocardial infarction [46] and its response to different therapy schemes [47, 48] and evaluation of carotid artery stenosis [49]. Therefore, although clinical evidence using integrated systems is still under way, PET/MR is expected to be a very useful modality for cardiovascular imaging [44].
Oncology is the main application of PET with highest volumes of scans globally and one of the areas with the biggest procedures growth for MRI. Moreover, the combination of these two modalities exhibit complementary advantages such as enhanced accuracy in the staging of primarily disease as well as in the assessment of local lymph node involvement and distant metastases [50]. Pilot studies with integrated systems have already shown the feasibility [51] of oncological PET/MR and potential clinical benefits in head and neck cancer [52], and lung cancer [53]; while its use was also showcased in single case studies for indications such as paediatric oncology [16], prostate [54, 55] and therapy follow up for malignancies of the liver [56]. Extensive discussions of the expected benefits of PET/MR in oncology can be found in literature [50, 57, 58].
Clinical Protocols and Workflow Considerations
An important concern for PET/MR scans is time. Both PET and MRI require long acquisition times for a comprehensive examination. Extended scan times have an impact on patient comfort (and increase of drop-out rates) and throughput, increasing the cost per scan. Therefore, some consideration on how to reduce acquisition time without losing important information is necessary for the various applications and the two system designs. Imaging acquisitions can be classified in two groups initially: single-organ imaging and imaging over several bed positions (e.g. whole- and total-body imaging). Each of the two categories may comprise scans for very different indications; however, patient set-up and imaging order can be similar.
Single-Organ Imaging
Single organ imaging is often performed within one (e.g. for brain) or more than one (e.g. for lungs) bed-positions, depending on the organ size and the scanner’s field-of-view (FOV), to study organ function (e.g. brain, heart, liver) or regional disease (e.g. tumour, carotid plaques) in detail. They often require dynamic, gated or longer PET and/or MR acquisitions. Most of the times, MRI requires the longest acquisition times, due to the several pulse sequences and further functional information that may be necessary for a comprehensive diagnosis. In scanners with simultaneous acquisition capabilities, the required acquisition time for diagnostic MR and the extra sequences required for MR-based PET attenuation correction (MRAC) will define the total acquisition time.
It is common for research brain PET imaging to require dynamic acquisitions for studying tracer kinetics. These are long scans in order to capture both early and late phases of the tracer uptake. In these cases simultaneous PET/MR acquisition is prefered, from the workflow perspective, as MR scans can be acquired at the same time. One example is given in Fig. 3.1 for an application in neuro-oncology [22].
In clinical practice, shorter, static scans are more common. The most predominant brain PET indications include assessment of dementia with FDG or Amyloid imaging, surgical planning for focal epilepsy with FDG and to a lesser extent Parkinson’s disease with 18F-DOPA. Neuro-oncology uses tracers for metabolic assessment, receptor imaging and hypoxia as, and in addition to the list in Table 3.1. Most of these scans are static and, although shorter than many dynamic acquisitions, are still longer than the individual bed-position duration in whole-body protocols, requiring still 15-20 min as a crude average. In these cases, diagnostic MR may require longer acquisitions, again due to several different contrasts that may be required. Two generic imaging protocols for such scans are illustrated in Fig. 3.2 for simultaneous and sequential acquisitions. In both cases, the MR scans can start before or after PET depending on the workflow of the department and, in some occasions, MR scans may start during the radiotracer’s uptake time [59].
As indicated earlier, another promising area for PET/MR use is in cardiovascular imaging [44]. Imaging of myocardial viability, e.g. after acute myocardial infarction, or identifying vulnerable plaques in the carotid arteries also require single-bed acquisitions. Myocardial imaging often requires motion compensation for heart movement, which is performed through cardiac gating. Such gating in PET/MR can be done either using image-derived information from MRI, to gate both PET and MRI data in a simultaneous acquisition system, or via external triggering of both modalities in sequential acquisition systems. Figure 3.3 illustrates cardiac-gated exams acquired using the two different gating approaches.
Cardiac imaging protocols may have similar forms to those in Fig. 3.2. Depending on the amount and type of MR sequences needed, as well as the scanner’s technology, but they are often faster than brain scans. An example of a comprehensive cardiac gated protocol and acquisition times, using a sequential system, is presented in Table 3.2 [59].
Whole-Body Imaging
For whole-body (i.e. eyes-to-thighs) or total-body (i.e. head-to-toes) imaging, several bed positions are acquired and merged. Modern PET systems require between 1 and 3 min per bed position, and the amount of bed positions needed is defined by the length of the required scan and the axial size of PET FOV. The latter in the current PET/MR scanners vary between 18 and 25.8 cm with overlap up to 50 % [60, 61]. On the other hand, diagnostic MR protocols may easily surpass 60 min of total acquisition time. The type of acquisition for both subsystems can vary significantly and, on some occasions, the protocols may need modifications in light of new data arising from one of the two modalities. For example, in a staging examination, both local disease and possible distant metastases, need to be assessed. In that case MRAC/localisation scan, followed by the FDG-PET acquisition is performed first and findings may indicate the distant regions with suspected metastasis to be interrogated later on by the localised diagnostic MR contrasts (e.g. in breast cancer staging).
On a PET/MR tomograph with simultaneous acquisition capabilities, PET acquisitions run for 2–6 min per bed position [62, 63] and, during this time, MR also acquires data for MRAC (19 s/bed) as well as other relevant for each examination, sequences. Often, specific body areas require longer MR acquisitions, e.g. for the complete assessment of primary tumours. Depending on the clinical indication, PET tracer and processes of the department, these extra MR sequences can be performed before or after the simultaneous PET/MR acquisition. When the additional MR scans are performed prior to PET/MR acquisition, and for PET agents such as FDG, the patient may be scanned during the uptake period after the tracer injection. For FDG, however, consideration should be given in minimising potential FDG uptake in muscles [64]. Alternatively, when the additional MR scans are performed after simultaneous PET/MR, an additional PET acquisition can be acquired which can provide dynamic data [62] or a late acquisition which for agents such as FDG it is shown to provide more or different information than early scans [65–68].
On the other hand, in a different scanner with sequential acquisition capabilities, one option would be to perform all the diagnostic MR acquisitions at the beginning, followed by MRAC dedicated sequences and then PET. A clinical indication which would use such a protocol (Fig. 3.4) is to assess response to treatment or in Head/Neck cancer surgery planning [59]. Workflow optimisation is even more necessary for sequential acquisition settings, since the luxury of PET acquisition during MR is not present. Hence, current sequential scanner designs are trying to leverage technologies from both modalities such as Time-of-Flight (TOF) PET and multiple transmission MRI in order to minimise the required imaging time. The MRAC whole-body scan requires approximately 4–6 min [69], while a TOF PET scan is shown to be performed as fast as 30s/bed position [70, 71] but times between 1-2 min/bed are more common. The decision for how long to acquire PET data depends on the site preferences and experience with TOF-PET systems. Examples in literature exist which demonstrate the use of PET with short acquisition protocols for FDG [72] and other radio-tracers [73].
One improvement in the area of high-field MR is brought by the introduction of parallel transmission, which reduces the local Specific Absorption Rate (SAR), resulting in shorter pulse repetition time and, hence, faster acquisitions [74, 75]. Gains in acquisition time, though, vary depending on the pulse sequences used. From comparisons with standard high-field MR in literature it was found to accelerate lumbar spine imaging by 50 % for T2 sagittal and 18 % for T1 sagittal sequences; while in the pelvis, T2 fast spin-echo sequences could be acquired with a time gain of 33 % [76]. Finally, the average expected acquisition time improvement from multi-transmit was found to be 31 % across 77 clinically tested MR sequences [77].
Technical Requirements
The necessary technology for building a PET/MR scanner is already described in detail in a different chapter of this book. The current section attempts to link specific clinical and/or workflow needs for PET/MRI and the main technological requirements which may address these needs. The two main such needs is the reduction of scan time and the equivalence of image quality as well as quantification of PET/MR in comparison with stand-alone MRI and PET/CT.
Scan Time
As it became apparent so far in the discussion, one major consideration is the PET/MR acquisition time. Shorter exam times ensure patient comfort and faster throughput (implying reduced cost per exam). However, faster throughput should be considered together with the fact that radiation exposure to staff might be higher in PET/MR than in PET/CT due to longer patient setting-up times that MRI scans require, and the current lack of formalised reimbursement framework for PET/MR scans. These two parameters may limit anyhow the patient availability per day for PET/MR scans.
On the other hand, both PET and MRI have limitations with respect to their signal detection efficiency. For PET imaging, only a certain amount of radiotracer can be administered according to national and local health and safety regulations, while the tomograph itself has a significantly low detection efficiency, despite its ability for absolute quantification [78]. MRI has also low sensitivity, due to the inherent low macroscopic magnetisation of the human body [79]. Therefore, the longer the acquisition time, the better the quantification and image quality can be achieved by for both modalities.
The scanner design and several technologies can improve the above compromise. From the PET side, the straightforward approach is to increase the solid angle of the detector exposed to radioactivity with direct effect on system sensitivity [80]. This can be achieved by increasing the axial FOV and/or placing the detector closer to the body. This has already been successfully employed by one system design [61]. In the last 6 years, advancements in scintillation crystals, electronics and reconstruction algorithms have enabled PET systems to compute with higher accuracy the origin of each registered event using Time-of-Flight (TOF) and significantly improving the signal-to-noise (SNR) ratio in images [81] at levels higher than expected for the given sensitivity of the scanner [82] and keeping all other imaging parameters equal. This route has also been exploited by another system design [60].
From the MRI side, several techniques have been attempted in order to reduce the acquisition time. Fast pulse sequences have been developed, sometimes at the expense of spatial resolution or SNR [83]. The use of 3T MRI despite its excellent spatial resolution and contrast that introduced it made acquisitions longer due to the need to account for increased levels of local Specific Absorption Rate (SAR) by increasing Repetition Times (TR) in the pulse sequences [84]. Two other MRI technologies, that lead to a reduction in scan time, is parallel acquisition with multiple coil elements [85], and parallel transmission [86]. Parallel acquisition uses multiple receiver coil channels that provide additional spatial information for the reconstruction of the under-sampled K-space in the phase encoding direction [87]. Parallel acquisition algorithms work either with the acquired aliased images (e.g. SENSE [88]) or by reconstructing the missing K-space data (e.g. GRAPPA [89]). A more recent technology, parallel transmission utilizes multiple transmission channels and RF sources to adjust the power, amplitude, phase and waveform for optimal excitation and homogeneous receive fields for each specific patient anatomy [76]. The latter has as a result homogeneous fat suppression [90] and better image quality for difficult regions such as spine [77], breast [91], heart [92] and pelvis [76]. In addition, parallel transmission benefits PET/MR through the reduction of local SAR, allowing for significant increases in scanning speed [76].
Image Quality and Quantification
A major advantage for PET/MR versus MRI is the high specificity of PET as well as its relative and absolute quantification of the radiotracer bio-distribution. This becomes possible after the implementation of several corrections on the PET data related to ionising radiation measurements; namely, radioactive decay, the attenuation and scatter of photons in matter and random registered coincidences resulting into faulty estimated events [93]. For PET/MR, most of these corrections are estimated using identical or similar procedures to stand-alone PET and PET/CT. However, this is not true for attenuation correction [94] and scatter correction may also be problematic in certain clinical applications.
Attenuation correction in stand-alone PET is performed by acquiring a transmission scan using rotating 68Ge or 137Cs sources or, in modern PET/CTs, a low-dose CT scan (CTAC) is used (Fig. 2.12). In contrast to CT, MRI does not provide the electron density information of the scanned object, the primary cause of photon attenuation. Therefore, MR images require further manipulation to derive attenuation coefficients. Several MR-based attenuation correction (MRAC) methods exist in literature, based on anatomical atlases [95], segmentation of images obtained with specific MR sequences [96–98] or a combination of both [99]. Two further requirements for such methodology are to use MR images that can be acquired in a clinically feasible time (as a significant amount of PET/MR applications are expected to require whole-body imaging) and are able to provide useful clinical information for whole-body disease assessment. Currently, the methods implemented on the commercial systems use specific MR-sequences and segmentation of three [69] or four [97] different classes of attenuating media.
Another important concern for MRAC is the smaller MRI transverse FOV versus that of PET. This difference frequently results in truncation of hands and shoulders in the MR image of a number of patients (Fig. 3.5a). The result is a truncated MRAC map (Fig. 3.5b) causing bias in quantification and image artefacts in PET [100, 101]. The currently implemented truncation compensated methods on the two commercial systems use two different approaches. The missing parts of the attenuation maps are estimated in the first case by a modified iterative reconstruction algorithm using the emission PET data [102], while the second utilises an edge-detection algorithm operating on the reconstructed non-attenuated PET image and using prior knowledge of the scanner design [100].
The first implemented MRAC methods do not take into account cortical bone [97, 103], the highest attenuating material in the human body. Although currently published data from both commercially implemented methods do not show any clinically relevant quantitative inaccuracies [69, 97, 104], a different study showed that MRAC without a bone class underestimates SUVs in certain areas such as spine and pelvis [105]. Another study, using CTAC maps processed in such a way to mimic MRAC, found SUVmean underestimated by 11 % for total bone lesions with femur being the highest (17 %) [106]. These findings indicate that, depending on the clinical application, more thorough studies may identify quantification concerns for first generation MRAC methods.
Since the transverse relaxation time (T2) of cortical bone is very short [107], the signal from bone has decayed at the time of image acquisition in classical MR sequences. Thus, a separation of air and bone is not possible on the acquired MR images. To obtain a bone signal, Ultra-short Echo Time (UTE) sequences, in particular, have been used [108, 109] for MR attenuation correction. UTE sequences sample the free induction decay (FID) directly after the excitation of the spins, yielding signal from bone and all other tissue, while an echo signal is acquired in the same sequence, where the bone signal has already decayed. Attenuation maps are then derived by segmenting the images into air, tissue and bone components [59]. Unfortunately, such sequences require long acquisition time [108] while the resulting images do not have clinically relevant information for most examinations. This is an on-going area of research and several academic and industry groups are trying to improve MRAC with clinically sensible MR acquisition times.
Another area of concern regarding MRAC the presence of magnetically susceptible materials (e.g. metal implants or medical devices) in the MR FOV, will result into susceptibility artefacts, i.e. signal void areas and bright signals in the tissues surrounding the implants [110]. Such artefacts propagate in the MRAC map in a relatively arbitrary fashion, depending on the location and extent of the artefact (Fig. 3.6). Metal artefact reduction sequences (MARS) can be used to reduce the size and intensity of susceptibility artefacts from magnetic field distortion [111]. However, currently only manual corrections may be available.
Apart from attenuation correction, scatter correction may also need some consideration in PET/MR. Although the standard methodology performs very well for most clinical situations, on certain clinical settings when patient set-up may differ from PET/CT, this difference may impact on scatter correction accuracy. For example, in breast cancer, MR patient set-up is different from PET/CT, prone vs. supine positioning, respectively. The main benefit for prone imaging is that the breast tissues are extended by gravity providing higher spatial resolution than in supine position. When prone positioning is selected in PET/MR, occasionally certain parts of the body exhibit extremely low radiotracer uptake, such as the area behind the breast. This causes the scatter correction to fail, impacting both image quality and quantification. To address the incorporation of a priori information from the MR scan in the scatter correction has been investigated [112]. One such example is illustrated in Fig. 3.7.
Conclusions
This chapter has presented generic forms of PET/MR protocols, as been reported by users in literature, and the impact that current technologies have on such imaging protocols. By the time this book was published, whole-body PET/MR had already been in the clinic for two and a half years. During this period a lot of effort was devoted into proving that the new modality performs equally well with stand-alone modalities and PET/CT. For most cases this is already proven but efforts are still underway for improving technologies such as MR-based attenuation correction and motion correction/compensation. The clinical exposure of PET/MR identifies important areas for improvement and accordingly, technology is still expected to improve in capabilities and performance, and system designs to mature. Judging from PET/CT, most probably we are still several years away from fully-optimised technologies.
Although, the period where image quality comparison between PET/CT vs. PET/MR slowly comes to an end and the next phase of investigating the clinical benefits of the new technology has already started. The optimisation of imaging protocols is an inherent part of streamlining workflows and improving the acquisition of diagnostic information and a two-way impact is expected between the implementation of novel technology and testing of new imaging protocols. Even preliminary results from this phase are of paramount importance for the establishment and acceptance rate of the new modality. Obviously, only time can tell the future of PET/MR; however, judging from the interest, motivation and the investment already made for this novel imaging technology one may say that its chances are quite high. The following chapters will give an idea of future PET/MR clinical applications.
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Kalemis, A. (2013). Technical Principles and Protocols of PET/MR Imaging. In: Ratib, O., Schwaiger, M., Beyer, T. (eds) Atlas of PET/MR Imaging in Oncology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31292-2_3
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