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Dive into the research topics where Georg Schramm is active.

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Featured researches published by Georg Schramm.


Magnetic Resonance Materials in Physics Biology and Medicine | 2013

Quantitative accuracy of attenuation correction in the Philips Ingenuity TF whole-body PET/MR system: a direct comparison with transmission-based attenuation correction

Georg Schramm; Jens Langner; Frank Hofheinz; Jan Petr; Bettina Beuthien-Baumann; Ivan Platzek; Joerg Steinbach; Joerg Kotzerke; Joerg van den Hoff

ObjectiveEvaluation of the quantitative accuracy of MR-based attenuation correction (MRAC) in the Philips Ingenuity TF whole-body PET/MR.Materials and methodsIn 13 patients, PET emission data from the PET/MR were reconstructed using two different methods for attenuation correction. In the first reconstruction, the vendor-provided standard MRAC was used. In the second reconstruction, a coregistered transmission-based attenuation map from a second immediately preceding investigation with a stand-alone Siemens ECAT EXACT HR+ PET scanner was used (TRAC). The two attenuation maps were compared regarding occurrence of segmentation artifacts in the MRAC procedure. Standard uptake values (SUVs) of multiple VOIs (liver, cerebellum, hot focal structures at various locations in the trunk) were compared between both reconstructed data sets. Furthermore, a voxel-wise intensity correlation analysis of both data sets in the lung and trunk was performed.ResultsVOI averaged SUV differences between MRAC and TRAC were as follows (relative differences, meanxa0±xa0standard deviation): (+12xa0±xa06) % cerebellum, (−4xa0±xa09) % liver, (−2xa0±xa011) % hot focal structures. The fitted slopes of the voxel-wise correlations in the lung and trunk were 0.87xa0±xa00.17 and 0.95xa0±xa00.10 with averaged adjusted R2 values of 0.96 and 0.98, respectively. These figures include two instances with partially erroneous lung segmentation due to artifacts in the underlying MR images.ConclusionThe MR-based attenuation correction implemented on the Philips Ingenuity PET/MR provides reasonable quantitative accuracy. On average, deviations from TRAC-based results are small (on the order of 10xa0%xa0 or below) across the trunk, but due to interindividual variability of the segmentation quality, deviations of more than 20xa0%xa0 can occur. Future improvement of the segmentation quality would help to increase the quantitation accuracy further and to reduce the inter-subject variability.Evaluation of the quantitative accuracy of MR-based attenuation correction (MRAC) in the Philips Ingenuity TF whole-body PET/MR. In 13 patients, PET emission data from the PET/MR were reconstructed using two different methods for attenuation correction. In the first reconstruction, the vendor-provided standard MRAC was used. In the second reconstruction, a coregistered transmission-based attenuation map from a second immediately preceding investigation with a stand-alone Siemens ECAT EXACT HR+ PET scanner was used (TRAC). The two attenuation maps were compared regarding occurrence of segmentation artifacts in the MRAC procedure. Standard uptake values (SUVs) of multiple VOIs (liver, cerebellum, hot focal structures at various locations in the trunk) were compared between both reconstructed data sets. Furthermore, a voxel-wise intensity correlation analysis of both data sets in the lung and trunk was performed. VOI averaged SUV differences between MRAC and TRAC were as follows (relative differences, meanxa0±xa0standard deviation): (+12xa0±xa06) % cerebellum, (−4xa0±xa09) % liver, (−2xa0±xa011) % hot focal structures. The fitted slopes of the voxel-wise correlations in the lung and trunk were 0.87xa0±xa00.17 and 0.95xa0±xa00.10 with averaged adjusted R 2 values of 0.96 and 0.98, respectively. These figures include two instances with partially erroneous lung segmentation due to artifacts in the underlying MR images. The MR-based attenuation correction implemented on the Philips Ingenuity PET/MR provides reasonable quantitative accuracy. On average, deviations from TRAC-based results are small (on the order of 10xa0%xa0 or below) across the trunk, but due to interindividual variability of the segmentation quality, deviations of more than 20xa0%xa0 can occur. Future improvement of the segmentation quality would help to increase the quantitation accuracy further and to reduce the inter-subject variability.


Magnetic Resonance Materials in Physics Biology and Medicine | 2013

PET/MR for therapy response evaluation in malignant lymphoma: initial experience

Ivan Platzek; Bettina Beuthien-Baumann; Jens Langner; Manuel Popp; Georg Schramm; Rainer Ordemann; Michael Laniado; Joerg Kotzerke; Joerg van den Hoff

ObjectTo evaluate the feasibility of positron emission tomography/magnetic resonance imaging (PET/MR) with 18fluoro-2-deoxyglucose (FDG) for therapy response evaluation of malignant lymphoma.Materials and methodsNine patients with malignant lymphoma who underwent FDG-PET/MR before and after chemotherapy were included in this retrospective study. Average time between the two scans was 70xa0days. The scans were evaluated independently by two nuclear medicine physicians. The Ann Arbor classification was used to describe lymphoma stage. Furthermore, the readers also rated PET image quality using a five point scale. Weighted kappa (κ) was used to calculate interrater agreement.ResultsThe initial scan showed foci of increased FDG uptake in all patients, with Ann Arbor stage varying between I and IV. In the follow-up examination, all but one patient showed complete response to chemotherapy. PET image quality was rated as very good or excellent for all scans. Interrater agreement was excellent regarding Ann Arbor stage (κxa0=xa00.97) and good regarding image quality (κxa0=xa00.41).ConclusionPET/MR shows promising initial results for therapy response evaluation in lymphoma patients.


EJNMMI research | 2013

The PET-derived tumor-to-blood standard uptake ratio (SUR) is superior to tumor SUV as a surrogate parameter of the metabolic rate of FDG

Joerg van den Hoff; Liane Oehme; Georg Schramm; Jens Maus; Alexandr Lougovski; Jan Petr; B. Beuthien-Baumann; Frank Hofheinz

BackgroundThe standard uptake value (SUV) approach in oncological positron emission tomography has known shortcomings, all of which affect the reliability of the SUV as a surrogate of the targeted quantity, the metabolic rate of [18F]fluorodeoxyglucose (FDG), Km. Among the shortcomings are time dependence, susceptibility to errors in scanner and dose calibration, insufficient correlation between systemic distribution volume and body weight, and, consequentially, residual inter-study variability of the arterial input function (AIF) despite SUV normalization. Especially the latter turns out to be a crucial factor adversely affecting the correlation between SUV and Km and causing inter-study variations of tumor SUVs that do not reflect actual changes of the metabolic uptake rate. In this work, we propose to replace tumor SUV by the tumor-to-blood standard uptake ratio (SUR) in order to distinctly improve the linear correlation with Km.MethodsAssuming irreversible FDG kinetics, SUR can be expected to exhibit a much better linear correlation to Km than SUV. The theoretical derivation for this prediction is given and evaluated in a group of nine patients with liver metastases of colorectal cancer for which 15 fully dynamic investigations were available and Km could thus be derived from conventional Patlak analysis.ResultsFor any fixed time point T at sufficiently late times post injection, the Patlak equation predicts a linear correlation between SUR and Km under the following assumptions: (1) approximate shape invariance (but arbitrary scale) of the AIF across scans/patients and (2) low variability of the apparent distribution volume Vr (the intercept of the Patlak Plot). This prediction - and validity of the underlying assumptions - has been verified in the investigated patient group. Replacing tumor SUVs by SURs does improve the linear correlation of the respective parameter with Km from r = 0.61 to r = 0.98.ConclusionsSUR is an easily measurable parameter that is highly correlated to Km. In this respect, it is clearly superior to SUV. Therefore, SUR should be seriously considered as a drop-in replacement for SUV-based approaches.


European Journal of Radiology | 2014

FDG PET/MR for lymph node staging in head and neck cancer

Ivan Platzek; Bettina Beuthien-Baumann; Matthias Schneider; Volker Gudziol; Hagen H. Kitzler; Jens Maus; Georg Schramm; Manuel Popp; Michael Laniado; Joerg Kotzerke; Joerg van den Hoff

OBJECTIVEnTo assess the diagnostic value of PET/MR (positron emission tomography/magnetic resonance imaging) with FDG (18F-fluorodeoxyglucose) for lymph node staging in head and neck cancer.nnnMATERIALS AND METHODSnThis prospective study was approved by the local ethics committee; all patients signed informed consent. Thirty-eight patients with squamous cell carcinoma of the head and neck region underwent a PET scan on a conventional scanner and a subsequent PET/MR on a whole-body hybrid system after a single intravenous injection of FDG. The accuracy of PET, MR and PET/MR for lymph node metastases were compared using receiver operating characteristic (ROC) analysis. Histology served as the reference standard.nnnRESULTSnMetastatic disease was confirmed in 16 (42.1%) of 38 patients and 38 (9.7%) of 391 dissected lymph node levels. There were no significant differences between PET/MR, MR and PET and MR (p>0.05) regarding accuracy for cervical metastatic disease. Based on lymph node levels, sensitivity and specificity for metastatic involvement were 65.8% and 97.2% for MR, 86.8% and 97.0% for PET and 89.5% and 95.2% for PET/MR.nnnCONCLUSIONSnIn head and neck cancer, FDG PET/MR does not significantly improve accuracy for cervical lymph node metastases in comparison to MR or PET.


IEEE Transactions on Medical Imaging | 2013

Influence and Compensation of Truncation Artifacts in MR-Based Attenuation Correction in PET/MR

Georg Schramm; Jens Langner; Frank Hofheinz; Jan Petr; Alexandr Lougovski; B. Beuthien-Baumann; Ivan Platzek; J. van den Hoff

The goal of this article is to quantify the influence of truncation artifacts in the magnetic resonance (MR)-based attenuation map (MRMap) on reconstructed positron emission tomography (PET) image volumes and to propose a new method for minimizing this influence. Methods: PET data sets of 20 patients investigated in a Philips Ingenuity PET/MR were reconstructed with and without applying two different methods for truncation compensation (TC1 vendor-provided, TC2 newly developed). In this patient group, the extent of truncation artifacts and quality of the truncation compensation (TC) was assessed visually in the MRMaps. In three additional patients MRMaps generated by algorithm TC2 could be compared to the ground truth of transmission-based attenuation maps obtained with a Siemens ECAT HR+ scanner. The influence of truncation on regional SUVs in lesions, other hot structures (bladder, kidney, myocardium) and the arms was assessed in suitable volume of interests (VOI). Results: Truncation compensated MRMaps exhibited residual artifacts in the arms in 16 patients for algorithm TC1 and to a lesser extent in eight patients for algorithm TC2. Compared to the transmission-based attenuation maps algorithm TC2 slightly overestimated the size of the truncated arms by 0.3 cm in the radial direction. Without truncation compensation, VOIs located in the trunk showed an average SUVmax underestimation of less than 5.4% relative to the results obtained with TC2. Inside the patients arms underestimations up to 46.5% were found. Conclusion: In the trunk, standardized uptake values (SUV) underestimations due to truncation artifacts in the MRMap are rather small. Inside the arms, severe SUV underestimations can occur. Therefore, reliable TC is mandatory and can be achieved by applying the newly developed algorithm TC2 which has yielded promising results so far. Implementation of the proposed method is straightforward and should be easily adaptable to other PET/MR systems.


Academic Radiology | 2014

FDG PET/MR for the assessment of lymph node involvement in lymphoma: initial results and role of diffusion-weighted MR.

Ivan Platzek; Bettina Beuthien-Baumann; Rainer Ordemann; Jens Maus; Georg Schramm; Hagen H. Kitzler; Michael Laniado; Joerg Kotzerke; Joerg van den Hoff

RATIONALE AND OBJECTIVESnThe purpose of this study was to evaluate the sensitivity and specificity of positron emission tomography/magnetic resonance imaging (PET/MR) with 18F-fluorodeoxyglucose (FDG) for nodal involvement in malignant lymphoma.nnnMATERIALS AND METHODSnTwenty-seven patients with malignant lymphoma (16 men and 11 women; mean age, 45 years) were included in this retrospective study. The patients underwent FDG PET/MR after intravenous injection of FDG (176-357 MBq FDG, 282 MBq on average). Follow-up imaging and histology served as the standard of reference.nnnRESULTSnOne-hundred and twenty-seven (18.1%) of 702 lymph node stations were rated as having lymphoma involvement based on the standard of reference. One-hundred and twenty-four (17.7%) of 702 lymph node stations were rated as positive by FDG PET/MR. The sensitivity and specificity of FDG PET/MR for lymph node station involvement were 93.8% and 99.4%.nnnCONCLUSIONSnFDG PET/MR is feasible for lymphoma staging and has a high sensitivity and specificity for nodal involvement in lymphoma. Comparison with PET/CT is necessary to determine whether FDG PET/MR can replace PET/CT for lymphoma staging.


Magnetic Resonance in Medicine | 2013

Partial volume correction in arterial spin labeling using a Look‐Locker sequence

Jan Petr; Georg Schramm; Frank Hofheinz; Jens Langner; Joerg van den Hoff

Partial volume (PV) effects are caused by limited spatial resolution and significantly affect cerebral blood flow investigations with arterial spin labeling. Therefore, accurate PV correction (PVC) procedures are required. PVC is commonly based on PV maps obtained from segmented high‐resolution T1‐weighted images. Segmentation of these images is error‐prone, and it can be difficult to coregister these images accurately with the single‐shot ASL images such as those created by echo‐planar imaging (EPI). In this paper, an alternative method for PV map generation is proposed.


EJNMMI research | 2013

Dual time point based quantification of metabolic uptake rates in 18F-FDG PET

Joerg van den Hoff; Frank Hofheinz; Liane Oehme; Georg Schramm; Jens Langner; Bettina Beuthien-Baumann; Joerg Steinbach; Joerg Kotzerke

BackgroundAssessment of dual time point (DTP) positron emission tomography was carried out with the aim of a quantitative determination of Km, the metabolic uptake rate of [18F]fluorodeoxyglucose as a measure of glucose consumption.MethodsStarting from the Patlak equation, it is shown that Km≈mt/ca0+V̄r/τa, where mt is the secant slope of the tissue response function between the dual time point measurements centered at tu2009=u2009t0. ca0=ca(t0) denotes arterial tracer concentration, V̄r is an estimate of the Patlak intercept, and τa is the time constant of the ca(t) decrease. We compared the theoretical predictions with the observed relation between Ks=mt/ca0 and Km in a group of nine patients with liver metastases of colorectal cancer for which dynamic scans were available, and Km was derived from conventional Patlak analysis. Twenty-two lesion regions of interest (ROIs) were evaluated. ca(t) was determined from a three-dimensional ROI in the aorta. Furthermore, the correlation between Km and late standard uptake value (SUV) as well as retention index was investigated. Additionally, feasibility of the approach was demonstrated in a whole-body investigation.ResultsPatlak analysis yielded a mean Vr of V̄r=0.53±0.08 ml/ml. The patient averaged τa was 99u2009±u200923 min. Linear regression between Patlak-derived Km and DTP-derived Ks according to Ksu2009=u2009bu2009·u2009Kmu2009+u2009a yielded bu2009=u20090.98u2009±u20090.05 and au2009=u2009-0.0054u2009±u20090.0013 ml/min/ml (ru2009=u20090.98) in full accordance with the theoretical predictions bu2009=u20091 and a≈-V̄r/τa. Ks exhibits better correlation with Km than late SUV and retention index, respectively. Ks(c)=Ks+V̄r/τa is proposed as a quantitative estimator of Km which is independent of patient weight, scan time, and scanner calibration.ConclusionQuantification of Km from dual time point measurements compatible with clinical routine is feasible. The proposed approach eliminates the issues of static SUV and conventional DTP imaging regarding influence of chosen scanning times and inter-study variability of the input function. Ks and Ks(c) exhibit improved stability and better correlation with the true Km. These properties might prove especially relevant in the context of radiation treatment planning and therapy response control.


Physics in Medicine and Biology | 2014

A volume of intersection approach for on-the-fly system matrix calculation in 3D PET image reconstruction.

Alexandr Lougovski; Frank Hofheinz; Jens Maus; Georg Schramm; Edmund Will; J. van den Hoff

The aim of this study is the evaluation of on-the-fly volume of intersection computation for systems geometry modelling in 3D PET image reconstruction. For this purpose we propose a simple geometrical model in which the cubic image voxels on the given Cartesian grid are approximated with spheres and the rectangular tubes of response (ToRs) are approximated with cylinders. The model was integrated into a fully 3D list-mode PET reconstruction for performance evaluation. In our model the volume of intersection between a voxel and the ToR is only a function of the impact parameter (the distance between voxel centre to ToR axis) but is independent of the relative orientation of voxel and ToR. This substantially reduces the computational complexity of the system matrix calculation. Based on phantom measurements it was determined that adjusting the diameters of the spherical voxel size and the ToR in such a way that the actual voxel and ToR volumes are conserved leads to the best compromise between high spatial resolution, low noise, and suppression of Gibbs artefacts in the reconstructed images. Phantom as well as clinical datasets from two different PET systems (Siemens ECAT HR(+) and Philips Ingenuity-TF PET/MR) were processed using the developed and the respective vendor-provided (line of intersection related) reconstruction algorithms. A comparison of the reconstructed images demonstrated very good performance of the new approach. The evaluation showed the respective vendor-provided reconstruction algorithms to possess 34-41% lower resolution compared to the developed one while exhibiting comparable noise levels. Contrary to explicit point spread function modelling our model has a simple straight-forward implementation and it should be easy to integrate into existing reconstruction software, making it competitive to other existing resolution recovery techniques.


Clinical Imaging | 2017

FDG PET/MR in initial staging of sarcoma: Initial experience and comparison with conventional imaging

Ivan Platzek; Bettina Beuthien-Baumann; Georg Schramm; Jens Maus; Michael Laniado; Jörg Kotzerke; Jörg van den Hoff; Markus Schuler

OBJECTIVEnTo assess the feasibility of positron emission tomography/magnetic resonance imaging (PET/MR) with 18F-fluordeoxyglucose (FDG) for initial staging of sarcoma.nnnMATERIALS AND METHODSnTwenty-nine patients with sarcoma were included in this study. Weighted kappa (κ) was used to assess the agreement between PET/MR and conventional imaging (CT and MR). The accuracy of PET/MR and conventional imaging for distant metastases was compared using receiver operating characteristic (ROC) analysis.nnnRESULTSnT and M stage were identical for PET/MR and conventional modalities in all patients (κ=1). N stage was identical for 28/29 patients (κ=0.65).nnnCONCLUSIONSnFDG PET/MR shows excellent agreement with the currently preferred imaging methods (CT and MR) in initial staging of sarcoma.

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Dive into the Georg Schramm's collaboration.

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Frank Hofheinz

Helmholtz-Zentrum Dresden-Rossendorf

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Joerg van den Hoff

Helmholtz-Zentrum Dresden-Rossendorf

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Bettina Beuthien-Baumann

Dresden University of Technology

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Ivan Platzek

Dresden University of Technology

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Jens Maus

Helmholtz-Zentrum Dresden-Rossendorf

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Alexandr Lougovski

Helmholtz-Zentrum Dresden-Rossendorf

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Jan Petr

Helmholtz-Zentrum Dresden-Rossendorf

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Jens Langner

Helmholtz-Zentrum Dresden-Rossendorf

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Joerg Kotzerke

Dresden University of Technology

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Michael Laniado

Dresden University of Technology

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