The Medical Imaging Interaction Toolkit: challenges and advances

Positron emission tomography (PET) images are degraded by a phenomenon known as the partial volume effect (PVE). Approaches have been developed to reduce PVEs, typically through the utilisation of structural information provided by other imaging modalities such as MRI or CT.These methods, known as partial volume correction (PVC) techniques, reduce PVEs by compensating for the effects of the scanner resolution, thereby improving the quantitative accuracy. The PETPVC toolbox described in this paper comprises a suite of methods, both classic and more recent approaches, for the purposes of applying PVC to PET data.Eight core PVC techniques are available. These core methods can be combined to create a total of twenty-two different PVC techniques. Simulated brain PET data are used to demonstrate the utility of toolbox in idealised conditions, the effects of applying PVC with mismatched pointspread function (PSF) estimates and the potential of novel hybrid PVC methods to improve the quantification of lesions.All anatomy-based PVC techniques achieve complete recovery of the PET signal in cortical grey matter (GM) when performed in idealised conditions. Applying deconvolution-based approaches results in incomplete recovery due to premature termination of the iterative process. PVC techniques are sensitive to PSF mismatch, causing a bias of up to 16.7% in GM recovery when over-estimating the PSF by 3mm. The recovery of both GM and a simulated lesion was improved by combining two PVC techniques together.The PETPVC toolbox has been written in C++, supports Windows, Mac and Linux operating systems, is open-source and publicly available.3

show abstract

“…Figure 1 shows how the additional fourteen hybrids can be formulated from the eight core methods. Imaging Interaction Toolkit (MITK) [23], [24].…”

Section: Hybrid Methodsmentioning

confidence: 99%

PETPVC: a toolbox for performing partial volume correction techniques in positron emission tomography

et al. 2016

View full text Add to dashboard Cite

show abstract

“…All images were co-registered with the gdce-T 1 using an automatic multi modal rigid registration algorithm in MITK (33).…”

Section: Conventional Mri At 3tmentioning

confidence: 99%

Downfield‐NOE‐suppressed amide‐CEST‐MRI at 7 Tesla provides a unique contrast in human glioblastoma

Zaiß

Windschuh

Goerke

et al. 2016

Magnetic Resonance in Med

115

180

View full text Add to dashboard Cite

Purpose: The chemical exchange saturation transfer (CEST) effect observed in brain tissue in vivo at the frequency offset 3.5 ppm downfield of water was assigned to amide protons of the protein backbone. Obeying a base-catalyzed exchange process such an amide-CEST effect would correlate with intracellular pH and protein concentration, correlations that are highly interesting for cancer diagnosis. However, recent experiments suggested that, besides the known aliphatic relayednuclear Overhauser effect (rNOE) upfield of water, an additional downfield rNOE is apparent in vivo resonating as well around þ3.5 ppm. In this study, we present further evidence for the underlying downfield-rNOE signal, and we propose a first method that suppresses the downfield-rNOE contribution to the amide-CEST contrast. Thus, an isolated amide-CEST effect depending mainly on amide proton concentration and pH is generated. Methods: The isolation of the exchange mediated amide proton effect was investigated in protein model-solutions and tissue lysates and successfully applied to in vivo CEST images of 11 glioblastoma patients. Results: Comparison with gadolinium contrast enhancing longitudinal relaxation time-weighted images revealed that the downfield-rNOE-suppressed amide-CEST contrast forms a unique contrast that delineates tumor regions and show remarkable overlap with the gadolinium contrast enhancement. Conclusion: Thus, suppression of the downfield rNOE contribution might be the important step to yield the amide proton CEST contrast originally aimed at.

show abstract

“…So far, automated muscle segmentation has been used for example to quantify skeletal muscles of the abdomen and of the paravertebral lumbar muscles on CT and MR images [6,7]. The technique we used has been established for more than a decade for different segmentation processes [8] including adipose tissue measurements [9] and segmentation of bone metastases [10]. In the clinical routine muscle segmentation can be useful especially when deployed automatically to determine whole-body muscle mass and thereby quantify the progress of chronic diseases or conditions, i. e., (autoimmune) myositis or sarcopenia [6,7].…”

Section: Discussionmentioning

confidence: 99%

Volumetric Assessment of Swallowing Muscles: A Comparison of CT and MRI Segmentation

Sporns

Hanning

Schmidt³

et al. 2017

Fortschr Röntgenstr

View full text Add to dashboard Cite

The Medical Imaging Interaction Toolkit: challenges and advances

Abstract: MITK provides a versatile platform with a high degree of modularization and interoperability and is well suited to meet the challenging tasks of today's and tomorrow's clinically motivated research.

Cited by 368 publications

References 17 publications

PETPVC: a toolbox for performing partial volume correction techniques in positron emission tomography

PETPVC: a toolbox for performing partial volume correction techniques in positron emission tomography

Downfield‐NOE‐suppressed amide‐CEST‐MRI at 7 Tesla provides a unique contrast in human glioblastoma

Volumetric Assessment of Swallowing Muscles: A Comparison of CT and MRI Segmentation

Contact Info

Product

Resources

About