Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions

Jönsson, Johan; Karlsson, Magnus; Karlsson, Mikael; Nyholm, Tufve

doi:10.1186/1748-717x-5-62

Cited by 187 publications

(181 citation statements)

References 27 publications

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“…This has created great interest in the concept of using MRI for treatment planning in external beam therapy, especially Intensity-Modulated Radio-Therapy (IMRT) [123][124][125]; an MRI-based boost-dose up to 80 Gy to the dominant tumour appears to be associated with low toxicity, however cancer control outcomes are not yet available [126]. EPE on MRI was shown to be the strongest predictor of biochemical recurrence in one study of men undergoing combined brachytherapy + IMRT, which suggests it could be useful in guiding prognosis and treatment planning [127].…”

Section: Mri In T-staging Treatment Selection and Planningmentioning

confidence: 99%

The role of magnetic resonance imaging in the diagnosis and management of prostate cancer

et al. 2013

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Background• The diagnosis of prostate cancer has long been plagued by the absence of an imaging tool that reliably detects and localises significant tumours. Recent evidence suggests that multi-parametric MRI could improve the accuracy of diagnostic assessment in prostate cancer. This review serves as a background to a recent USANZ position statement. It aims to provide an overview of MRI techniques and to critically review the published literature on the clinical application of MRI in prostate cancer. Technical Aspects• The combination of anatomical (T2-weighted) MRI with at least two of the three functional MRI parameterswhich include diffusion-weighted imaging, dynamic contrast-enhanced imaging and spectroscopy -will detect greater than 90% of significant (moderate to high risk) tumours; however MRI is less reliable at detecting tumours that are small (<0.5 cc), low grade (Gleason score 6) or in the transitional zone. The higher anatomical resolution provided by 3-Tesla magnets and endorectal coils may improve the accuracy, particularly in primary tumour staging.

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Section: Mri In T-staging Treatment Selection and Planningmentioning

confidence: 99%

The role of magnetic resonance imaging in the diagnosis and management of prostate cancer

et al. 2013

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“…It has been shown that a clear reduction of the dose calculation error can be achieved by segmenting a few tissue types and assigning different tissue properties to them [1]. However, the clinical applicability is limited as long as a timeconsuming manual segmentation is required-an automatic method is evidently needed.…”

Section: Introductionmentioning

confidence: 99%

Skull Segmentation in MRI by a Support Vector Machine Combining Local and Global Features

Sjölund

Järlideni

Andersson

et al. 2014

2014 22nd International Conference on Pattern Recognition

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Abstract-Magnetic resonance (MR) images lack information about radiation transport-a fact which is problematic in applications such as radiotherapy planning and attenuation correction in combined PET/MR imaging. To remedy this, a crude but common approach is to approximate all tissue properties as equivalent to those of water. We improve upon this using an algorithm that automatically identifies bone tissue in MR. More specifically; we focus on segmenting the skull prior to stereotactic neurosurgery, where it is common that only MR images are available.In the proposed approach, a machine learning algorithm known as a support vector machine is trained on patients for which both a CT and an MR scan are available. As input, a combination of local and global information is used. The latter is needed to distinguish between bone and air as this is not possible based only on the local image intensity.A whole skull segmentation is achievable in minutes. In a comparison with two other methods, one based on mathematical morphology and the other on deformable registration, the proposed method was found to yield consistently better segmentations.

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“…To use PET/MR data as a single imaging modality to base RT treatment planning and dose calculation on, dedicated algorithms that allow a transformation of MR values into pseudo-CT values 30 as well as a dedicated system for external-internal reference point definition are required. The definition of such isocenter point can be realized using a special laser system for RT simulation, which could be installed for combined PET/MR systems.…”

Section: Discussionmentioning

confidence: 99%

Towards integration of PET/MR hybrid imaging into radiation therapy treatment planning

et al. 2014

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Purpose: Multimodality imaging has become an important adjunct of state-of-the-art radiation therapy (RT) treatment planning. Recently, simultaneous PET/MR hybrid imaging has become clinically available and may also contribute to target volume delineation and biological individualization in RT planning. For integration of PET/MR hybrid imaging into RT treatment planning, compatible dedicated RT devices are required for accurate patient positioning. In this study, prototype RT positioning devices intended for PET/MR hybrid imaging are introduced and tested toward PET/MR compatibility and image quality. Methods: A prototype flat RT table overlay and two radiofrequency (RF) coil holders that each fix one flexible body matrix RF coil for RT head/neck imaging have been evaluated within this study. MR image quality with the RT head setup was compared to the actual PET/MR setup with a dedicated head RF coil. PET photon attenuation and CT-based attenuation correction (AC) of the hardware components has been quantitatively evaluated by phantom scans. Clinical application of the new RT setup in PET/MR imaging was evaluated in an in vivo study. Results: The RT table overlay and RF coil holders are fully PET/MR compatible. MR phantom and volunteer imaging with the RT head setup revealed high image quality, comparable to images acquired with the dedicated PET/MR head RF coil, albeit with 25% reduced SNR. Repositioning accuracy of the RF coil holders was below 1 mm. PET photon attenuation of the RT table overlay was calculated to be 3.8% and 13.8% for the RF coil holders. With CT-based AC of the devices, the underestimation error was reduced to 0.6% and 0.8%, respectively. Comparable results were found within the patient study. Conclusions:The newly designed RT devices for hybrid PET/MR imaging are PET and MR compatible. The mechanically rigid design and the reproducible positioning allow for straightforward CT-based AC. The systematic evaluation within this study provides the technical basis for the clinical integration of PET/MR hybrid imaging into RT treatment planning.

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Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions

Cited by 187 publications

References 27 publications

The role of magnetic resonance imaging in the diagnosis and management of prostate cancer

The role of magnetic resonance imaging in the diagnosis and management of prostate cancer

Skull Segmentation in MRI by a Support Vector Machine Combining Local and Global Features

Towards integration of PET/MR hybrid imaging into radiation therapy treatment planning

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