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Software-supported analysis of MRgFUS therapy outcome

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Recently, first studies on MRgFUS for therapy of localized prostate cancer have been presented... Rather these data are acquired before MRgFUS for therapy planning and after therapy for outcome assessment... To support the radiologist, a software prototype was therefore developed to analyze MRgFUS therapy outcome based on image registration and synchronization... The software comprises the following functionalities: 2D viewers with basic interaction functionality (zoom, window/level modification, overlays), display of FUS temperature maps (Fig 1), image ordering and classification, automatic image registration, interactive registration refinement, synchronization cursor, contouring tool for segmentation and annotations, and ROI statistics... To analyze therapy outcome all available MR data of the patient are imported... The linear registration focusses on T2w MR images which are available in every examination... If results are insufficient, registration can be manually refined... MR thermometry temperature maps can be imported as well to correlate the applied thermal dose with post-therapeutic image changes... Furthermore, contrast-enhanced images acquired at the end of a therapy session can be compared with diagnostic or follow-up images to check if all affected areas were covered... First tests were performed on anonymized data of prostate cancer patients who had extensive MR imaging prior to and past cryo therapy (Fig 2), as well as on meat data treated with FUS... The software implements all necessary features for analyzing the therapy outcome and correlation with previous diagnostic and therapeutic data... In addition it could be used for therapy planning... Further evaluation of the software, including a registration accuracy evaluation, is currently in preparation.

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T1w MR image of a meat sample with temperature map overlay.
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Figure 1: T1w MR image of a meat sample with temperature map overlay.

Mentions: Initially, the workflow of MRgFUS in combination with multi-parametric MR examinations before and after therapy was analyzed. Based on the analysis, a software prototype addressing the specific workflow was built with the development environment MeVisLab. The software comprises the following functionalities: 2D viewers with basic interaction functionality (zoom, window/level modification, overlays), display of FUS temperature maps (Fig 1), image ordering and classification, automatic image registration, interactive registration refinement, synchronization cursor, contouring tool for segmentation and annotations, and ROI statistics. To analyze therapy outcome all available MR data of the patient are imported. Data are automatically ordered and classified for automatic post-processing and visualization. Next, images from different examinations are automatically co-registered. The linear registration focusses on T2w MR images which are available in every examination. If results are insufficient, registration can be manually refined. The user then selects images for correlated display which are synchronized with crosshairs.


Software-supported analysis of MRgFUS therapy outcome
T1w MR image of a meat sample with temperature map overlay.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4489607&req=5

Figure 1: T1w MR image of a meat sample with temperature map overlay.
Mentions: Initially, the workflow of MRgFUS in combination with multi-parametric MR examinations before and after therapy was analyzed. Based on the analysis, a software prototype addressing the specific workflow was built with the development environment MeVisLab. The software comprises the following functionalities: 2D viewers with basic interaction functionality (zoom, window/level modification, overlays), display of FUS temperature maps (Fig 1), image ordering and classification, automatic image registration, interactive registration refinement, synchronization cursor, contouring tool for segmentation and annotations, and ROI statistics. To analyze therapy outcome all available MR data of the patient are imported. Data are automatically ordered and classified for automatic post-processing and visualization. Next, images from different examinations are automatically co-registered. The linear registration focusses on T2w MR images which are available in every examination. If results are insufficient, registration can be manually refined. The user then selects images for correlated display which are synchronized with crosshairs.

View Article: PubMed Central - HTML

AUTOMATICALLY GENERATED EXCERPT
Please rate it.

Recently, first studies on MRgFUS for therapy of localized prostate cancer have been presented... Rather these data are acquired before MRgFUS for therapy planning and after therapy for outcome assessment... To support the radiologist, a software prototype was therefore developed to analyze MRgFUS therapy outcome based on image registration and synchronization... The software comprises the following functionalities: 2D viewers with basic interaction functionality (zoom, window/level modification, overlays), display of FUS temperature maps (Fig 1), image ordering and classification, automatic image registration, interactive registration refinement, synchronization cursor, contouring tool for segmentation and annotations, and ROI statistics... To analyze therapy outcome all available MR data of the patient are imported... The linear registration focusses on T2w MR images which are available in every examination... If results are insufficient, registration can be manually refined... MR thermometry temperature maps can be imported as well to correlate the applied thermal dose with post-therapeutic image changes... Furthermore, contrast-enhanced images acquired at the end of a therapy session can be compared with diagnostic or follow-up images to check if all affected areas were covered... First tests were performed on anonymized data of prostate cancer patients who had extensive MR imaging prior to and past cryo therapy (Fig 2), as well as on meat data treated with FUS... The software implements all necessary features for analyzing the therapy outcome and correlation with previous diagnostic and therapeutic data... In addition it could be used for therapy planning... Further evaluation of the software, including a registration accuracy evaluation, is currently in preparation.

No MeSH data available.