Visualization of 4D-PET/CT, Target Volumes and Dose Distribution: Applications in Radiotherapy Planning

Schlachter, Matthias; Fechter, Tobias; Nestle, Ursula; Bühler, Katja

doi:10.54294/lgcmkl

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…Volumetric data is the basis for the spatial views in our application and will be dependent of the type of cancer. In general, the spatial views will make use of multi-modal imaging sources, e.g., 4D-PET/CT, target volumes and dose distribution [31]. During the entire planning process several imaging data from a multitude of sources [34], as well as non-imaging data, accumulates around the patient [28].…”

Section: Volumetric Datamentioning

confidence: 99%

Exploration of Overlap Volumes for Radiotherapy Plan Evaluation with the Aim of Healthy Tissue Sparing

Schlachter¹,

Peters²,

Camenisch³

et al. 2021

Preprint

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Development of a novel interactive visualization approach for the exploration of radiotherapy treatment plans with a focus on overlap volumes with the aim of healthy tissue sparing. Methods:We propose a visualization approach to include overlap volumes in the radiotherapy treatment plan evaluation process. Quantitative properties can be interactively explored to identify critical regions and used to steer the visualization for a detailed inspection of candidates. We evaluated our approach with a user study covering the individual visualizations and their interactions regarding helpfulness, comprehensibility, intuitiveness, decision-making and speed.Results: A user study with three domain experts was conducted using our software and evaluating five data sets each representing a different type of cancer and location by performing a set of tasks and filling out a questionnaire. The results show that the visualizations and interactions help to identify and evaluate overlap volumes according to their physical and dose properties. Furthermore, the task of finding dose hots spots can also benefit from our approach. Conclusions:The results indicate the potential to enhance the current treatment plan evaluation process in terms of healthy tissue sparing.

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Section: Volumetric Datamentioning

confidence: 99%

Exploration of Overlap Volumes for Radiotherapy Plan Evaluation with the Aim of Healthy Tissue Sparing

Schlachter¹,

Peters²,

Camenisch³

et al. 2021

Preprint

Self Cite

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Visualization of 4D multimodal imaging data and its applications in radiotherapy planning

Schlachter

Fechter

Adebahr

et al. 2017

J Applied Clin Med Phys

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PurposeTo explore the benefit of using 4D multimodal visualization and interaction techniques for defined radiotherapy planning tasks over a treatment planning system used in clinical routine (C‐TPS) without dedicated 4D visualization.MethodsWe developed a 4D visualization system (4D‐VS) with dedicated rendering and fusion of 4D multimodal imaging data based on a list of requirements developed in collaboration with radiation oncologists. We conducted a user evaluation in which the benefits of our approach were evaluated in comparison to C‐TPS for three specific tasks: assessment of internal target volume (ITV) delineation, classification of tumor location in peripheral or central, and assessment of dose distribution. For all three tasks, we presented test cases for which we measured correctness, certainty, consistency followed by an additional survey regarding specific visualization features.ResultsLower quality of the test ITVs (ground truth quality was available) was more likely to be detected using 4D‐VS. ITV ratings were more consistent in 4D‐VS and the classification of tumor location had a higher accuracy. Overall evaluation of the survey indicates 4D‐VS provides better spatial comprehensibility and simplifies the tasks which were performed during testing.ConclusionsThe use of 4D‐VS has improved the assessment of ITV delineations and classification of tumor location. The visualization features of 4D‐VS have been identified as helpful for the assessment of dose distribution during user testing.

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A Survey on Multimodal Medical Data Visualization

Lawonn

Smit

Bühler

et al. 2017

Computer Graphics Forum

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Multi‐modal data of the complex human anatomy contain a wealth of information. To visualize and explore such data, techniques for emphasizing important structures and controlling visibility are essential. Such fused overview visualizations guide physicians to suspicious regions to be analysed in detail, e.g. with slice‐based viewing. We give an overview of state of the art in multi‐modal medical data visualization techniques. Multi‐modal medical data consist of multiple scans of the same subject using various acquisition methods, often combining multiple complimentary types of information. Three‐dimensional visualization techniques for multi‐modal medical data can be used in diagnosis, treatment planning, doctor–patient communication as well as interdisciplinary communication. Over the years, multiple techniques have been developed in order to cope with the various associated challenges and present the relevant information from multiple sources in an insightful way. We present an overview of these techniques and analyse the specific challenges that arise in multi‐modal data visualization and how recent works aimed to solve these, often using smart visibility techniques. We provide a taxonomy of these multi‐modal visualization applications based on the modalities used and the visualization techniques employed. Additionally, we identify unsolved problems as potential future research directions.

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Visualization of 4D-PET/CT, Target Volumes and Dose Distribution: Applications in Radiotherapy Planning

Cited by 3 publications

References 14 publications

Exploration of Overlap Volumes for Radiotherapy Plan Evaluation with the Aim of Healthy Tissue Sparing

Exploration of Overlap Volumes for Radiotherapy Plan Evaluation with the Aim of Healthy Tissue Sparing

Visualization of 4D multimodal imaging data and its applications in radiotherapy planning

A Survey on Multimodal Medical Data Visualization

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