Virtual Simulation of a Boost Field in Adjuvant Radiotherapy of the Breast

Kaiser, Andreas M.; Moser, Lutz; Kuschke, Wolf; Hinkelbein, Margit; Buchali, A.; Budach, Volker

doi:10.1007/s00066-004-1275-5

Cited by 2 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multi‐modal volume visualization is also described by Sibomana et al [SDB*02], where Volumes of Interest (VoIs) are extracted, registered, resliced and visualized for a head and neck application. The method of Kaiser et al [KMK*04] targets the virtual simulation of a boost field in adjuvant radiotherapy of the breast and the visualization of dose distributions thereof, while Lam et al [LCS*13] conduct an evaluation of a multi‐scale texture analytic procedure for the detection of abnormalities and lesions in CT images of the pelvis, which is based on a visualization platform for the representation of treatment planning, CT image‐guided positioning and treatment delivery.…”

Section: Taxonomy and Presentation Of Previous Work In Vc For Rtmentioning

confidence: 99%

State‐of‐the‐Art Report: Visual Computing in Radiation Therapy Planning

Schlachter

Raidou

Muren

et al. 2019

Computer Graphics Forum

View full text Add to dashboard Cite

Radiation therapy (RT) is one of the major curative approaches for cancer. It is a complex and risky treatment approach, which requires precise planning, prior to the administration of the treatment. Visual Computing (VC) is a fundamental component of RT planning, providing solutions in all parts of the process—from imaging to delivery. Despite the significant technological advancements of RT over the last decades, there are still many challenges to address. This survey provides an overview of the compound planning process of RT, and of the ways that VC has supported RT in all its facets. The RT planning process is described to enable a basic understanding in the involved data, users and workflow steps. A systematic categorization and an extensive analysis of existing literature in the joint VC/RT research is presented, covering the entire planning process. The survey concludes with a discussion on lessons learnt, current status, open challenges, and future directions in VC/RT research.

show abstract

Section: Taxonomy and Presentation Of Previous Work In Vc For Rtmentioning

confidence: 99%

State‐of‐the‐Art Report: Visual Computing in Radiation Therapy Planning

Schlachter

Raidou

Muren

et al. 2019

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

“…Such alternative techniques are electronic portal imaging devices [1,3,5,7,11,20,23,35] or the digital luminescence radiography [2,4,13,16,17,32,37].…”

Section: Introductionmentioning

confidence: 99%