Computer-controlled noninvasive patient positioning in fractionated radiotherapy — A videogrammetric system for automatic patient setup, fast detection of patient motion and online correction of target point misalignment during therapy-Reference-Cited by-同舟云学术

Computer-controlled noninvasive patient positioning in fractionated radiotherapy — A videogrammetric system for automatic patient setup, fast detection of patient motion and online correction of target point misalignment during therapy

Published:1997 Issue: Volume: Page:695-704
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Lappe Christian,Braun Marcus,Helfert Stefan,Hirschfeld Frank,Menke Markus,Pastyr Otto,Sturm Volker,Schlegel Wolfgang

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/BFb0029295

Reference24 articles.

1. Amelung J., Ristow B.; Precise measurement of the head position in radiation therapy; CAR 1995; book of abstracts; pp: 1301; 1995.

2. Beck-Bornholdt H.-P., Schmidt R., Schwarz R.; Biological isoeffect distributions: Consideration of the influence of dose per fraction and overall treatment time. A possible tool in future treatment planning; Strahlentherapie und Onkologie 167; 1991.

3. Bijhold J.; Three-dimensional verification of patient placement during radiotherapy using portal images; Med. Phys. 20: 347–56; 1993.

4. Gall K., Verhey L.; Computer-assisted positioning of radiotherapy patients using implanted radio-opaque fiducials; Med. Phys. 20: 1153–59; 1993.

5. Gildersleve J., Dearnaley D., Evans P., Swindell W.; Reproducibility of patient positioning during routine radiotherapy, as assessed by an integrated megavoltage imaging system; Radiotherapy and Oncology 35: 151–60; 1995.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3D Reconstruction and alignment by consumer RGB-D sensors and fiducial planar markers for patient positioning in radiation therapy;Computer Methods and Programs in Biomedicine;2019-10

2. Automatic detection of patient identification and positioning errors in radiation therapy treatment using 3-dimensional setup images;Practical Radiation Oncology;2015-09