77 Papers
547 Citations
Mingli Chen is an academic researcher from University of Texas Southwestern Medical Center. The author has contributed to research in topics: Computer science & Tomotherapy. The author has an hindex of 18, co-authored 67 publications. Previous affiliations of Mingli Chen include University of Wisconsin-Madison & University of Texas at Dallas.
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Papers
Automatic re-contouring in 4D radiotherapy.
TL;DR: An automatic re-contouring algorithm that combines techniques of deformable registration and surface construction to delineate regions of interest on each phase of four-dimensional computed tomography images and changes of tumour and sensitive structures during respiration are quantitatively analysed.
128
Patent
System and method of detecting a breathing phase of a patient receiving radiation therapy
Weiguo Lu,Kenneth J. Ruchala,Mingli Chen,Quan Chen,Gustavo H. Olivera +4 more
- 21 Jul 2006
TL;DR: In this article, a system and method of detecting a breathing phase of a patient receiving radiation therapy is described, in one implementation, including the acts of obtaining a plurality of patient images representing phases of a breathing cycle, delivering radiation to the patient, collecting transmission data of the patient during the delivering radiation, and comparing the transmission data to patient images.
104
Patent
System and method for motion adaptive optimization for radiation therapy delivery
Weiguo Lu,Mingli Chen,Quan Chen,Kenneth J. Ruchala,Gustavo H. Olivera +4 more
- 05 Mar 2009
TL;DR: In this article, a real-time system and method of optimizing delivery of a radiation therapy treatment is proposed to take into account patient anatomical and physiological changes (e.g., respiration and other movement, etc.).
92
Patent
Method for adapting fractionation of a radiation therapy dose
Weiguo Lu,Mingli Chen,Quan Chen,Kenneth J. Ruchala,Gustavo H. Olivera +4 more
- 27 Oct 2008
TL;DR: In this paper, a system and method of adapting a radiation therapy treatment plan for a patient by varying the fraction size delivered to the patient on any individual day, based at least partially on the use of daily patient registration (i.e., taking images of the patient before each fraction is delivered to see the position and size of the tumor on that day).
55
Validation of GPU based TomoTherapy dose calculation engine
TL;DR: It is verified and validated that the ultrafast TomoTherapy GPU dose engine can safely replace the existing Tomo Therapy cluster based dose engine without degradation in dose accuracy.
43