Literature DB >> 17271022

Using the full scale 3D solid anthropometric model in radiation oncology positioning and verification.

Shuh-Ping Sun1, Ching-Jung Wu.   

Abstract

This paper describes the full size solid 3D Anthropometric Model using in the positioning and verification process for radiation treatment planning of the skull of cancer patients in radiotherapy. In order to obtain a full scale 3D, solid Anthropometric Model, data is first collected through computed tomography and optical scanning. Through surface reconstruction, a model is made of the patients skull, after which rapid prototyping and rapid tooling is applied to acquire a 1:1 solid model, thus, it can replace the patient for the tumor positioning and verification in radiotherapy. The 3D Anthropometric Model are not only provide a clear picture of the external appearance, but also allow insight into the internal structure of organic bodies, which is of great advantage in radiotherapy. During radiotherapy planning, 3D Anthropometric Model can be used to simulate all kinds of situations on the simulator and the linear accelerator, without the patient needing to be present, so that the medical physicist or dosimetrist will be able to design a precise treatment plan that is tailored to the patient. The 3D Anthropometric Model production system can effectively help us solve problems related to r adiotherapy positioning and verification, helping both radiotherapists and cancer patients. We expect that the application of 3D Anthropometric Model can reduce the time that needs to be spent on pretreatment procedures and enhance the quality of health care for cancer patients.

Entities:  

Year:  2004        PMID: 17271022     DOI: 10.1109/IEMBS.2004.1403963

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  3D printing based on imaging data: review of medical applications.

Authors:  F Rengier; A Mehndiratta; H von Tengg-Kobligk; C M Zechmann; R Unterhinninghofen; H-U Kauczor; F L Giesel
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-05-15       Impact factor: 2.924

Review 2.  Medical 3D Printing for the Radiologist.

Authors:  Dimitris Mitsouras; Peter Liacouras; Amir Imanzadeh; Andreas A Giannopoulos; Tianrun Cai; Kanako K Kumamaru; Elizabeth George; Nicole Wake; Edward J Caterson; Bohdan Pomahac; Vincent B Ho; Gerald T Grant; Frank J Rybicki
Journal:  Radiographics       Date:  2015 Nov-Dec       Impact factor: 5.333

  2 in total

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