A heterogeneous algorithm for PDT dose optimization for prostate

Martin D. Altschuler; Timothy C. Zhu; Yida Hu; Jarod C. Finlay; Andreea Dimofte; Ken Wang; Jun Li; Keith Cengel; S. B. Malkowicz; Stephen M. Hahn

doi:10.1117/12.809897

18 February 2009 A heterogeneous algorithm for PDT dose optimization for prostate

Martin D. Altschuler, Timothy C. Zhu, Yida Hu, Jarod C. Finlay, Andreea Dimofte, Ken Wang, Jun Li, Keith Cengel, S. B. Malkowicz, Stephen M. Hahn

Author Affiliations +

Proceedings Volume 7164, Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XVIII; 71640B (2009) https://doi.org/10.1117/12.809897
Event: SPIE BiOS, 2009, San Jose, California, United States

Abstract

The object of this study is to develop optimization procedures that account for both the optical heterogeneity as well as photosensitizer (PS) drug distribution of the patient prostate and thereby enable delivery of uniform photodynamic dose to that gland. We use the heterogeneous optical properties measured for a patient prostate to calculate a light fluence kernel (table). PS distribution is then multiplied with the light fluence kernel to form the PDT dose kernel. The Cimmino feasibility algorithm, which is fast, linear, and always converges reliably, is applied as a search tool to choose the weights of the light sources to optimize PDT dose. Maximum and minimum PDT dose limits chosen for sample points in the prostate constrain the solution for the source strengths of the cylindrical diffuser fibers (CDF). We tested the Cimmino optimization procedures using the light fluence kernel generated for heterogeneous optical properties, and compared the optimized treatment plans with those obtained using homogeneous optical properties. To study how different photosensitizer distributions in the prostate affect optimization, comparisons of light fluence rate and PDT dose distributions were made with three distributions of photosensitizer: uniform, linear spatial distribution, and the measured PS distribution. The study shows that optimization of individual light source positions and intensities are feasible for the heterogeneous prostate during PDT.

Citation Download Citation

Martin D. Altschuler, Timothy C. Zhu, Yida Hu, Jarod C. Finlay, Andreea Dimofte, Ken Wang, Jun Li, Keith Cengel, S. B. Malkowicz, and Stephen M. Hahn "A heterogeneous algorithm for PDT dose optimization for prostate", Proc. SPIE 7164, Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XVIII, 71640B (18 February 2009); https://doi.org/10.1117/12.809897

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available