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Proceedings Paper

Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI
Author(s): Jonathan Chappelow; Stefan Both; Satish Viswanath; Stephen Hahn; Michael Feldman; Mark Rosen; John Tomaszewski; Neha Vapiwala; Pratik Patel; Anant Madabhushi
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Paper Abstract

In this paper, we present a comprehensive, quantitative imaging framework for improved treatment of prostate cancer via computer-assisted targeted therapy (CATT) to facilitate radiotherapy dose escalation to regions with a high likelihood of disease presence. The framework involves identification of high likelihood prostate cancer regions using computer-aided detection (CAD) classifier on diagnostic MRI, followed by mapping of these regions from MRI onto planning computerized tomography (CT) via image registration. Treatment of prostate cancer by targeted radiotherapy requires CT to formulate a dose plan. While accurate delineation of the prostate and cancer can provide reduced exposure of benign tissue to radiation, as well as a higher dose to the cancer, CT is ineffective in localizing intraprostatic lesions and poor for highlighting the prostate boundary. MR imagery on the other hand allows for greatly improved visualization of the prostate. Further, several studies have demonstrated the utility of CAD for identifying the location of tumors on in vivo multi-functional prostate MRI. Consequently, our objective is to improve the accuracy of radiotherapy dose plans via multimodal fusion of MR and CT. To achieve this objective, the CATT framework presented in this paper comprises the following components: (1) an unsupervised pixel-wise classifier to identify suspicious regions within the prostate on diagnostic MRI, (2) elastic image registration to align corresponding diagnostic MRI, planning MRI, and CT of the prostate, (3) mapping of the suspect regions from diagnostic MRI onto CT, and (4) calculation of a modified radiotherapy plan with escalated dose for cancer. Qualitative comparison of the dose plans (with and without CAD) over a total of 79 2D slices obtained from 10 MR-CT patient studies, suggest that our CATT framework could help in improved targeted treatment of prostate cancer.

Paper Details

Date Published: 27 February 2010
PDF: 12 pages
Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76252C (27 February 2010); doi: 10.1117/12.844653
Show Author Affiliations
Jonathan Chappelow, Rutgers Univ. (United States)
Stefan Both, Hospital of the Univ. of Pennsylvania (United States)
Satish Viswanath, Rutgers Univ. (United States)
Stephen Hahn, Hospital of the Univ. of Pennsylvania (United States)
Michael Feldman, Hospital of the Univ. of Pennsylvania (United States)
Mark Rosen, Hospital of the Univ. of Pennsylvania (United States)
John Tomaszewski, Hospital of the Univ. of Pennsylvania (United States)
Neha Vapiwala, Hospital of the Univ. of Pennsylvania (United States)
Pratik Patel, Rutgers Univ. (United States)
Anant Madabhushi, Rutgers Univ. (United States)

Published in SPIE Proceedings Vol. 7625:
Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; Michael I. Miga, Editor(s)

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