In this paper, we present and validate a framework, based on deformable image registration, for automatic processing of serial three-dimensional CT images used in image-guided radiation therapy. A major assumption in deformable image registration has been that, if two images are being registered, every point of one image corresponds appropriately to some point in the other. For intra-treatment images of the prostate, however, this assumption is violated by the variable presence of bowel gas. The framework presented here explicitly extends previous deformable image registration algorithms to accommodate such regions in the image for which no correspondence exists. We show how to use our registration technique as a tool for organ segmentation, and present a statistical analysis of this segmentation method, validating it by comparison with multiple human raters. We also show how the deformable registration technique can be used to determine the dosimetric effect of a given plan in the presence of non-rigid tissue motion. In addition to dose accumulation, we describe a method for estimating the biological effects of tissue motion using a linear-quadratic model. This work is described in the context of a prostate treatment protocol, but it is of general applicability.

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Abstract.We have been developing an approach for automatically quantifying organ motion for adaptive radiation therapy of the prostate. Our approach is based on deformable image registration, which makes it possible to establish a correspondence between points in images taken on different days. This correspondence can be used to study organ motion and to accumulate inter-fraction dose. In prostate images, however, the presence of bowel gas can cause significant correspondence errors. To account for this problem, we have developed a novel method that combines large deformation image registration with a bowel gas segmentation and deflation algorithm. In this paper, we describe our approach and present a study of its accuracy for adaptive radiation therapy of the prostate. All experiments are carried out on 3-dimensional CT images.

A single institution's experience with the treatment of localized primary lymphoma of the breast (PLB) was analyzed to understand the natural history of this disease and to identify major prognostic factors and optimal treatment. A retrospective analysis of 23 previously untreated patients who met the strict criteria of PLB from 1972 through 1994 was undertaken. All pathologic materials were reviewed and classified by the Working Formulation. The Ann Arbor stages (AASs) were: IE, 17 patients; IIE, five patients; IV, one patients (bilateral breast involvement without distant metastasis). Pathologic findings were: low grade, two patients; intermediate grade, 18 patients (17 with diffuse large-cell lymphoma (DLCL)); high grade, two patients; and unclassifiable, one patient. The treatments after biopsy or mastectomy were: radiation alone, two patients; chemotherapy alone, six patients; and combined-modality therapy, 13 patients. Two patients had mastectomy alone. Overall survival (OS) and relapse-free survival (RFS) were calculated actuarially. Univariate analyses were performed with patient age, treatment modality, AAS, size of the primary tumor (T stage), and International Prognostic Index (IPI) for the 17 patients with DLCL to define prognostic factors. The median follow-up for the surviving patients was 78 months (range, 45-220 months). The 5-year OS and RFS were 74% and 73%, respectively for all 23 patients, and 65% and 70%, respectively, for the 17 patients with DLCL. Statistically significant factors for OS for DLCL were AAS and IPI. Statistically significant factors for RFS were AAS and T stage. With modern staging evaluation and multiagent combination chemotherapy, localized primary non-Hodgkin lymphoma of the breast, especially diffuse large-cell type, has a prognosis as favorable as that of other DLCL. Ann Arbor stage was a significant factor for both OS and RFS.