The Medical College of Wisconsin, Inc.

X Allen Li

Ergun Ahunbay

Eric S Paulson

Vern Hart

Cun-geng Yang

Ranjeeta Thapa

Haidy Nasief

Ying Zhang

Sara Lim

Jingqiao Zhang

Systems and methods for accelerated online adaptive radiation therapy ('ART') are described. The improvements to online ART are generally provided based on the use of textural analysis and machine learning algorithms implemented with a hardware processor and a memory. The described systems and methods enable more efficient and accurate online adaptive replanning (“OLAR”), which can also be implemented in clinically acceptable timeframes. For example, OLAR can be reduced from taking 10-30 minutes down to 5-10 minutes.

Systems and methods for accelerated online adaptive radiation therapy

Systems and methods directed to adaptive radiotherapy planning are provided. In some aspects, provided system and method include producing synthetic images from magnetic resonance data using relaxometry maps. The method includes applying corrections to the data and generating relaxometry maps therefrom. In other aspects, a method for adapting a radiotherapy plan is provided. The method includes determining an objective function based on dose gradients from an initial dose distribution, and generating an optimized plan based on updated images, using aperture morphing and gradient maintenance algorithms without need for organ-at-risk contouring. In yet other aspects, a method for obtaining 4D MR imaging using a temporal reshuffling of data acquired during normal breathing, a method for deformable image registration using a sequentially applied semi-physical model regularization method for multimodality images, and a method to generate 4D plans using an aperture morphing algorithm based on 4D CT or 4D MR imaging are provided.

Systems and methods for adaptive replanning based on multi-modality imaging

System and method for producing synthetic images

Growing community of inventors

Milwaukee, WI, United States of America

X Allen Li