Editors’ Pick
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable doseāvolume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy - PDF version
Dan Nguyen, Rafe McBeth, Azar Sadeghnejad Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve Jiang
Med Phys 2019 Dec 10. doi: 10.1002/mp.13955. [Epub ahead of print] https://aapm.onlinelibrary.wiley.com/doi/full/10.1002/mp.13955
What was your motivation for initiating this study?
When we first began our venture into deep learning for radiotherapy applications back in July 2017, we founded the Medical Artificial Intelligence and Automation (MAIA) Laboratory, which is a multiple investigator lab designed to facilitate collaboration and ideas-sharing among lab members. A number of us began to investigate treatment planning, and how artificial intelligence (AI) and automation technologies could be applied to improve the quality and time of treatment planning, and treatment deliverability. We found that deep learning was extremely suitable to predict the clinically delivered dose distribution and we published a paper that showed its feasibility (arXiv preprint) (publication). Soon we investigated its capability in dose prediction for several sites, such as lung, head and neck, etc.
As we progressed our knowledge of deep learning, we ran into an interesting conundrum: was it better to solve an approximate problem exactly, or to solve an exact problem approximately? In the current era of data-driven deep learning, the answer seems to lean towards the latter. Deep-learning models are capable of modelling data in extreme detail and accuracy. So, if we’re already leaning towards trying to solve exact problems approximately, and we are already throwing out global optimum guarantees by having a highly non-linear AI model, why don’t we take it a step further and redesign loss functions that directly reflect what we care about as well? In other words, we can create use and domain specific losses that we avoided in the past due to their non-convexities and the ill-behaved nature of their gradients. We hypothesised that deep learning would still be able to utilise such losses, as long as they showed defined gradients. Used this way, the model would be focused on minimising the errors specific to our domain, rather than just the overall error that a domain agnostic loss, such as mean squared error (MSE), would provide.
Thus we dived straight into a study that focused on investigating the effects of domain-specific losses on the AI’s performance. We wanted to see the effects on the model of adding one of the most commonly used forms of evaluation data in radiation oncology, the dose-volume histogram (DVH), as a loss function. In addition we wanted to see how the performance would be affected by the addition of an adversarial loss, which would effectively allow for the AI framework to learn its own domain specific features to minimise.
What were the main challenges during the work?
There were three main challenges during the work:
- Loss-function modelling – inherently a histogram is not differentiable. We focused efforts on redesigning a smooth differentiable approximation of the DVH. A key emphasis in the design of this function was that a loss function that used this approximate DVH would have exactly the same minima as the true DVH. By having the same minima, we could be sure that this approximate DVH could still be used to solve the exact problem.
- Data generation – we tested the effects of the additional domain losses for a model trained to navigate the trade-off space of plans. Because this requires the network to learn how to map many dose distributions from a single anatomy, the neural network must learn to differentiate the potentially small nuances between different doses that may have substantial clinical consequences. This can be challenging for MSE loss alone, since MSE is only focused on minimising the mean error. This particular type of problem would be a good arena for testing our hypothesis.
- To create data that would teach a model to navigate the trade-off space. We had to simulate many plans for a single patient. In our study, we generated 1200 pseudo-randomised plans, leading to a total of 84000 plans for our 70 patients. The ability to design a quick optimisation algorithm was the key to the creation of these plans in a reasonable time. We eventually turned to a proximal algorithm that came out in 2010, referred to as Chambolle-Pock or the Primal Dual Hybrid Gradient (PDHG) method.
What is the most important finding of your study?
We showed that the addition of the DVH metric (human domain knowledge) and adversarial loss (learned domain knowledge) could greatly improve the performance of the model in the areas relevant to our domain.
What are the implications of this research?
This study paved the way for us to rethink how we design and train AI frameworks. In particular, instead of using generic losses, and hoping for accurate AI models, we should focus on rewriting the loss function from the ground up, concentrating on the exact problem we wish to solve. Expert human-domain-specific knowledge can be the largest driver in the performance improvement, and adversarial learning can be used to capture further these particular subtle attributes as part of the loss. We also now have a trained AI model that can enable a physician quickly to navigate the trade-off space for a patient in real time, and produce a dose distribution as a tangible endpoint for the dosimetrist to use for planning. This is expected to reduce considerably the treatment-planning time, while improving the treatment-planning quality, enabling clinicians to focus their efforts on the difficult and demanding cases. In addition, the resulting deep-learning model from this study can be incorporated with fast automatic treatment-planning frameworks. This model would efficiently find the appropriate tradeoffs in the dose distribution, and a deliverable plan of it could be generated automatically.
Dan Nguyen & Steve Jiang
Medical Artificial Intelligence &
Automation (MAIA) Laboratory
Department of Radiation Oncology
UT Southwestern Medical Center
Dallas, USA
![](data:image/jpeg;base64,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)
Dan Nguyen
![](data:image/jpeg;base64,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)