Towards Clinical Deployment of Automated Anatomical Regions-Of-Interest

Stefan Lindholm, Daniel Forsberg, Anders Ynnerman, Hans Knutsson, Mats Andersson, Claes Lundström
Eurographics Workshop on Visual Computing for Biology and Medicine, page 137--143 - sep 2014
The purpose of this work is to investigate, and improve, the feasibility of advanced Region Of Interest (ROI) selection schemes in clinical volume rendering. In particular, this work implements and evaluates an Automated Anatomical ROI (AA-ROI) approach based on the combination of automatic image registration (AIR) and Distance-Based Transfer Functions (DBTFs), designed for automatic selection of complex anatomical shapes without relying on prohibitive amounts of interaction. Domain knowledge and clinical experience has been included in the project through participation of practicing radiologists in all phases of the project. This has resulted in a set of requirements that are critical for Direct Volume Rendering applications to be utilized in clinical practice and a prototype AA-ROI implementation that was developed to addresses critical points in existing solutions. The feasibility of the developed approach was assessed through a study where five radiologists investigated three medical data sets with complex ROIs, using both traditional tools and the developed prototype software. Our analysis indicate that advanced, registration based ROI schemes could increase clinical efficiency in time-critical settings for cases with complex ROIs, but also that their clinical feasibility is conditional with respect to the radiologists trust in the registration process and its application to the data.

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BibTex references

  author       = {Lindholm, Stefan and Forsberg, Daniel and Ynnerman, Anders and Knutsson, Hans and Andersson, Mats and Lundstr{\"o}m, Claes},
  title        = {{Towards Clinical Deployment of Automated Anatomical Regions-Of-Interest}},
  booktitle    = {Eurographics Workshop on Visual Computing for Biology and Medicine},
  pages        = {137--143},
  year         = {2014},
  publisher    = {Eurographics Association},
  address      = {Vienna, Austria}

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