Predictive Modeling of Anatomy with Genetic and Clinical Data

Citation:

Adrian V Dalca, Ramesh Sridharan, Mert R Sabuncu, and Polina Golland. 2015. “Predictive Modeling of Anatomy with Genetic and Clinical Data.” Med Image Comput Comput Assist Interv, 9351, Pp. 519-26.

Abstract:

We present a semi-parametric generative model for predicting anatomy of a patient in subsequent scans following a single baseline image. Such predictive modeling promises to facilitate novel analyses in both voxel-level studies and longitudinal biomarker evaluation. We capture anatomical change through a combination of population-wide regression and a non-parametric model of the subject's health based on individual genetic and clinical indicators. In contrast to classical correlation and longitudinal analysis, we focus on predicting new observations from a single subject observation. We demonstrate prediction of follow-up anatomical scans in the ADNI cohort, and illustrate a novel analysis approach that compares a patient's scans to the predicted subject-specific healthy anatomical trajectory.

Last updated on 10/19/2017