Agfa Healthcare Nv

Katholieke Universiteit Leuven, Ku Leuven R&d

Medicim Nv

Dirk Loeckx

Piet Dewaele

Dieter Seghers

Wouter Mollemans

Filip Schutyser

Paul Suetens

Vincent Masselus

Kevin Suetens

Philip Dutre

A system and method for pre-operatively obtaining a prediction of a post-operative image of at least part of a body is disclosed. A 3D pre-operative description is determined of at least part of a body, and a pre-operative 2D photograph is acquired of the at least part of the body from any viewing position. The 3D pre-operative description is matched with the pre-operative 2D photograph, and a deformation field is determined for deforming the 3D pre-operative description. A predicted post-operative image of a 3D post-operative description of the at least part of the body is derived by means of the deformation field and the pre-operative 2D photograph.

Method and system for pre-operative prediction

A gray value model is generated encoding photometric knowledge at landmark positions. This step exploits intensity correlation in neighborhoods sampled around landmark positions. A geometric model is generated encoding geometric knowledge between landmarks. This step exploits spatial correlation between landmarks of segmented anatomic entities.

Method of constructing gray value or geometric models of anatomic entity in medical image

For each of a number of landmarks in an image an initial position of the landmark is defined. Next a neighborhood around the initial position, comprising a number of candidate locations of the landmark is sampled and a cost is associated with each of the candidate locations. A cost function expressing a weighted sum of overall gray level cost and overall shape cost for all candidate locations is optimized. A segmented anatomic entity is defined as a path through a selected combination of candidate locations for which combination the cost function is optimized.

Method of segmenting anatomic entities in digital medical images

Growing community of inventors

Kessel-lo, Belgium

Dirk Loeckx