Evaluating precisely the temporal variations of lesion volumes is very important for at least
three types of practical applications: pharmaceutical trials, decision making for drug …

Evaluating precisely the temporal variations of tumor volumes is very important for at least
three types of practical applications: pharmaceutical trials, decision making for drug …

Evaluating precisely the temporal variations of lesion volumes is very important for at least
three types of practical applications: pharmaceutical trials, decision making for drug …

Change detection is of paramount importance in medical imaging, serving as a non-invasive
quantifiable powerful tool in diagnosis and in assessment of the outcome of treatment of …

The study of temporal series of medical images can be helpful for physicians to perform
pertinent diagnoses and to help them in the follow-up of a patient: in some diseases, lesions …

This paper presents a quantification method which can be used to quantify the evolution of a
brain tumor with time. From two segmented volumes, a local distance volume (LDV) based …

Presents a method for analysis of nonrigid motion in time sequences of volume images (4D
data). In this method, nonrigid motion of the deforming object's contour is dynamically …

We present an automatic technique to quantify changes in the volume of cerebral structures.
The only manual step is a segmentation of the structure of interest in the first image. The …

A method for soft tissue deformation recovery is presented and tested on both simulated and
real data. The approach is based on a combination of a volumetric deformable model and a …

Tumor heterogeneity has major implications for tumor development and response to
therapy. We relate intra-tumor heterogeneity to morphology as determined by MRI (or CT) …