Quantitative Image Processing

Bioclinica helps develop, validate and implement advanced quantitative image processing techniques to enable high throughput analysis of clinical trial data.

Neuroscience Imaging Analysis

Endpoints Analysis Description
3D Image Registration   Re-aligning MRI sequences and time points in space and time to facilitate the qualitative and quantitative image evaluations. Image registration is achieved fully and automatically using mutual information-based similarity criteria.
Atlas-Based Segmentation   Detection of brain, ventricles, hippocampus and other subcortical structures for subsequent volumetric analysis.
Brain Atrophy Tensor-Based Morphometry (TBM) using Jacobian Integration (JI) Estimates brain atrophy rates when comparing two different timepoints. JI captures volume changes within the deformation fields resulting from applying a high dimensional registration technique between baseline and follow up MRI scans.
Brain Atrophy Boundary Shift Integration (BSI) Whole brain, ventricles or hippocampus measurements. Estimates the total volume through which the boundaries of a given cerebral structure have moved based on voxel intensities.
Hippocampal Atrophy Atlas Based Segmentation Automated detection of hippocampus at all timepoints
Ventricular Volume Atlas Based Segmentation Automated detection of lateral ventricles at all timepoints
Lesion Detection and Tracking 3D segmentation algorithm and 4D connectivity algorithm Lesion detection algorithm that uses a statistical model based on Bayesian classification and Markov Random Field and automatically classifies brain tissues (WM/GM), CSF and  Using the 4D connectivity Algorithm,  segmented lesions can be tracked over time and automatically classified by lesion type (e.g. new, enlarging, etc.)
Diffusion-Weighted Imaging (DWI) Mean Diffusivity (MD)                    Apparent Diffusion Coefficient (ADC) uses native DWI scans provided by the sites to centrally generate DWI maps
Diffusion Tensor Imaging (DTI) Mean Diffusivity (MD)                    Apparent Diffusion Coefficient (ADC) Fractional Anisotropy (FA) uses native DTI scans provided by the sites to centrally generate DTI maps
Perfusion-Weighted Imaging (PWI) Mean Transit Time (MTT), Time to Peak (TTP), Central Blood Flow (CBF), Cerebral Blood Volume (CBV) Includes semi-quantitative or quantitative perfusion weighted MRI parameters and uses native PWI scans provided by the sites to generate PWI maps