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Unimodal Deformable Image Registration | Longitudinal CT Study Challenge

The advent of unprecedented image resolution, made possible by 64, 256 and 320 slice scanners, raises new challenges in image analysis. First, a patient's position will typically shift between multiple scan acquisitions during a single scanning session. Secondly, radiologists would like to be able to accurately compare the same regions of interest in CT scans acquired at different times to quantitatively assess any changes in pathologies and the efficacy of treatments. In both situations, internal organs will both shift and change shape due to changes in body position and respiration. Thus, in order to successfully fuse and compare two or more images to within detector resolution rigid body registration is not sufficient – deformable registration is required.

For additional information please click here to download a brochure on Quantiva Deformable CT/CT registration and image fusion.

A comparison of rigid and deformable CT/CT registration in the auto-segmented lung. The left axial images are overlays of two same-patient CT images acquired approximately three months apart. The right image is the corresponding CT-CT subtraction image dynamically cycling between rigid body and deformable registration. Blue indicates a negative Hounsfield value, red indicates negative and black corresponds to zero. After deformable registration the lower right CT-CT subtraction image is virtually zero everywhere within the lung.

Multimodal Elastic Image Registration | PET/CT Study Challenge

The advent of functional/anatomic image fusion utilizing hybrid PET/CT scanners raises new challenges in diagnostic image analysis. First, a patient\'s position will typically shift between PET and CT scan acquisitions during a single scanning session. Secondly, radiologists would like to be able to accurately compare the same regions of interest in CT scans acquired at different times to quantitatively assess any changes in pathologies and the efficacy of treatments. In both situations, internal organs will both shift and change shape due to changes in body position and respiration. Thus, in order to successfully fuse and compare two or more images to within detector resolution rigid body registration is not sufficient – elastic [deformable or non-rigid] registration is required.

For additional information on Quantiva Automatic Elastic PET/CT Registration and Image Fusion please click here.

 

High-Performance Rapid 3D/2D Visualization | Large Image Data Set Challenge

The advent of such unprecedented image resolution, made possible by 64, 256 and 320 slice scanners, raises new challenges in image analysis. First, these new scanners have generated an explosion in the amount and detail of information that may be generated per patient scan – thousands of slices – with traditional assessment of cross-sectional images as the primary means of assessment no longer practical. Second, despite the increase in the volume of data resulting in a much greater workload for the radiologist the responsibility to perform a thorough assessment for each patient continues be of prime importance. Thus, in order to successfully handle the explosion in the patient image data workload new 3D and 2D methods of image display are required.

For additional information on Quantiva High-Performance 3D Visualization please click here.

 
Thin slab MIP displays are effective tools for the rapid detection of lung nodules. In cine mode the bronchi appear to flow in a connected manner whereas the lung nodules appear stationary. As the human eye is very sensitive to differences in motion nodule detection is enhanced.