Workflow for processing V/Q lung SPECT images, including pulmonary lobe segmentation and quantification. The V/Q SPECT method enables visual and quantitative evaluation of pulmonary embolism, emphysema, and congenital pulmonary vascular abnormalities. Accurate 3D quantification of the function of individual lobes and segments gives confidence to the surgeon prior to excision.

Enhance planar images with Tera-Tomo™ 2D Planar Image Enhancement for better visualization of abnormalities. The module operates with state-of-the-art algorithms to enhance the quality of planar images obtained with half dose or double scan speed to the level of standard acquisitions. Tera-Tomo™ 2D Planar Image Enhancement package is fully automated thanks to its robust case-specific analysis module, which adaptively fits the parameters to every case in order to achieve optimal image quality. 

Calcium Scoring method enables to detect and quantify the calcified plaques in the regions of coronary arteries. Calculates Agatston and volume scores and calcium mass for all plaques and coronaries (total score).

Coronary Tree Segmentation method segments the coronary tree and plaques from contrast-enhanced CT. Segmentation helps cardiovascular radiologists to detect stenosis. 

Follow-Up Evaluation methods facilitate the evaluation of the progress of a disease or the results of a treatment over time. Studies of the same patient acquired on different days are displayed, and ROIs/VOIs are automatically copied to the current study which is registered to previous study. High-accuracy comparison is possible since the statistics calculated for the current study are based on the same volumes as in the previous study. Next to the general follow-up solution dedicated CT based RECIST 1.1 and PET-CT based PERCIST solutions are available too.

Dosimetric evaluation is available on the quantitative reconstructed images. Only the exact injected radiopharmaceutical information, patient data and well calibrated equipment needed for this increasingly important feature. Using the %ID (uptake percentage) of ROI/VOI statistical parameter, accurate dosimetric information can be obtained, allowing easier tracking of patient dose data over the course of a patient's life.

Automatic Lesion Detection is a robust method to narrow down the suspicious regions on a PET image by segmenting every potential lesion with a user-guided segmentation.