A batch is typically a user-defined series of images that is derived from patient scan data that displays reconstructed views of specific anatomy and/or function, giving more focused information. These batches are exported as their own datasets, can simulate 3D visualization, and these new datasets are used to enhance radiologists and clinicians workflows when reviewing medical images.

There are many types of batches. Batches can show parallel slices, rotational projections, temporal (time-changing) projections, overlays, cut planes, endoluminal (view inside of anatomy), and much more.

To the right is an example of a parallel batch capturing a Multi Planar Reconstruction (MPR) batch of the heart. The context of the heart was enhanced by focusing on the angulation of the ventricles in the heart. This angle demonstrates the relationship between the left and right ventricles, providing an immediate comparison between ventricles; and saving the radiologist time from scrolling back and forth to gain this perspective.

A rotational batch (spinning batch) can use a Curved Planar Reformat (CPR) as the focus, resulting in the series of images “rotating” around the line defining the CPR when viewed in sequence. This rotational batch of the carotid artery allows radiologists to quickly determine if there is stenosis or dissection in the entire vessel.

These rotational batches are Volume Rendered representations of various anatomic structures relevant to Living Related Donor (LRD) Kidney assessment. Such an assessment evaluates the suitability of potential kidney donors.

The MIP function can be applied to batches, resulting in projecting the brightest voxel from each image across the series. The slice thickness from which the MIP is derived can be modified to suit the clinical needs.

A batch can be rendered in 4D, giving the appearance of a video. The examples to the right show the function of a heart valve opening and closing, and a demonstration of Popliteal Entrapment Syndrome (A condition where an enlarged or abnormally positioned calf muscle presses on the main artery behind the knee).

Two series can be fused together into a batch, combining the data of both previous datasets into a single new dataset. The example to the right demonstrates a batch of the dentatorubrothalamic tract (DRTT) pathways registered with a batch of a MR brain. This is useful because it allows different data and information to be combined and visualized in a single dataset.

The batch to the right shows a grayscale volume-rendered cut-plane batch that moves through the abdomen from front to back at 1mm intervals. This slowly reveals the anatomy and helps visualize the relationships among various structures. In this particular volume render, any voxel intensities below muscle are hidden which adds depth to the render.