ADR - Anatomy-Driven Reformation

Abstract

Dedicated visualization methods are among the most important tools of modern computer-aided medical applications. Reformation methods such as Multiplanar Reformation or Curved Planar Reformation have evolved as useful tools that facilitate diagnostic and therapeutic work. In this paper, we present a novel approach that can be seen as a generalization of Multiplanar Reformation to curved surfaces. The main concept is to generate reformatted medical volumes driven by the individual anatomical geometry of a specific patient. This process generates flat views of anatomical structures that facilitate many tasks such as diagnosis, navigation and annotation. Our reformation framework is based on a non-linear as-rigid-as-possible volumetric deformation scheme that uses generic triangular surface meshes as input. To manage inevitable distortions during reformation, we introduce importance maps which allow controlling the error distribution and improving the overall visual quality in areas of elevated interest. Our method seamlessly integrates with well-established concepts such as the slice-based inspection of medical datasets and we believe it can improve the overall efficiency of many medical workflows. To demonstrate this, we additionally present an integrated visualization system and discuss several use cases that substantiate its benefits.

Ray Traced Volume Clipping Using Multi-Hit BVH Traversal

“…However, with both interaction modes, only a portion of the delineated tumor is visible at a single instance of time. For the visualization to be more useful in the context of the time-critical neurosurgical operation planning process, we therefore envision unrolling the tumor hull and projecting it to 2-D, possibly in a manner similar to the technique presented by Kretschmer et al [15], as helpful and consider an implementation and evaluation of additional, more application centric user interfaces interesting future work. The two implementations we provide differ by an order of magnitude in terms of run time performance, which was to be expected due to the higher parallelism, memory bandwidth, and due to hardware support for 1-D and 3-D texture lookups on the GPU.…”

A Survey of Flattening‐Based Medical Visualization Techniques

“…Kretschmer et al [KST*14] describe a reformation technique, referred to as anatomy‐driven reformation (ADR) that reformats a volume along a structure‐ or object‐specific surface, as demonstrated in Figure . By using an as‐rigid‐as‐possible (ARAP) mapping, angle and length measurements are preserved (local rigidity).…”

Placenta Maps: In Utero Placental Health Assessment of the Human Fetus

“…Reformatted images can be computed to alleviate mental efforts and support examination [10], [11]. The reformation process relies on the principle that an arbitrary surface R can be parametrized with two parameters u, v and then mapped to a rectilinear coordinate system, suitable for common display hardware.…”

“…Kretschmer et al [10] propose anatomy-driven reformation (ADR), an approach that considers the overall shape of the assessed object for reformation. In this case, the ADR surface coincides with R. They additionally compute offset surfaces in the positive and negative half-spaces of R. These two surfaces represent boundaries of the sub-volume that is being reformatted.…”

“…The image of the slicing step in Figure 3 shows the distance field on the left as well as the internal layers on the right. In contrast to our approach, the ADR technique by Kretschmer et al [10] uses the normal vectors of a surface to compute its offset surfaces. However, this possibly leads to self-intersections and not well-defined surfaces, especially in regions with high curvature or in case of large offsets.…”