Symmetric Reconstruction of Functional Liver Segments and Cross-Individual Correspondence of Hepatectomy

Abstract

Accurate localization and analyses of functional liver segments are crucial in devising various surgical procedures, including hepatectomy. To this end, they require the extraction of a liver from computed tomography, and then the identification of resection correspondence between individuals. The first part is usually impeded by inherent deficiencies, as present in medical images, and vast anatomical variations across subjects. While the model-based approach is found viable to tackle both issues, it is often undermined by an inadequate number of labeled samples, to capture all plausible variations. To address segmentation problems by balancing between accuracy, resource consumption, and data availability, this paper presents an efficient method for liver segmentation based on a graph-cut algorithm. One of its main novelties is the incorporation of a feature preserving a metric for boundary separation. Intuitive anatomical constraints are imposed to ensure valid extraction. The second part involves the symmetric conformal parameterization of the extracted liver surface onto a genus-0 domain. Provided with a few landmarks specified on two livers, we demonstrated that, by using a modified Beltrami differential, not only could they be non-rigidly registered, but also the hepatectomy on one liver could be envisioned on another. The merits of the proposed scheme were elucidated by both visual and numerical assessments on a standard MICCAI SLIVER07 dataset.

Recent advances in computerized imaging and its vital roles in liver disease diagnosis, preoperative planning, and interventional liver surgery: A review

“…Based on these datasets, a number of computerized methods were proposed to delineate a liver and benchmarked. Examples of the recent results are summarized in Table 1 [ 28 - 34 ]. Note that these studies may employ different accuracy metrics, e.g.…”

“…, at initialization[ 23 , 41 ], during the process[ 42 , 43 ], in final adjustment[ 23 ], or with a combination thereof. The recent works are summarized in Table 2 [ 21 , 28 , 41 , 43 - 46 ].…”

“…To adopt VR and AR in hepatobiliary surgery, one has to confront the technical challenges of continuously coregistering the computer-generated models to a mobile liver with significant tissue deformation. To address this issue, a recent study[ 28 ], for example, applied conformal parameterization to an extracted liver surface. With this technique, the triangle mesh of genus-0 of the surface was mapped onto its topological homeomorphism[ 138 ].…”

Multimodal Fusion of Deeply Inferred Point Clouds for 3D Scene Reconstruction Using Cross-Entropy ICP

“…Passing through any other point, light rays would deflect toward to or away from the optical center, c. In the calibration, these parameters were defined by a 33 camera matrix in the homogeneous coordinates, as expressed in Eq. (3).…”

“…[1] For instance, in computer aided diagnosis (CAD), 3D information on an anatomical shape and its peripherals, possibly with associated lesions, reconstructed from the tomographic scan of a patient [2], are of great clinical values. Presented with this information, a physician can make accurate diagnosis and prognosis of the disease, as well as can perform therapeutic intervention [3]. In remote sensing (RS), a digital elevation model (DEM) is used to assess topographic properties of an underlying terrain.…”