Computerized planning of liver surgery—an overview

Meinzer, Hans-Peter; Thorn, Matthias; Cárdenas, Eugenio

doi:10.1016/s0097-8493(02)00102-4

Cited by 83 publications

(40 citation statements)

References 8 publications

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“…The computerized planning of liver surgery has an enormous impact on the selection of the therapeutic strategy [1]. Based on pre-operative analysis of image data, it provides an individual impression of tumor location, the exact structure of the vascular system and an identifiction of liver segments.…”

Section: Introductionmentioning

confidence: 99%

Active Shape Models for a Fully Automated 3D Segmentation of the Liver – An Evaluation on Clinical Data

Heimann

Wolf

Meinzer

2006

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

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Abstract. This paper presents an evaluation of the performance of a three-dimensional Active Shape Model (ASM) to segment the liver in 48 clinical CT scans. The employed shape model is built from 32 samples using an optimization approach based on the minimum description length (MDL). Three different gray-value appearance models (plain intensity, gradient and normalized gradient profiles) are created to guide the search. The employed segmentation techniques are ASM search with 10 and 30 modes of variation and a deformable model coupled to a shape model with 10 modes of variation. To assess the segmentation performance, the obtained results are compared to manual segmentations with four different measures (overlap, average distance, RMS distance and ratio of deviations larger 5mm). The only appearance model delivering usable results is the normalized gradient profile. The deformable model search achieves the best results, followed by the ASM search with 30 modes. Overall, statistical shape modeling delivers very promising results for a fully automated segmentation of the liver.

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Section: Introductionmentioning

confidence: 99%

Active Shape Models for a Fully Automated 3D Segmentation of the Liver – An Evaluation on Clinical Data

Heimann

Wolf

Meinzer

2006

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

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“…In addition the transmission of a preoperative resection plan to the patient in the OR is possible. Several systems have been developed for liver surgery planning in the last couple of years [3,4,5]. But the precise implementation of the plan in the OR is still an open problem.…”

Section: Introductionmentioning

confidence: 99%

Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery

Lange

Eulenstein

Hünerbein

et al. 2004

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

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Abstract.Organ deformation between preoperative image data and the patient in the OR is the main obstacle for using surgical navigation systems in liver surgery. Our approach is to provide accurate navigation via intraoperative 3D ultrasound. These ultrasound data are augmented with preoperative anatomical models and planning data as an important additional orientation aid for the surgeon. We present an overview of the whole ultrasound navigation system as well as an approach for fast intraoperative non-rigid registration of the preoperative models to the ultrasound volume. The registration method is based on the vessel center lines and consists of a combination of the Iterative Closest Point algorithm and multilevel B-Splines. Quantitative results for three different patients are presented.

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“…Using the computer-based operation planning system developed in Heidelberg it is possible to preoperatively and non-invasively analyse individual anatomy (Glombitza, 1998;Meinzer, 2002). The image data consists of contrasting agent enhanced CT images.…”

Section: Methodsmentioning

confidence: 99%

Computer-Based Surgery Planning for Living Liver Donation

et al. 2004

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ABSTRACT:The aim of this project is computer-based planning of a partial organ resection for three dimensional visualisation of anatomical structures and volumetric estimations. Using quantitative parameters for the estimation of the operation risk, the selection of patients can be further objectified. Another important effect of this project is support for surgical interventions by predefinition of different operation scenarios. All preoperative analysis results are based on tomographic images acquired during the clinical routine. In the end, the integration of planning results into the operation theater as well as into the clinical workflow is part of this project. Surgical strategy is determined by the exact location of the tumor, the respective donor liver part, and the proximity of supporting and draining vessels. Depending on the acquired images, the portal, hepatic, arterial and biliary systems may be analyzed. Therefore, fundamentals for the qualitative and quantitative analysis of images have been developed and implemented since the beginning of the project. The qualitative aspects are, e.g., the three dimensional visualisation of vessel structures, tumors, the security margin and the organ itself. These were evaluated for use in the clinical routine. Preoperatively, the operation strategy is planned by segmenting the important anatomical structures and defining the different vessel systems using a special operation planning software. The visualisation and volumetric results can be visualised and adapted during surgical intervention with the help of a beamer and a touchscreen monitor installed above the patient. In living donor liver transplantation (LDLT) the most important factor is to ensure that the anatomy of the donor patient allows surgical splitting of the liver. Also, a volumetric analysis of the donor liver is of interest to achieving less complicated surgery. Actually, all LDLTs performed in our Surgical Clinic are supported by this operation planning system.

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Computerized planning of liver surgery—an overview

Cited by 83 publications

References 8 publications

Active Shape Models for a Fully Automated 3D Segmentation of the Liver – An Evaluation on Clinical Data

Active Shape Models for a Fully Automated 3D Segmentation of the Liver – An Evaluation on Clinical Data

Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery

Computer-Based Surgery Planning for Living Liver Donation

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