3D Model Generation of Patient Specific Liver with Pancreas and Portal Veins

Rahul Arora | Parveen Kalra ^[6] | Rajesh Madan

Abstract: Recent days Computer-aided design and image processing techniques are one of the most emerging useful tools for analysis of models in various medical; industrial and research areas. In medical field; the diagnosis of various diseases in vivo techniques including biochemical test; enzymatic tests are needed for continuous monitoring of patients. These diagnosis procedures are time consuming and inconvenient for patients. Therefore Computer assisted designing and image processing techniques are most promising non invasive tools for faster diagnosis and are useful for designing of biomedical implants. In this paper liver; pancreas and portal veins are segmented from patients Liver computed tomography (CT) image by dedicated software. A Livers CT images of 38 year old Indian male patients were collected and by using imaged based software MIMICS (Materialises Interactive Medical Image Control System; Belgium) a steriolithography (STL) file of patient specific liver with pancreas is generated. These models can be used for designing of implants and analysis of portal veins disorder like portal thrombosis; and portal aneurysm which are main cause of portal hypertension and also useful for surgeon for planning surgery. Moreover they can be helpful for understanding of portal vein hemodynamic. The motivation behind this paper is to improve existing methods and to apply new techniques to solve a number of typical segmentation problems in medical imaging. Even though the results are promising; more research is needed before reliable analysis of medical volume data can be performed. The contributions in this paper; however; are noticeable and represent a step forward in deriving complete automatic procedures for segmentation of medical volume data. The aim of this study was to create patient specific CAD models of normal- as well as diseased hepatic portal vein (HPV) ; liver and pancreas from the standard CT image of liver of an individual using dedicated image processing software.

Keywords: MIMICS, STL, DICOM, SEGMENTATION, 3D LIVEWIRE

Edition: Volume 3 Issue 5, May 2014,

Pages: 1875 - 1878