Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images

被引：7

作者：

Sarmah, Mriganka ^{[1
]}

Neelima, Arambam ^{[1
]}

Singh, Heisnam Rohen ^{[2
]}

机构：

[1] Natl Inst Technol, Dept Comp Sci & Engn, Dimapur 797103, Nagaland, India

[2] Nagaland Univ, Dept Informat Technol, Dimapur 797112, Nagaland, India

来源：

VISUAL COMPUTING FOR INDUSTRY BIOMEDICINE AND ART | 2023年 / 6卷 / 01期

关键词：

Three-dimensional reconstruction; Human organ; Medical images; STATISTICAL SHAPE MODELS; 3D RECONSTRUCTION; COMPUTED-TOMOGRAPHY; LEARNING FRAMEWORK; EDGE-DETECTION; SEGMENTATION; LUNG; SPINE; TUMOR; REGISTRATION;

D O I：

10.1186/s42492-023-00142-7

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Three-dimensional (3D) reconstruction of human organs has gained attention in recent years due to advances in the Internet and graphics processing units. In the coming years, most patient care will shift toward this new paradigm. However, development of fast and accurate 3D models from medical images or a set of medical scans remains a daunting task due to the number of pre-processing steps involved, most of which are dependent on human expertise. In this review, a survey of pre-processing steps was conducted, and reconstruction techniques for several organs in medical diagnosis were studied. Various methods and principles related to 3D reconstruction were highlighted. The usefulness of 3D reconstruction of organs in medical diagnosis was also highlighted.

引用

页数：19

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