期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2022
卷号：4
期号：4
页码：931-936
DOI：10.35629/5252-0404706716
语种：English
出版社：IJAEM JOURNAL
摘要：Since 2D image data never gave the actual visualization of patient’s morphology in medical imaging, the doctors were detoured from the exact location of medical diagnosis which caused a lot of perplexity. Time and again, doctors only had the 2D Image Data to Doctors frequently used 2D Image Data to visualise the internals of a blood artery in medical imaging, which never accurately depicted how a plague would appear. They were unable to see the blood vessel in detail, and the quantity of clog that needed to be removed through surgery was unknown. The variety and complexity of medical image data, whether ultrasound, CT, or magnetic resonance imaging, makes detecting obstructions extremely difficult. Many reconstruction approaches necessitate establishing the link between image slices. The results of these traditional techniques are very reliant on a variety of factors. As a result, constructing a model that accounts for all possible backdrop and foreground combinations is a difficult task. This is a difficult and timeconsuming task, and successful repair is improbable. A detailed three-dimensional (3-D) representation of the internal organs is required for diagnostic and therapeutic applications. As a result, this research provides an overview of novel approaches to converting 2D images. A thorough examination of existing methods and techniques for 2D to 3D reconstruction and modelling of medical images was conducted using various medical imaging techniques such as ultrasound, CT, and magnetic resonance imaging (MRI)in order to identify methodsthat can produce reliable and promising results.
