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MultiResolution 3D Magnetic Resonance Imaging Analysis for Prostate Cancer Imaging

Published: 13 May 2024 Publication History

Abstract

This paper offers a multi-resolution three-D magnetic resonance imaging (MRI) analysis approach used in prostate cancer imaging. The approach uses stringent pre-processing steps to create a consistent volumetric photo from the MRI scans, which is crucial for appropriately reading the prostate before and throughout the remedy. Automatic strategies were advanced to delineate the numerous prostate tissue training in a 3-D extent, as well as to identify suspicious lesions. Additionally, registration techniques are carried out on the MRI scans to facilitate longitudinal analysis for compliance with-up research. The defined method has been substantially evaluated on MRI records from the Prostate cancer basis, Morgan Stanley Kids's clinic Columbia, and the national Prostate MRI Consortium datasets. It has been proven to improve the accuracy of the evaluation as compared to previous techniques, for this reason, allowing radiologists to offer higher diagnosis and extra customized remedy plans. Multi-resolution three-D magnetic resonance imaging (MRI) evaluation is a powerful tool for analyzing most prostate cancers. It gives a non-invasive and quantitative method for taking pictures of disease biomarkers related to prostate cancer. MRI can generate high-decision pix of the prostate in three dimensions (3-d). It permits the buildup of volumetric datasets or “voxelized” datasets of prostate anatomy. The MRI datasets can be subdivided into smaller datasets on extraordinary scales (“multi-decision” datasets), enhancing the sensitivity and specificity of prostate cancer imaging.

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ICIMMI '23: Proceedings of the 5th International Conference on Information Management & Machine Intelligence
November 2023
1215 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 13 May 2024

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Author Tags

  1. Image Analysis
  2. Multi-resolution imaging
  3. Prostate Cancer,Three-dimensional imaging

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