Scopes and Utilization of Tomographic Images in Drug Development, Issues and Challenges: A Short Review

Altaf Khan

 

Abstract

To assess the mathematical and statistical issues related with acquired images, and to make inferences in diagnostic detection based on general linear models(GLM) for each and every pixel/voxel of the tomograms, in addition multiple comparison as well as sample size and power issues will be outlined. The steps involved range from tomographics image reconstruction to statistical inferences:
A. Image Data Acquisition: X-Ray CT, SPECT, PET, MRI and combined modalities such as: PET-CT, PET-MRI, etc.,
B. Image Segmentation: Automation, Validation and Reproducibility
C. Feature Extraction: Automatic Extraction, Reproducibility and Low Redundancy and
D. Mathematical and Statistical Analysis and Database: Clinical and Research PACS System, Storage and Sharing of Reports and Annotations, Integration and of Clinical, Genomics and Imaging Database, Analysis. The overall drug development process is shown in figure 1.

Published on: May 20, 2020
doi: 10.17756/micr.2020-044
Citation: Khan A. 2020. Scopes and Utilization of Tomographic Images in Drug Development, Issues and Challenges: A Short Review. J Med Imaging Case Rep 4(1): 29-34.

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