MED-PHCVFeb 4, 2019

Detection of perfusion ROI as a quality control in perfusion analysis

arXiv:1902.01855v16 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a domain-specific quality control issue in medical imaging for radiologists, but it appears incremental as it focuses on an existing assessment step.

The paper tackled the problem of automating perfusion analysis by detecting perfusion regions of interest (ROI) to assess map quality, aiming to reduce time-consuming tasks for radiologists, but no concrete results or numbers are provided.

In perfusion analysis automated approaches for image processing is preferable due to reduce time-consuming tasks for radiologists. Assessment of perfusion results quality is important step in development of algorithms for automated processing. One of them is an assessment of perfusion maps quality based on detection of perfusion ROI.

Foundations

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