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Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
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Related Experiment Video

Updated: Feb 18, 2026

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
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Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

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[Novel Perfusion Evaluation Method Using Phase-ratio Image Map in Head 4D-CT].

Tomomi Ohmura1,2, Yongbum Lee2, Noriyuki Takahashi1

  • 1Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita.

Nihon Hoshasen Gijutsu Gakkai Zasshi
|November 21, 2017
PubMed
Summary
This summary is machine-generated.

A novel phase-ratio image (PI) map for assessing cerebrovascular disease shows strong correlation with PET-cerebral blood flow, offering a software-independent alternative to conventional CT perfusion maps.

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Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • CT perfusion (CTP) is crucial for cerebrovascular disease assessment.
  • CTP map variability exists due to software and algorithm differences.
  • A novel phase-ratio image (PI) map was developed independent of CTP software.

Purpose of the Study:

  • To evaluate the clinical utility of the PI map.
  • To compare PI map performance against positron emission tomography (PET) imaging.

Main Methods:

  • Twenty patients with unilateral steno-occlusive disease underwent dynamic multiphase CTP.
  • PI maps were generated by dividing delayed-phase images by early-phase images.
  • PI map validity was assessed by comparing it with PET-cerebral blood flow (CBF) and conventional CTP-CBF.

Main Results:

  • A strong correlation (R=0.82) was observed between the PI map and PET-CBF.
  • Conventional CTP-CBFs showed weaker correlations (R=0.30, R=0.62) with PET-CBF.
  • The PI map demonstrated a relative error within 10% compared to PET-CBF.

Conclusions:

  • The PI map provides perfusion evaluation similar to PET-CBF.
  • The PI map is independent of CTP software, ensuring consistent results.
  • The PI map offers a robust and simple alternative to conventional CTP mapping methods.