Quantitative CT imaging: where are we, and what is missing?

Quantitative computed tomography (CT) enables the measurement of biophysical processes characterized by morphology, composition, flow, and/or motion to aid in clinical diagnosis and intervention. Since its initial application for determining bone mineral density for skeletal fragility assessment, quantitative CT has continued to evolve alongside CT's technological advancements. A key challenge facing quantitative CT is the lack of standardization pertinent to image acquisition, reconstruction, and image analysis. With the introduction of spectral CT involving dual-energy approaches and photon-counting detectors (PCD), we are now able to obtain detailed information regarding mass densities of endogenous and exogeneous materials. Furthermore, energy-resolved CT yields spectral image types (eg, virtual monoenergetic image) that are, in principle, independent of tube potential and patient size. This paves the way for workflow standardization and helps improve the consistency and reproducibility of CT-derived measurements. In this article, we review clinical applications of quantitative CT, discuss key challenges associated with quantitative CT and its adoption into routine practice, and outline the unique benefits ushered by new CT technologies such as PCD-CT towards improving quantitative imaging.

Authors

Institutions

Publication Details

Journal
British Journal of Radiology
Published
2025-04-07
DOI
https://doi.org/10.1093/bjr/tqaf075
Citations
4
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
2.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative CT imaging: where are we, and what is missing?

Kevin Treb, Kishore Rajendran, Joel G. Fletcher, Prabhakar Shantha Rajiah et al.
4 citations
British Journal of Radiology
Advanced X-ray and CT Imaging
2.70
article

Quantitative CT imaging: where are we, and what is missing?

Kevin Treb, Kishore Rajendran, Joel G. Fletcher, Prabhakar Shantha Rajiah, Lifeng Yu, Francis Baffour, Cynthia H. McCollough, Ahmed O El Sadaney, Shuai Leng, Andrea Ferrero
article en
4 citations

Abstract

Quantitative computed tomography (CT) enables the measurement of biophysical processes characterized by morphology, composition, flow, and/or motion to aid in clinical diagnosis and intervention. Since its initial application for determining bone mineral density for skeletal fragility assessment, quantitative CT has continued to evolve alongside CT's technological advancements. A key challenge facing quantitative CT is the lack of standardization pertinent to image acquisition, reconstruction, and image analysis. With the introduction of spectral CT involving dual-energy approaches and photon-counting detectors (PCD), we are now able to obtain detailed information regarding mass densities of endogenous and exogeneous materials. Furthermore, energy-resolved CT yields spectral image types (eg, virtual monoenergetic image) that are, in principle, independent of tube potential and patient size. This paves the way for workflow standardization and helps improve the consistency and reproducibility of CT-derived measurements. In this article, we review clinical applications of quantitative CT, discuss key challenges associated with quantitative CT and its adoption into routine practice, and outline the unique benefits ushered by new CT technologies such as PCD-CT towards improving quantitative imaging.

British Journal of RadiologyVol. 98(1175)
Mayo Clinic (US), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US)
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced X-ray and CT Imaging
2.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantitative CT imaging: where are we, and what is missing? — Kevin Treb, Kishore Rajendran, et al. · British Journal of Radiology (2025) | TGRS Research Map | TGRS