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Tomography, Volume 11, Issue 9

September 2025 - 12 articles

Cover Story: Several sequences for magnetization transfer contrast (MTC) imaging are available, ranging from quantitative magnetization transfer (qMT) that yields the macromolecular fraction to simple ratios of signal intensities with and without a magnetization transfer (MT) pulse. Aging muscle undergoes changes including an increase in fibrosis and fiber atrophy; the objective is to evaluate five MTC sequences to study age-related differences in muscle tissue composition. Significant age-related decreases in macromolecular fraction, MT_sat, MTR, and MTR_corr were identified. Age-related decreases in MTC may reflect that loss of myofibrillar proteins dominates the increase in collagen with age. The MT_sat sequence was identified as clinically relevant in terms of scan time and sensitivity to age-related differences in macromolecular fraction. View this paper

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Article

974 Views

15 Pages

Electron Density and Effective Atomic Number of Normal-Appearing Adult Brain Tissues: Age-Related Changes and Correlation with Myelin Content

Tomohito Hasegawa,
Masanori Nakajo,
Misaki Gohara,
Kiyohisa Kamimura,
Tsubasa Nakano,
Junki Kamizono,
Koji Takumi,
Fumitaka Ejima,
Gregor Pahn and
Eran Langzam
+ 4 authors

Tomography2025, 11(9), 95;https://doi.org/10.3390/tomography11090095

25 August 2025

Objectives: Few studies have reported in vivo measurements of electron density (ED) and effective atomic number (Zeff) in normal brain tissue. To address this gap, dual-energy computed tomography (DECT)-derived ED and Zeff maps were used to character...

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1,075 Views

12 Pages

Performance of a Deep Learning Reconstruction Method on Clinical Chest–Abdomen–Pelvis Scans from a Dual-Layer Detector CT System

Christopher Schuppert,
Stefanie Rahn,
Nikolas D. Schnellbächer,
Frank Bergner,
Michael Grass,
Hans-Ulrich Kauczor,
Stephan Skornitzke,
Tim F. Weber and
Thuy D. Do

Tomography2025, 11(9), 94;https://doi.org/10.3390/tomography11090094

25 August 2025

Objective: The objective of this study was to compare the performance and robustness of a deep learning reconstruction method against established alternatives for soft tissue CT image reconstruction. Materials and Methods: Images were generated from...

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