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Tomography, Volume 10, Issue 5

May 2024 - 14 articles

Cover Story: Accurate AIFs are critical for quantifying dynamic imaging studies to obtain quantitative parameters. The AIF from cardiac MRI for myocardial perfusion studies can be inaccurate due to nonlinear gadolinium effects and scan biases. Previous work input the inaccurate AIF into a deep network to correct these effects. This study proposes using AIF plus tissue time curves as inputs to a Bi-LSTM network to correct the AIF in quantitative dynamic contrast-enhanced myocardial perfusion studies. Simulated and hybrid data were used to develop, train, and evaluate the approach. Better results were obtained by including tissue curves. If quantitative myocardial perfusion measurements can be obtained without the acquisition or analysis of a dual bolus or dual sequence, this simplifies quantitative perfusion and can aid in its adoption. View this paper

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Articles (14)

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Article

1 Citations

2,639 Views

12 Pages

Comprehensive CT Imaging Analysis of Primary Colorectal Squamous Cell Carcinoma: A Retrospective Study

Eun Ju Yoon,
Sang Gook Song,
Jin Woong Kim,
Hyun Chul Kim,
Hyung Joong Kim,
Young Hoe Hur and
Jun Hyung Hong

Tomography2024, 10(5), 674-685;https://doi.org/10.3390/tomography10050052

1 May 2024

The aim of this study was to evaluate the findings of CT scans in patients with pathologically confirmed primary colorectal squamous-cell carcinoma (SCC). The clinical presentation and CT findings in eight patients with pathologically confirmed prima...

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Article

1 Citations

1,877 Views

14 Pages

Arterial Input Function (AIF) Correction Using AIF Plus Tissue Inputs with a Bi-LSTM Network

Qi Huang,
Johnathan Le,
Sarang Joshi,
Jason Mendes,
Ganesh Adluru and
Edward DiBella

Tomography2024, 10(5), 660-673;https://doi.org/10.3390/tomography10050051

30 April 2024

Background: The arterial input function (AIF) is vital for myocardial blood flow quantification in cardiac MRI to indicate the input time–concentration curve of a contrast agent. Inaccurate AIFs can significantly affect perfusion quantification...

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Brief Report

1 Citations

1,781 Views

6 Pages

Advanced Imaging of Shunt Valves in Cranial CT Scans with Photon-Counting Scanner

Anna Klempka,
Eduardo Ackermann,
Stefanie Brehmer,
Sven Clausen and
Christoph Groden

Tomography2024, 10(5), 654-659;https://doi.org/10.3390/tomography10050050

25 April 2024

This brief report aimed to show the utility of photon-counting technology alongside standard cranial imaging protocols for visualizing shunt valves in a patient’s cranial computed tomography scan. Photon-counting CT scans with cranial protocols...

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Article

4 Citations

2,383 Views

11 Pages

Optimizing CT Abdomen–Pelvis Scan Radiation Dose: Examining the Role of Body Metrics (Waist Circumference, Hip Circumference, Abdominal Fat, and Body Mass Index) in Dose Efficiency

Huda I. Almohammed,
Wiam Elshami,
Zuhal Y. Hamd and
Mohamed Abuzaid

Tomography2024, 10(5), 643-653;https://doi.org/10.3390/tomography10050049

24 April 2024

Objective: This study investigates the correlation between patient body metrics and radiation dose in abdominopelvic CT scans, aiming to identify significant predictors of radiation exposure. Methods: Employing a cross-sectional analysis of patient d...

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