Volume Subtraction Method Using Dual Reconstruction and Additive Technique for Pulmonary Artery/Vein 3DCT Angiography

Journal of Medical Imaging and Health Informatics Pub Date : 2022-03-01 DOI:10.1166/jmihi.2022.394

Yoshinori Tanabe, Yuka Tanaka, H. Nagata, Reina Murayama, T. Ishida

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引用次数: 0

Abstract

This study aimed to develop a method for pulmonary artery and vein (PA/PV) separation in three-dimensional computed tomography (3DCT), using a dual reconstruction technique and the addition of CT images. The physical image properties of multiple reconstruction kernels (FC13; FC13 3D-Q03; FC30 3D-Q03; FC83; FC13 twofold addition; FC13 threefold addition; FC13 fourfold addition; FC13 [3D-Q03] twofold addition; FC13+FC30 (3D-Q03); FC13+FC83) were evaluated based on spatial resolution using a modulation transfer function. The lung kernel CT image (FC 83) had a high spatial resolution with a 10% modulation transfer function (0.847). The noise power spectrum of the additive CT images was measured, and the CT values for the PA/PV with and without addition were compared. The addition of CT images increased the CT values difference between the PA/PV. The PA/PV 3DCT angiography (PA/PV 3DCTA), even with a small difference in CT values, could be effectively separated using high spatial resolution kernel CT and the addition of CT images dedicated to subtraction. This novel, simple method could create PA/PV 3DCTA using a general CT scanner and 3D workstation that can be easily performed at any facility.

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双重建加性技术在肺动脉/静脉3DCT血管造影中的体积减影方法

本研究旨在建立一种三维计算机断层扫描(3DCT)中肺动脉和肺静脉(PA/PV)分离的方法，该方法采用双重重建技术和CT图像的添加。多重构核的物理图像属性(FC13;FC13 3 d-q03;FC30 3 d-q03;FC83;FC13双加;FC13三倍添加;FC13四倍加法;FC13 [3D-Q03]二次添加;FC13 + FC30 (3 d-q03);利用调制传递函数对FC13+FC83的空间分辨率进行评价。肺核CT图像(FC 83)空间分辨率高，调制传递函数为10%(0.847)。测量加性CT图像的噪声功率谱，比较加性前后PA/PV的CT值。CT图像的添加增加了PA/PV的CT值差。PA/PV 3DCT血管造影(PA/PV 3DCTA)，即使CT值相差很小，也可以通过高空间分辨率核CT和添加专用减影的CT图像进行有效分离。这种新颖、简单的方法可以使用普通CT扫描仪和3D工作站创建PA/PV 3DCTA，可以在任何设施轻松完成。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Medical Imaging and Health Informatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas. As an example, the Distributed Diagnosis and Home Healthcare (D2H2) aims to improve the quality of patient care and patient wellness by transforming the delivery of healthcare from a central, hospital-based system to one that is more distributed and home-based. Different medical imaging modalities used for extraction of information from MRI, CT, ultrasound, X-ray, thermal, molecular and fusion of its techniques is the focus of this journal.