A New Technique of Flow Voids Segmentation on MRI Image for Cerebrovascular Disease

Tajudin, Amin Sabirin; Isa, Iza Sazanita; Soh, Zainal Hisham Che; Sulaiman, Siti Noraini; Karim, Noor Khairiah A.; Shuaib, Ibrahim Lutfi

doi:10.1109/icsengt.2018.8606365

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…However, a CT scan is preferred because it is easy to use and provides accurate classification and foreign mass location [3]. Besides, the use of MRI is expensive and less available than CT scans and time-consuming diagnostics [12]. The CT image is used to record images and for the radiologists to perform diagnoses.…”

Section: Introductionmentioning

confidence: 99%

A new procedure for lung region segmentation from computed tomography images

Abdullah

Sulaiman²,

Osman³

et al. 2022

IJECE

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<span lang="EN-US">Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this research is to establish an image processing method for lung cancer detection. This paper focuses on lung region segmentation from computed tomography (CT) scan images. In this work, a new procedure for lung region segmentation is proposed. First, the lung CT scan images will undergo an image thresholding stage before going through two morphological reconstruction and masking stages. In between morphological and masking stages, object extraction, border change, and object elimination will occur. Finally, the lung field will be annotated. The outcomes of the proposed procedure and previous lung segmentation methods i.e., the modified watershed segmentation method is compared with the ground truth images for performance evaluation that will be carried out both in qualitative and quantitative manners. Based on the analyses, the new proposed procedure for lung segmentation, denotes better performance, an increment by 0.02% to 3.5% in quantitative analysis. The proposed procedure produced better-segmented images for qualitative analysis and became the most frequently selected method by the 22 experts. This study shows that the outcome from the proposed method outperforms the existing modified watershed segmentation method.</span>

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Section: Introductionmentioning

confidence: 99%

A new procedure for lung region segmentation from computed tomography images

Abdullah

Sulaiman²,

Osman³

et al. 2022

IJECE

Self Cite

View full text Add to dashboard Cite

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Application of Computer Image Transformation Technology in Fashion Design

Yang¹

2023

Lecture Notes on Data Engineering and Communications Technologies

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Hypersensitive MR angiography based on interlocking stratagem for diagnosis of cardiac-cerebral vascular diseases

Zhang,

Cheng,

et al. 2023

Nat Commun

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Magnetic resonance (MR) angiography is one of the main diagnostic approaches for cardiac-cerebral vascular diseases. Nevertheless, the non-contrast-enhanced MR angiography suffers from its intrinsic problems derived from the blood flow-dependency, while the clinical Gd-chelating contrast agents are limited by their rapid vascular extravasation. Herein, we report a hypersensitive MR angiography strategy based on interlocking stratagem of zwitterionic Gd-chelate contrast agents (PAA-Gd). The longitudinal molar relaxivity of PAA-Gd was 4.6-times higher than that of individual Gd-chelates as well as appropriate blood half-life (73.8 min) and low immunogenicity, enabling sophisticated micro-vessels angiography with a resolution at the order of hundred micrometers. A series of animal models of cardiac-cerebrovascular diseases have been built for imaging studies on a 7.0 T MRI scanner, while the clinical translation potential of PAA-Gd has been evaluated on swine on a 3.0 T clinical MRI scanner. The current studies offer a promising strategy for precise diagnosis of vascular diseases.

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A New Technique of Flow Voids Segmentation on MRI Image for Cerebrovascular Disease

Cited by 3 publications

References 27 publications

A new procedure for lung region segmentation from computed tomography images

A new procedure for lung region segmentation from computed tomography images

Application of Computer Image Transformation Technology in Fashion Design

Hypersensitive MR angiography based on interlocking stratagem for diagnosis of cardiac-cerebral vascular diseases

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