Configurable real-time motion estimation for medical imaging: application to X-ray and ultrasound

Abramov, Nikolai; Fradkin, Maxim; Rouet, Laurence; Wischmann, H.‐A.

doi:10.1007/s11554-015-0543-1

Cited by 4 publications

(2 citation statements)

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“…The lung respiration motion has been studied to estimate focus movement for accurate diagnosis and interventional/non-invasive therapy [4], [5]. Over the past few years, there has been significant interest in respiratory motion tracking management using medical imaging devices such as ultrasound tomography (UT), positron emission tomography (PET), computed tomography (CT) and magnetic resonance imaging(MRI) [6]- [10]. Due to the low imaging speed or radiological hazard of traditional imaging techniques, the common method is to evaluate the motion based on several specific statuses during the breathing cycle, e.g.…”

Section: Take Down Policymentioning

confidence: 99%

Exploring Respiratory Motion Tracking Through Electrical Impedance Tomography

Wang

et al. 2021

IEEE Trans. Instrum. Meas.

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Motion tracking is an effective approach for the management of respiratory motion during the medical imaging process, which has always been a major concern in diagnostic imaging, interventional, and non-invasive therapy. However, the low imaging speed of traditional medical imaging techniques limits the practical application of real-time motion tracking. Electrical impedance tomography (EIT) is proved to be an effective tool for continuous monitoring of lung activity/status. However, the respiratory motion has never been studied in the medical EIT field before. In this paper, preliminary research of lung movement during the respiratory process is first studied based on EIT. Multi-ring electrode thorax models under different respiratory statuses were constructed to obtain simulation data of EIT. A modified TV algorithm is used for the estimation of lung volume and movement based on 3D EIT images, which improve the quality of reconstruction by approximately 30% and 20% compared with the traditional Tikhonov method and the total variation (TV) method, respectively. Both simulations and experiments were conducted to show the potential of respiratory motion tracking through 3D EIT reconstruction.

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Section: Take Down Policymentioning

confidence: 99%

Exploring Respiratory Motion Tracking Through Electrical Impedance Tomography

Wang

et al. 2021

IEEE Trans. Instrum. Meas.

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“…Therefore, the main preferred inspection for screening is ultrasonography. Here, the radiologist also described that the texture of the body tissues gave a significant visible property in the classification of results in their radiological importance [12][13][14]. Texture of an image can be categorized by coarseness, roughness, granulation in surface, randomness, and irregularity.…”

Section: Introductionmentioning

confidence: 99%

Detection of cirrhosis through ultrasound imaging by intensity difference technique

Aggarwal

Bhamrah

Ryait³

2019

J Image Video Proc.

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Cirrhosis is a liver disease that is considered to be among the most common diseases in healthcare. Due to its noninvasive nature, ultrasound (US) imaging is a widely accepted technology for the diagnosis of this disease. This research work proposed a method for discriminating the cirrhotic liver from normal liver through US images. The liver US images were obtained from the radiologist. The radiologist also specified the region of interest (ROI) from these images, and then the proposed method was applied to it. Two parameters were extracted from the US images through differences in intensity of neighboring pixels. Then, these parameters can be used to train a classifier by which cirrhotic region of test patient can be detected. A 2-D array was created by the difference in intensity of the neighboring pixels. From this array, two parameters were calculated. The decision was taken by checking these parameters. The validation of the proposed tool was done on 80 images of cirrhotic and 30 images of normal liver, and classification accuracy of 98.18% was achieved. The result was also verified by the radiologist. The results verified its possibility and applicability for high-performance cirrhotic liver discrimination.

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