An Enhanced SMART-RECON Algorithm for Time-Resolved C-Arm Cone-Beam CT Imaging

Li, Yinsheng; Garrett, John W.; Li, Ké; Strother, Charles M.; Chen, Guang‐Hong

doi:10.1109/tmi.2019.2960720

Cited by 9 publications

(5 citation statements)

References 32 publications

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“…In order to reduce the harm of X-rays to the human body, the CT image is reconstructed, the ROI projection data is used to increase or decrease the projection data of the region of interest (ROI), and the constructor is used to reconstruct the overall or partial image [ 20 ]. For the convolutional backprojection calculation of image reconstruction, the ROI area can be selected, and it is not necessary to scan the whole to obtain all the projection data [ 21 , 22 ]. Based on the above research, in this study, the FBP algorithm was used to reconstruct CT images, and different ways of nursing were adopted in the two groups, to discuss the influence of different nursing methods on the patient condition, expected to provide a basis for the diagnosis and treatment of diabetes complicated with tuberculosis.…”

Section: Introductionmentioning

confidence: 99%

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing

Hong¹,

Lin

Chen³

et al. 2021

Computational and Mathematical Methods in Medicine

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The study was aimed at exploring the application value of the CT image based on a filtered back projection (FBP) algorithm in the diagnosis of patients with diabetes complicated with tuberculosis and at analyzing the influence of dietary nursing on patients with diabetes complicated with tuberculosis. In this study, the FBP algorithm was used to optimize CT images to effectively obtain reconstructed ROI images. Then, the deviation from measurement values of reconstructed images at different pixel levels was analyzed. 138 patients with diabetes complicated with tuberculosis were selected as research subjects to compare the number of lung segments involved and the CT imaging manifestations at different fasting glucose levels. All patients were divided into the control group (routine drug treatment) and observation group (diet intervention on the basis of drug treatment) by random number table method, and the effect of different nursing methods on the improvement of patients’ clinical symptoms was discussed. The results showed that the distance measurement value decreased with the increase in pixel level, there was no significant difference in the number of lung segments involved in patients with different fasting glucose levels ( P > 0.05 ), and there were statistically significant differences in the incidence of segmental lobar shadow, bronchial air sign, wall-less cavity, thick-walled cavity, pulmonary multiple cavity, and bronchial tuberculosis in patients with different fasting glucose levels ( P < 0.05 ). Compared with the control group, 2 h postprandial blood glucose level in the observation group was significantly improved ( P < 0.05 ), there was a statistical significance in the number with reduced pleural effusion and the number with reduced tuberculosis foci in the two groups ( P < 0.05 ), and the level of hemoglobin in the observation group was 7.1 ± 1.26 , significantly lower than that in the control group ( 8.91 ± 2.03 , P < 0.05 ). It suggested that the changes of CT images based on the FBP reconstruction algorithm were correlated with fasting blood glucose level. Personalized diet nursing intervention can improve the clinical symptoms of patients, which provides a reference for the clinical diagnosis and treatment of patients with diabetes complicated with tuberculosis.

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Section: Introductionmentioning

confidence: 99%

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing

Hong¹,

Lin

Chen³

et al. 2021

Computational and Mathematical Methods in Medicine

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“…In this work, the translation stage was programmed to move 4.2 mm (same as the PCD z-coverage at isocenter) each time to enable seamless scanning of the image object for a total z-coverage of 4.2 cm with 10 sweeps taking 80 seconds (including gantry rest time). Although this acquisition time is much greater than one single 7 s rotation, it is comparable to the acquisition time of FPD-CBCT perfusion imaging (Niu et al 2016, Li et al 2020.…”

Section: Multi-sweep Step-and-shoot Pcd-ct Acquisition Methodsmentioning

confidence: 94%

A C-arm photon counting CT prototype with volumetric coverage using multi-sweep step-and-shoot acquisitions

Treb¹,

Ji²,

Feng³

et al. 2022

Phys. Med. Biol.

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Objective: Existing clinical C-arm interventional systems use scintillator-based energy-integrating flat panel detectors (FPDs) to generate cone-beam CT (CBCT) images. Despite its volumetric coverage, FPD-CBCT does not provide sufficient low-contrast detectability desired for certain interventional procedures. The purpose of this work was to develop a C-arm photon counting detector (PCD) CT system with a step-and-shoot data acquisition method to further improve the tomographic imaging performance of interventional systems. Approach: As a proof-of-concept, a cadmium telluride-based 51 cm × 0.6 cm PCD was mounted in front of a FPD in an Artis Zee biplane system. A total of 10 C-arm sweeps (5 forward and 5 backward) were prescribed. A motorized patient table prototype was synchronized with the C-arm system such that it translates the object by a designated distance during the sub-second rest time in between gantry sweeps. To evaluate whether this multi-sweep step-and-shoot acquisition strategy can generate high-quality and volumetric PCD-CT images without geometric distortion artifacts, experiments were performed using physical phantoms, a human cadaver head, and an in vivo swine subject. Comparison with FPD-CT was made under matched narrow beam collimation and radiation dose conditions. Main Results: Compared with FPD-CT images, PCD-CT images had lower noise and improved visualization of low-contrast lesion models, as well as improved visibility of small iodinated blood vessels. Fine structures were visualized more clearly by the PCD-CT than the highest-available resolution provided by FPD-CBCT and MDCT. No perceivable geometric distortion artifacts were observed in the multi-planar PCD-CT images. Significance: This work is the first demonstration of the feasibility of high-quality and multi-planar (volumetric) PCD-CT imaging with a rotating C-arm gantry.

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“…To overcome these drawbacks, there is an ongoing effort to improve FDCTP processing algorithms. [13][14][15][16][17][18][19] However, studies on real-world perfusion data are still scarce. In this paper, we specifically investigate the time separation technique (TST) 18 when applied to patient data without prior assumptions about perfusion profiles.…”

Section: Ct Perfusion Imaging (Ctp) Is a Technique Used To Visualize ...mentioning

confidence: 99%

“…When compared with CT perfusion, FDCTP suffers from higher noise levels, lower frame rate of the detector, and slower rotation speed of the C‐arm. To overcome these drawbacks, there is an ongoing effort to improve FDCTP processing algorithms 13–19 . However, studies on real‐world perfusion data are still scarce.…”

Section: Introductionmentioning

confidence: 99%

A novel use of time separation technique to improve flat detector CT perfusion imaging in stroke patients

et al. 2022

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Background: CT perfusion imaging (CTP) is used in the diagnostic workup of acute ischemic stroke (AIS). CTP may be performed within the angio suite using flat detector CT (FDCT) to help reduce patient management time. Purpose: In order to significantly improve FDCT perfusion (FDCTP) imaging, data-processing algorithms need to be able to compensate for the higher levels of noise, slow rotation speed, and a lower frame rate of current FDCT devices. Methods: We performed a realistic simulation of FDCTP acquisition based on CTP data from seven subjects. We used the time separation technique (TST) as a model-based approach for FDCTP data processing. We propose a novel dimension reduction in which we approximate the time attenuation curves by a linear combination of trigonometric functions. Our goal was to show that the TST can be used even without prior assumptions on the shape of the attenuation profiles. Results:We first demonstrated that a trigonometric basis is suitable for dimension reduction of perfusion data. Using simulated FDCTP data, we have shown that a trigonometric basis in the TST provided better results than the classical straightforward processing even with additional noise. Average correlation coefficients of perfusion maps were improved for cerebral blood flow (CBF), cerebral blood volume, mean transit time (MTT) maps. In a moderate noise scenario, the average Pearson's coefficient for the CBF map was improved using the TST from 0.76 to 0.81. For the MTT map, it was improved from 0.37 to 0.45. Furthermore, we achieved a total processing time from the reconstruction of FDCTP data to the generation of perfusion maps of under 5 min. Conclusions: In our study cohort, perfusion maps created from FDCTP data using the TST with a trigonometric basis showed equivalent perfusion deficits to classic CT perfusion maps. It follows, that this novel FDCTP technique has potential to provide fast and accurate FDCTP imaging for AIS patients.

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An Enhanced SMART-RECON Algorithm for Time-Resolved C-Arm Cone-Beam CT Imaging

Cited by 9 publications

References 32 publications

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing

A C-arm photon counting CT prototype with volumetric coverage using multi-sweep step-and-shoot acquisitions

A novel use of time separation technique to improve flat detector CT perfusion imaging in stroke patients

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