Stylus/tablet user input device for MRI heart wall segmentation: efficiency and ease of use

Taslakian, Bedros; Pires, A.S.T.; Halpern, Dan; Babb, James S.; Axel, Leon

doi:10.1007/s00330-018-5435-x

Cited by 4 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It mainly includes three parts, which are as follows: data normalization processing, image denoising, and image normalization. The data normalization is mainly normalizing the original image to the same size, so that each image voxel size is as consistent as possible [ 12 ]. ReLU is used as the activation function in the middle layer of a convolutional neural network.…”

Section: Methodsmentioning

confidence: 99%

Effect of Different Nursing Interventions on Discharged Patients with Cardiac Valve Replacement Evaluated by Deep Learning Algorithm‐Based MRI Information

Zhang

Zhou

2022

Contrast Media & Molecular Imaging

View full text Add to dashboard Cite

This study was aimed to explore the application of cardiac magnetic resonance imaging (MRI) image segmentation model based on U-Net in the diagnosis of a valvular heart disease. The effect of continuous nursing on the survival of discharged patients with cardiac valve replacement was analyzed in this study. In this study, the filling completion operation, cross entropy loss function, and guidance unit were introduced and optimized based on the U-Net network. The heart MRI image segmentation model ML-Net was established. We compared the Dice, Hausdorff distance (HD), and percentage of area difference (PAD) values between ML-Net and other algorithms. The MRI image features of 82 patients with valvular heart disease who underwent cardiac valve replacement were analyzed. According to different nursing methods, they were randomly divided into the control group (routine nursing) and the intervention group (continuous nursing), with 41 cases in each group. The Glasgow Outcome Scale (GOS) score and the Self-rating Anxiety Scale (SAS) were compared between the two groups to assess the degree of anxiety of patients and the survival status at 6 months, 1 year, 2 years, and 3 years after discharge. The results showed that the Dice coefficient, HD, and PAD of the ML-Net algorithm were (0.896 ± 0.071), (5.66 ± 0.45) mm, and (15.34 ± 1.22) %, respectively. The Dice, HD, and PAD values of the ML-Net algorithm were all statistically different from those of the convolutional neural networks (CNN), fully convolutional networks (FCN), SegNet, and U-Net algorithms P < 0.05 . Atrial, ventricular, and aortic abnormalities can be seen in MRI images of patients with valvular heart disease. The cardiac blood flow signal will also be abnormal. The GOS score of the intervention group was significantly higher than that of the control group P < 0.01 . The SAS score was lower than that of the control group P < 0.05 . The survival rates of patients with valvular heart disease at 6 months, 1 year, 2 years, and 3 years after discharge were significantly higher than those in the control group P < 0.05 . The abovementioned results showed that an effective segmentation model for cardiac MRI images was established in this study. Continuous nursing played an important role in the postoperative recovery of discharged patients after cardiac valve replacement. This study provided a reference value for the diagnosis and prognosis of valvular heart disease.

show abstract

Section: Methodsmentioning

confidence: 99%

Effect of Different Nursing Interventions on Discharged Patients with Cardiac Valve Replacement Evaluated by Deep Learning Algorithm‐Based MRI Information

Zhang

Zhou

2022

Contrast Media & Molecular Imaging

View full text Add to dashboard Cite

show abstract

“…While currently such systems are not routinely used in clinical practice, in-bore MR prostate systems are further developed and investigated. 9,10,55 In a hospital, conducting these prostate biopsies may be difficult due to logistic issues related to availability of dedicated MR scanners and an intervention team comprising of MRI technicians, radiologist, and urologists. As a result, MRI-Ultrasound fusion systems are preferred in a clinical setting, where MRgPBx is performed using preoperative…”

Section: F I G U R Ementioning

confidence: 99%

Evaluation of how users interface with holographic augmented reality surgical scenes: Interactive planning MR‐Guided prostate biopsies

Velazco-Garcia

Navkar

Balakrishnan

et al. 2021

Robotics Computer Surgery

View full text Add to dashboard Cite

Background: User interfaces play a vital role in the planning and execution of an interventional procedure. The objective of this study is to investigate the effect of using different user interfaces for planning transrectal robot-assisted MR-guided prostate biopsy (MRgPBx) in an augmented reality (AR) environment. Method:End-user studies were conducted by simulating an MRgPBx system with end-and side-firing modes. The information from the system to the operator was rendered on HoloLens as an output interface. Joystick, mouse/keyboard, and holographic menus were used as input interfaces to the system. Results:The studies indicated that using a joystick improved the interactive capacity and enabled operator to plan MRgPBx in less time. It efficiently captures the operator's commands to manipulate the augmented environment representing the state of MRgPBx system. Conclusions:The study demonstrates an alternative to conventional input interfaces to interact and manipulate an AR environment within the context of MRgPBx planning.

show abstract

Reliability of cervical muscle volume quantification using magnetic resonance imaging

Snodgrass

Zoete

Croker

et al. 2019

Musculoskeletal Science and Practice

View full text Add to dashboard Cite

Stylus/tablet user input device for MRI heart wall segmentation: efficiency and ease of use

Abstract: • Using a stylus for MRI ventricular segmentation is faster compared to mouse • A stylus is easier to use and results in less fatigue • There is excellent agreement between stylus and mouse UIDs.

Cited by 4 publications

References 21 publications

Effect of Different Nursing Interventions on Discharged Patients with Cardiac Valve Replacement Evaluated by Deep Learning Algorithm‐Based MRI Information

Effect of Different Nursing Interventions on Discharged Patients with Cardiac Valve Replacement Evaluated by Deep Learning Algorithm‐Based MRI Information

Evaluation of how users interface with holographic augmented reality surgical scenes: Interactive planning MR‐Guided prostate biopsies

Reliability of cervical muscle volume quantification using magnetic resonance imaging

Contact Info

Product

Resources

About