Automatic 14-plane slice-alignment method for ventricular and valvular analysis in cardiac magnetic resonance imaging

Nitta, Shuhei; Shiodera, Taichiro; Sakata, Yoshihito; Takeguchi, Tomoyuki; Kuhara, Shigehide; Yokoyama, Kenichi; Ishimura, Reiko; Kariyasu, Toshiya; Imai, Masamichi; Nitatori, Toshiaki

doi:10.1186/1532-429x-16-s1-p1

Cited by 1 publication

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“…Cardiac segmentation of the left ventricle and atrium with joint prediction of standard clinical view planes has been previously explored by Chen et al [19], who aimed to translate findings from automated segmentations into clinical routine protocols. For optimal valvular heart disease assessment, 14 slice orientations were defined using a cardiac MRI reference scan [20]. Odille et al [21] reconstructed the left ventricular shape by fitting a b-spline model to slice segmentations obtained from motion-corrected high-resolution intensity data.…”

Section: Shape Reconstruction and Imaging Plane Optimizationmentioning

confidence: 99%

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AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning

Weihsbach,

Vogt,

Al-Haj Hemidi

et al. 2024

Sensors

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In cardiac cine imaging, acquiring high-quality data is challenging and time-consuming due to the artifacts generated by the heart’s continuous movement. Volumetric, fully isotropic data acquisition with high temporal resolution is, to date, intractable due to MR physics constraints. To assess whole-heart movement under minimal acquisition time, we propose a deep learning model that reconstructs the volumetric shape of multiple cardiac chambers from a limited number of input slices while simultaneously optimizing the slice acquisition orientation for this task. We mimic the current clinical protocols for cardiac imaging and compare the shape reconstruction quality of standard clinical views and optimized views. In our experiments, we show that the jointly trained model achieves accurate high-resolution multi-chamber shape reconstruction with errors of <mode=text 13mm HD95 and Dice scores of >mode=text, retain-explicit-plus 80 , indicating its effectiveness in both simulated cardiac cine MRI and clinical cardiac MRI with a wide range of pathological shape variations.

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Section: Shape Reconstruction and Imaging Plane Optimizationmentioning

confidence: 99%

“…While previous studies focused on detecting clinical standard imaging planes [15,18,20], we hypothesize that the slice view orientation should be optimized in a task-driven manner and propose the following contributions:…”

Section: Contributionmentioning

confidence: 99%