Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts

Albà, Xènia; Lekadir, Karim; Hoogendoorn, Corné; Pereañez, Marco; Swift, Andrew J.; Wild, Jim; Frangi, Alejandro F.

doi:10.1007/978-3-319-14678-2_27

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…On the one hand, statistical shape modeling techniques can automate some steps in our shape morphing framework [14]. On the other hand, the flexibility of our final manual morphing allows us to create more subject-specific heart models that are potentially not represented by statistical shape models trained on limited pediatric CHD imaging datasets [1]. Additionally, we currently started from a healthy human heart as a highfidelity starting point.…”

Section: Discussionmentioning

confidence: 99%

Shape Morphing and Slice Shift Correction in Congenital Heart Defect Model Generation

Pentenga,

Stroh,

van Genuchten

et al. 2023

Lecture Notes in Computer Science

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Computational heart modeling is a promising approach for improving the prognosis of patients born with congenital heart defects. To create accurate physics-based digital cardiac twins of this population, it is crucial to accurately represent the highly diverse and unique subjectspecific heart geometry. In young pediatric patients, this is a challenging endeavor given the lack of high-spatial-resolution imaging data and the risk of slice misalignment. In this study, we set up a multistep shape morphing and slice correction approach to accommodate these challenges and establish a population of biventricular heart models for a variety of healthy, Fallot, and Fontan pediatric patients.

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Section: Discussionmentioning

confidence: 99%

Shape Morphing and Slice Shift Correction in Congenital Heart Defect Model Generation

Pentenga,

Stroh,

van Genuchten

et al. 2023

Lecture Notes in Computer Science

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“…Currently, CAD has become a commonly utilized technique for clinical diagnostics using ultrasound images [ 6 – 10 ]). It is noted from the literature that several studies on pulmonary hypertension had been made [ 11 – 13 ]. Albà et al [ 13 ] have proposed a CAD tool to accelerate the screening of pulmonary hypertension.…”

Section: Introductionmentioning

confidence: 99%

“…It is noted from the literature that several studies on pulmonary hypertension had been made [ 11 – 13 ]. Albà et al [ 13 ] have proposed a CAD tool to accelerate the screening of pulmonary hypertension. During the construction of the automated tool, for training and testing, they used 98 subjects, 49 normal and 49 abnormal.…”

Section: Introductionmentioning

confidence: 99%

Automated Diagnosis and Assessment of Cardiac Structural Alteration in Hypertension Ultrasound Images

Raghavendra

Wei

Gudigar

et al. 2022

Contrast Media & Molecular Imaging

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Hypertension (HTN) is a major risk factor for cardiovascular diseases. At least 45% of deaths due to heart disease and 51% of deaths due to stroke are the result of hypertension. According to research on the prevalence and absolute burden of HTN in India, HTN positively correlated with age and was present in 20.6% of men and 20.9% of women. It was estimated that this trend will increase to 22.9% and 23.6% for men and women, respectively, by 2025. Controlling blood pressure is therefore important to lower both morbidity and mortality. Computer-aided diagnosis (CAD) is a noninvasive technique which can determine subtle myocardial structural changes at an early stage. In this work, we show how a multi-resolution analysis-based CAD system can be utilized for the detection of early HTN-induced left ventricular heart muscle changes with the help of ultrasound imaging. Firstly, features were extracted from the ultrasound imagery, and then the feature dimensions were reduced using a locality sensitive discriminant analysis (LSDA). The decision tree classifier with contourlet and shearlet transform features was later employed for improved performance and maximized accuracy using only two features. The developed model is applicable for the evaluation of cardiac structural alteration in HTN and can be used as a standalone tool in hospitals and polyclinics.

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“…For example, in a subclass of CHD called double outlet right ventricle (DORV), the aorta arises from the right ventricle (instead of the left) and a ventricular septal defect forms a hole in the septum between the two ventricles. Specialized segmentation algorithms have been developed for hearts with infarcts, left ventricular hypertropy, or pulmonary hypertension [1,9]. These methods use probabilistic atlases or point distribution models built for normal subjects by finding some transformation between the abnormal heart and the normal model.…”

Section: Introductionmentioning

confidence: 99%

Interactive Whole-Heart Segmentation in Congenital Heart Disease

Pace

Dalca

Geva

et al. 2015

Lecture Notes in Computer Science

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We present an interactive algorithm to segment the heart chambers and epicardial surfaces, including the great vessel walls, in pediatric cardiac MRI of congenital heart disease. Accurate whole-heart segmentation is necessary to create patient-specific 3D heart models for surgical planning in the presence of complex heart defects. Anatomical variability due to congenital defects precludes fully automatic atlas-based segmentation. Our interactive segmentation method exploits expert segmentations of a small set of short-axis slice regions to automatically delineate the remaining volume using patch-based segmentation. We also investigate the potential of active learning to automatically solicit user input in areas where segmentation error is likely to be high. Validation is performed on four subjects with double outlet right ventricle, a severe congenital heart defect. We show that strategies asking the user to manually segment regions of interest within short-axis slices yield higher accuracy with less user input than those querying entire short-axis slices.

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Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts

Cited by 7 publications

References 10 publications

Shape Morphing and Slice Shift Correction in Congenital Heart Defect Model Generation

Shape Morphing and Slice Shift Correction in Congenital Heart Defect Model Generation

Automated Diagnosis and Assessment of Cardiac Structural Alteration in Hypertension Ultrasound Images

Interactive Whole-Heart Segmentation in Congenital Heart Disease

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