Evidence map›Paper›PMID 42545595›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Automated image acquisition of apical four-chamber view with robotic echocardiography.

Yuuki Shida, Ningzhi Zhou, Yuki Yamauchi, Souto Kumagai, Hiroyasu Iwata

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Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Yuuki ShidaGraduate School of Creative Science and Engineering, Department of Modern Mechanical Engineering, Waseda University, Tokyo, 169-8050, Japan.
Ningzhi ZhouGraduate School of Creative Science and Engineering, Department of Modern Mechanical Engineering, Waseda University, Tokyo, 169-8050, Japan. neichi496@fuji.waseda.jp.
Yuki YamauchiGraduate School of Creative Science and Engineering, Department of Modern Mechanical Engineering, Waseda University, Tokyo, 169-8050, Japan.
Souto KumagaiGraduate School of Creative Science and Engineering, Department of Modern Mechanical Engineering, Waseda University, Tokyo, 169-8050, Japan.
Hiroyasu IwataFaculty of Science and Engineering, Department of Modern Mechanical Engineering, Waseda University, Tokyo, 169-8050, Japan.

Funding

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6 · The paper itself

Abstract

purposeThe purpose of this study is to propose a method for automatically estimating the position and angle of the acoustic window required to acquire the apical four-chamber view in echocardiography. The apical four-chamber view is clinically important, but it requires accurate probe placement near the cardiac apex. Acquisition of the apical four-chamber view is technically challenging because the acoustic window available for transthoracic ultrasound transmission is restricted by the intercostal space, and the cardiac apex and endocardial borders can be difficult to delineate due to rib shadowing and acoustic attenuation caused by the chest wall and subcutaneous tissue. Therefore, this study proposes a method for automatically acquiring cross sectional images without directly detecting the apex.

methodsThe proposed method estimates the apical four-chamber view through a three-step procedure. First, starting from the parasternal long-axis view, the probe is swept obliquely along the body surface while maintaining the mitral valve near the center of the ultrasound image and gradually rotating the probe toward the apical region. This maneuver is continued through the acoustic window where the cardiac apex can be visualized until the mitral valve leaflets are no longer visible. Second, the probe is rotated and angled to visualize the tricuspid valve, mitral valve, and interventricular septum in a single imaging plane. Finally, the probe is tilted and rocked to optimize the apical four-chamber view.

resultsProof-of-concept experiments demonstrated that the proposed framework could estimate probe positions and orientations for acquiring apical four-chamber views without direct apex detection. Across five subjects, the system achieved an image quality score of 68.0% ± 7.6% based on predefined scoring criteria. These preliminary findings suggest the potential feasibility of algorithm-assisted guidance for apical view acquisition in echocardiography.

conclusionThis study presented a three-step method to estimate the acoustic window for apical four-chamber acquisition without direct apex detection. A proof-of-concept evaluation in five subjects demonstrated that the proposed method could estimate the target acoustic window and suggested the potential of algorithm-assisted guidance for apical four-chamber view acquisition.

Indexed as

EchocardiographyHuman–robot interactionMedical robotsRobotic ultrasound

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.