Evidence map›Paper›PMID 40183862›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

Robot-assisted ultrasound probe calibration for image-guided interventions.

Atharva Paralikar, Pavan Mantripragada, Trong Nguyen, Youness Arjoune, Raj Shekhar, Reza Monfaredi

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Atharva ParalikarSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington D.C., USA. aparalikar@childrensnational.org.ORCID http://orcid.org/0000-0002-1238-5775
Pavan MantripragadaUniversity of Maryland, College Park, Maryland, USA.
Trong NguyenAusculTech Dx, Silver Spring, Maryland, USA.
Youness ArjouneSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington D.C., USA.
Raj ShekharSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington D.C., USA.
Reza MonfarediSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington D.C., USA.

Funding

A clinical platform for ultrasound-augmented laparoscopyR01EB030093 · NIBIB · CHILDREN'S RESEARCH INSTITUTE · PI Raj Shekhar · 2023 to 2026
$2.1M
NIBIB NIH HHS R01 EB030093NIH HHS 5R01EB030093
6 · The paper itself

Abstract

backgroundTrackable ultrasound probes facilitate ultrasound-guided procedures, allowing real-time fusion of augmented ultrasound images and live video streams. The integration aids surgeons in accurately locating lesions within organs, and this could only be achieved through a precise registration between the ultrasound probe and the ultrasound image. Currently, calibration and registration processes are often manual, labor-intensive, time-consuming, and suboptimal. Technologists manually manipulate a stylus, moving it through various poses within the ultrasound probe's imaging plane to detect its tip in the ultrasound image. This paper addresses this challenge by proposing a novel automated calibration approach for trackable ultrasound probes.

methodsWe utilized a robotic manipulator (KUKA LBR iiwa 7) to execute stylus movements, eliminating the cumbersome manual positioning of the probe. We incorporated a 6-degree-of-freedom electromagnetic tracker into the ultrasound probe to enable real-time pose and orientation tracking. Also, we developed a feature detection algorithm to effectively identify in plane stylus tip coordinates from recorded ultrasound feeds, facilitating automatic selection of calibration correspondences.

resultsThe proposed system performed comparably to manual ultrasound feature segmentation, yielding a mean re-projection error of 0.38 mm compared to a manual landmark selection error of 0.34 mm. We also achieved an image plane reconstruction of 0.80 deg with manual segmentation and 0.20 deg with automatic segmentation.

conclusionThe proposed system allowed for fully automated calibration while maintaining the same level of accuracy as the state-of-the-art methods. It streamlines the process of using a trackable US probe by simplifying recalibration after sterilization when the electromagnetic tracker is externally attached and is required to be disassembled for cleaning and sterilization, or as a part of out-of-factory calibration of US probe with embedded trackers where probes are in mass production.

Indexed as

RoboticsRobotic Surgical ProceduresSurgery, Computer-AssistedUltrasonography, InterventionalAlgorithmsCalibrationEquipment DesignHumansAutomatic feature extractionElectromagnetic trackingRobot-assisted ultrasound calibrationTrackable ultrasound probes

Identifiers

PMID40183862
PMCPMC12323678

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Registered trials

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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.