Evidence map›Paper›PMID 42760459›Full record

ArticleJournal of imaging informatics in medicine2026

Instant3D: A Lightweight Open-Source GUI Frontend for TotalSegmentator-Based Medical Image Segmentation and 3D Reconstruction.

Satoru Muro, Takuya Ibara, Akimoto Nimura, Keiichi Akita

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Article in Journal of imaging informatics in medicine, 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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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

4 authors.

Satoru MuroDepartment of Clinical Anatomy, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan. muro.fana@tmd.ac.jp.ORCID http://orcid.org/0000-0002-4709-6359
Takuya IbaraDepartment of Functional Joint Anatomy, Biomedical Engineering Laboratory, Institute of Industry Incubation, Institute of Science Tokyo, Tokyo, Japan.
Akimoto NimuraDepartment of Functional Joint Anatomy, Biomedical Engineering Laboratory, Institute of Industry Incubation, Institute of Science Tokyo, Tokyo, Japan.
Keiichi AkitaDepartment of Clinical Anatomy, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automatic segmentation is increasingly used in medical imaging, but many tools require command-line operation and environment setup. TotalSegmentator provides open-source multiorgan segmentation for computed tomography (CT) and magnetic resonance imaging (MRI) data, yet its routine use may be challenging for nontechnical users. Herein, we describe the design, implementation, and functionality of Instant3D, a lightweight, open-source graphical user interface (GUI) frontend for TotalSegmentator. Instant3D was developed in Python using PyQt6. It accepts DICOM folders, NIfTI files, and NRRD files as input and allows users to select regions of interest (ROIs) through a suggestion-enabled interface. The GUI executes TotalSegmentator as the backend. Default outputs include STL meshes for 3D visualization and NIfTI segmentation images, with optional SVG masks and CSV files containing volumetric measurements. SVG masks are interoperable with SegRef3D for slice-level review and refinement of automated segmentation results. Batch processing is supported. Functionality was tested using representative CT and MRI datasets. Instant3D successfully imported supported formats, executed TotalSegmentator through the GUI, and generated expected outputs, including STL, NIfTI, SVG, and CSV files. Representative datasets demonstrated successful workflow completion and compatibility with SegRef3D. Batch processing generated organized output files for multiple input datasets, confirming workflow feasibility. Instant3D simplifies TotalSegmentator execution and facilitates generation of reusable 3D reconstruction outputs. While not a replacement for comprehensive visualization platforms, it complements them by providing a streamlined workflow for ROI selection, batch processing, and multiformat export. Instant3D may serve as a practical tool for research, education, quantitative imaging, and 3D model generation.

Indexed as

3D printing3D reconstructionAutomatic segmentationGraphical user interface (GUI)Medical imagingRadiomics

Identifiers

PMID42760459

What OpenQuestion holds

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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.