CTvox vs Dental CBCT Studio

CTvox brings 3D visualization of volumetric data using volume rendering to your iOS device. Volume rendering is a visualization technique that allows intuitive and interactive exploration of 3D voxel data by selectively introducing transparency and color. Examples of 3D voxel data include (micro-)CT and MRI scans and synthetic data resulting from numeric computations.

Review dental CBCT studies with synchronized slices, 3D views, panoramas, measurements, and exports on iPhone, iPad, and Apple-silicon Mac. • Move through your scan. Review axial, coronal, and sagittal slices alongside the 3D volume. On iPhone and iPad, pinch and pan with two fingers in Navigate mode. • Follow the dental arch. Review and adjust automatic upper and lower arch proposals, or draw your own. Inspect curved panoramas and move through perpendicular cross-sections. Optional panorama guides locate cross-section drawings and reopen their source sections; measurement values stay in the source view. The guides are not panorama rulers. • Add measurements and observations. Place distances, angles, and regions of interest using the study's physical geometry. Explicitly save a study state with views, annotations, and accepted edits to reopen with the matching original study. • Inspect and refine surfaces. Review jaw, grouped tooth, and mandibular canal (IAN) segmentation proposals against the source slices. Paint or erase corrections and export STL surfaces after reviewing them. Choose Smooth or Exact voxels; a General threshold surface is also available. • Review a selected tooth. The experimental Endo workspace runs its bundled STSR26 model locally to propose tooth and pulp at your target. Compare masks with the acquired slices, use continuous paint or erase strokes, record manual canal traces and notes, and export separate reviewed surfaces. Manual trace length is not established clinical working length. • Compare optional enhanced previews. Apply Super Resolution or Metal Artifact Reduction to current 2D views, then use Show Original for the same-cut comparison. A separate Export Enhanced CT action writes a processed DICOM copy; retain the original for comparison. • Prepare clear exports. Create still images, silent videos, PDF reports, and DICOM secondary captures. Choose the views and overlays to include, preview your work, and save it through system controls. Open a local DICOM file or folder and work on your device. No account is required. Help, privacy information, and licenses are available offline. Find public app instructions through the in-app guide, Siri, Shortcuts, and supported Spotlight search; private studies are excluded. The feedback form prepares a draft for your email app with your description and app/OS information. You review and send it; no study files or crash logs are attached automatically. The importer supports monochrome 8-bit or 16-bit integer DICOM series and Enhanced multi-frame files with valid geometry. Supported transfer syntaxes are Implicit VR Little Endian, Explicit VR Little Endian, Explicit VR Big Endian, Deflated Explicit VR Little Endian, and RLE Lossless. Multi-frame geometry must describe a regular spatial stack; single-frame files need declared slice extent. JPEG, JPEG-LS, JPEG 2000, other compressed transfer syntaxes, color DICOM, and PACS networking are not supported. Scan size and device memory affect what can be opened. Dental CBCT Studio has not been validated for diagnostic use. Verify measurements, arch proposals, and segmentation against the original study. Segmentation and enhancement can be incomplete or incorrect, including missed or altered fine canals and anatomy. A denser image grid does not establish improved diagnostic resolution, and CBCT gray values are not standardized Hounsfield units. Use qualified clinical judgment before making medical decisions. Includes experimental STSR26, BoneEnhance, and RISE-MAR adaptations with source, license, and modification notices available offline in Privacy & Licenses. Includes an adapted DentalSegmentator model by Gauthier Dot and contributors, licensed CC BY 4.0. Original model: https://zenodo.org/records/10829675. License: https://creativecommons.org/licenses/by/4.0/. Full credits, modifications, and separate Apache-2.0 code notices are available in Privacy & Licenses.