D2P vs Aquilion Precision

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 65/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.

D2P

by 3D Systems

Aquilion Precision

by Canon Medical Systems Corporation

AI Verdict

Tool A (D2P) is a software solution that processes existing 2D medical imaging data into 3D anatomical models for visualization and surgical planning, utilizing deep learning for segmentation. Tool B (Aquilion Precision) is a hardware-based Ultra-High Resolution CT system that leverages deep learning for image reconstruction to generate highly detailed 2D diagnostic images. While both operate in the radiology and imaging AI domain, D2P focuses on post-acquisition 3D model creation, whereas Aquilion Precision specializes in the acquisition of ultra-high resolution diagnostic imaging data.

Choose D2P if…

Choose D2P if your primary need is to transform existing 2D medical imaging data into highly accurate, patient-specific 3D anatomical models for advanced visualization, surgical planning, or 3D printing. This tool is ideal for clinicians and engineers who require robust segmentation, editing, and VR capabilities to prepare models for pre-operative assessment and custom device creation.

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Choose Aquilion Precision if…

Choose Aquilion Precision if your priority is to acquire the most detailed diagnostic imaging data possible directly from the patient, particularly when visualizing minute anatomical structures is critical. This system is best suited for facilities needing ultra-high resolution CT scans (down to 150 microns) at standard radiation doses, enabling precise diagnosis in specialties like cardiology or neurology where fine detail is paramount.

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Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature	D2P	Aquilion Precision
Pricing	Contact for pricing	Contact for pricing
Deployment	Stand-alone modular software package (workstation-based)	On-premise (physical hardware)
FDA Status	Yes AI-estimated	1 AI-estimated

Head-to-Head

AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.

Usability

D2P

D2P (Tool A) is a software solution offering a direct, interactive workflow for converting 2D images to 3D models, including segmentation, editing, and VR visualization. This provides a high degree of user control and manipulation for creating specific outputs. Aquilion Precision (Tool B), while producing high-quality images, is a diagnostic hardware system where usability primarily relates to image acquisition and interpretation, rather than direct user manipulation of the output data for model creation.

Clinical Value

Aquilion Precision

Aquilion Precision (Tool B) offers a fundamental improvement in diagnostic capabilities by providing ultra-high resolution CT images at a standard dose, enabling more precise detection of small anatomical structures. This directly enhances the accuracy of initial diagnoses, which underpins subsequent clinical decisions. D2P (Tool A) provides significant value in surgical planning and patient-specific modeling, building upon existing diagnostic data, but Tool B's innovation directly impacts the quality of the diagnostic data itself.

Pricing & Value

Tie

Both D2P (Tool A) and Aquilion Precision (Tool B) require contacting their respective companies for pricing information, as it is not publicly available. Without any transparent pricing or comparative cost-benefit analyses, it is impossible to determine which tool offers better value.

Enterprise Readiness

Aquilion Precision

Aquilion Precision (Tool B) is a full-fledged, on-premise Ultra-High Resolution CT system, representing a significant capital investment and core diagnostic infrastructure for a healthcare enterprise. As a major medical device, it is inherently designed for rigorous hospital environments, including integration with PACS/RIS systems, robust maintenance, and comprehensive regulatory compliance. D2P (Tool A), while valuable software, is a workstation-based solution that complements existing imaging, and its enterprise readiness would depend more on its integration capabilities within the broader hospital IT ecosystem beyond its specific 3D printing workflows.

Innovation

Aquilion Precision

Aquilion Precision (Tool B) is described as the 'world's first Ultra-High Resolution CT (UHR CT) system' that achieves 150-micron resolution at standard CT dose using Deep Learning Neural Networks (AiCE). This represents a groundbreaking advancement in core diagnostic imaging technology. D2P (Tool A) is also innovative in its use of deep learning and VR for 3D model creation and surgical planning, but Tool B's innovation pushes the fundamental boundaries of image acquisition itself.

Support & Docs

Tie

Both 3D Systems (Tool A) and Canon Medical Systems (Tool B) are established medical device manufacturers with extensive global operations. As such, both companies are expected to provide comprehensive support, maintenance, and documentation for their medical products, given the critical nature and regulatory requirements of their use. Without specific comparative details on the quality or extent of support and documentation for these particular products, it is not possible to distinguish a winner.

Feature-by-Feature

Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.

Feature	D2P	Aquilion Precision
Primary Function	Medical 3D printing software that converts 2D medical imaging data (DICOM) into accurate 3D digital anatomical models for advanced visualization, surgical planning, and 3D printing.	Ultra-High Resolution CT (UHR CT) system for imaging.
Core Technology / AI Use	Deep learning for automatic and manual segmentation, Virtual Reality (VR) visualization.	Deep Learning Neural Networks (AiCE) for image reconstruction.
Output / Resolution	Accurate 3D digital anatomical models, exportable in various file formats (STL, OBJ, PLY, DXF, IGES, 3DS, OBJ, VRML, PLY, XYZ).	Ultra-High Resolution CT images, with resolution of anatomy as small as 150 microns (0.15 mm).
Supported Specialties	Neurosurgery, Orthopedics, Radiology	Cardiology, Neurology, Radiology
Key Feature: 3D Model Creation & Editing	Automatic and manual segmentation tools (deep learning driven), 3D model editing tools (smoothing, thickening, thinning, trimming, hollow, shell, coloring, strength, labeling).	Not specified
Key Feature: Ultra-High Resolution Imaging	Not specified	Ultra-High Resolution CT (UHR CT) imaging, UHR Detector System (0.25 mm x 160 rows, 1792 channels), UHR X-ray Tube with industry's smallest focal spot (0.4 mm x 0.5 mm).

Videos

Demos, reviews, and walkthroughs featuring D2P and Aquilion Precision.

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Frequently Asked Questions

How do D2P and Aquilion Precision fit into different stages of patient care, and are they complementary or mutually exclusive for specific clinical goals?

D2P is a software solution that processes existing 2D medical imaging data (DICOM) to create accurate 3D digital anatomical models for advanced visualization, surgical planning, and 3D printing of patient-specific models. In contrast, Aquilion Precision is an Ultra-High Resolution CT (UHR CT) system that acquires diagnostic images with unprecedented detail, resolving anatomy as small as 150 microns. They serve distinct, yet potentially complementary, roles: Aquilion Precision enhances the initial diagnostic imaging, while D2P utilizes that (or other) imaging data for downstream planning and model creation.

What is the practical difference in 'accuracy' between D2P's 3D model creation and Aquilion Precision's ultra-high resolution imaging, and how does this impact clinical decision-making?

D2P focuses on creating accurate 3D digital anatomical models from 2D imaging data, utilizing deep learning for segmentation to ensure fidelity for visualization and surgical planning. Aquilion Precision, on the other hand, provides ultra-high resolution CT imaging, capable of resolving anatomical details as small as 150 microns, which enhances diagnostic precision at the image acquisition stage. The enhanced detail from Aquilion Precision could serve as superior input for D2P, potentially leading to even more precise 3D models for surgical planning and diagnostics.

For which specific clinical specialties and scenarios would each tool offer the most significant advantage?

D2P is particularly advantageous in specialties like Neurosurgery and Orthopedics, where it facilitates advanced surgical planning and the creation of patient-specific 3D printed models from existing scans. Aquilion Precision excels in Cardiology and Neurology by providing ultra-high resolution diagnostic images, enabling the visualization of very fine anatomical structures critical for detailed diagnosis and potentially earlier detection of lesions.

What is the expected learning curve for physicians and technologists to effectively integrate each system into their clinical workflows?

For D2P, the learning curve involves mastering the software's segmentation, 3D model editing tools, and VR visualization features to create accurate anatomical models, with the software designed to minimize the need for extensive technical expertise. For Aquilion Precision, the learning curve primarily relates to understanding its ultra-high resolution capabilities and Deep Learning Reconstruction (AiCE) within the familiar CT scanning workflow, which is designed for efficient and consistent operation.

What audit-trail features are available in each system to ensure data integrity and accountability for modifications or processing steps?

D2P, as a software for 3D model creation and editing, would typically offer audit trails for segmentation, editing, and export actions performed on patient data, which is crucial for tracking the evolution of a patient-specific model. Aquilion Precision, as an imaging system, generates DICOM data with embedded metadata that inherently provides an audit trail of acquisition parameters and reconstruction details, and Canon Medical Systems emphasizes AI-assisted workflow automation for consistency.

Beyond standard medical device compliance, what specific security measures are implemented in each system to protect patient data from unauthorized access or manipulation?

D2P handles protected health information within a regulated medical device context, implying robust data encryption for models and associated patient data, along with secure access controls for its workstation-based software. Aquilion Precision, as an on-premise physical hardware system, focuses on securing imaging data at the point of acquisition and during transfer, likely incorporating network security protocols and system hardening to protect the integrity of the UHR CT images.

What are the key considerations for deploying each solution across multiple clinical sites, particularly regarding infrastructure and user training?

For D2P, multi-site rollout would involve deploying the stand-alone modular software on individual workstations at each site, requiring consistent software installation, licensing management, and user training across locations. For Aquilion Precision, multi-site deployment entails the physical installation of the UHR CT hardware at each facility, necessitating significant infrastructure planning, space allocation, and specialized training for operators at every site.