INSIGHT

NEUROSPACE™ | NEURORADIOLOGY SPACE

From Images to Understanding.
From Data to Decisions.

Every pixel tells a story, but interpretation depends on context. Neurospace brings structural imaging, function, connectivity, clinical information, and prior studies into one spatial workspace designed to help neuroradiologists see beyond the grayscale without removing the physician from the decision.

Explore Clinical Workflow PACS-Integrated Reporting

MRICTPETfMRIDTITRACTOGRAPHYDICOM / PACS

RADIOLENS ANALYSIS PACS-LINK ACTIVE

Connected Insight

3D + Functional Correlation

WORKFLOW

A CONNECTED INTERPRETIVE WORKFLOW

One case. Every layer of context.

Neuroradiology is rarely a single-image problem. Neurospace is designed around the complete interpretive path—from receiving the study to communicating a clinically useful conclusion—while preserving existing imaging infrastructure.

01 / INGEST

Connect the Study

Bring current and prior imaging into a unified patient context through DICOM/PACS-oriented workflows.

02 / SYNTHESIZE

Align + Synthesize

Use the Neurospace Intelligence Layer to organize structural, functional, metabolic, and connectivity information as complementary patient-specific evidence rather than isolated exams.

03 / INTERPRET

Interrogate the Finding

Apply AI-assisted pattern recognition, segmentation support, quantitative analysis, and advanced visualization as inspectable decision support around the radiologist’s interpretation.

04 / CORRELATE

Connect Image + Symptom

Relate imaging findings to neurological presentation, anatomy, function, pathways, and longitudinal change with contextual relationships prioritized for expert review.

05 / COMMUNICATE

Report With Context

Structure findings, measurements, key images, and 3D views into a report-ready clinical narrative connected to PACS.

MULTIMODAL CONTEXT

See the patient, not the sequence.

A lesion may be visible on one acquisition, characterized by another, and clinically meaningful only when function or connectivity is considered. Neurospace organizes these layers around the same patient anatomy while its Intelligence Layer helps synthesize relevant multimodal relationships for expert review—without removing access to the underlying source data or the radiologist’s control.

Structural imaging: MRI and CT anatomy organized for cross-sequence comparison and longitudinal review.
Connectivity: DTI and tractography positioned alongside structural findings where pathway relationships matter.
Functional and metabolic context: fMRI and PET incorporated when clinically relevant to the case.
Registration-aware review: aligned datasets support consistent spatial orientation across modalities.

MULTIMODAL FUSION VIEW PATIENT SPACE / REGISTERED

T1 / MRI

DTI

fMRI

PET

CONTEXT

CLINICAL CORRELATION / CASE WORKSPACE● SYNCHRONIZED

CLINICAL CORRELATION

The scan becomes more useful when it knows the question.

Neurospace is designed to place neurological presentation beside the imaging rather than treating those inputs as separate worlds. The Intelligence Layer can support anatomical-functional correlation, pathway relationships, quantitative comparison, and contextual prioritization. The goal is not to generate an autonomous conclusion; it is to make the relevant relationships easier for the neuroradiologist to inspect, challenge, and communicate.

Correlate symptoms with lesion location, functional systems, and connectivity.
Surface spatial relationships that may be difficult to appreciate across separate 2D views.
Flag proximity or change for focused review without replacing radiologist judgment.
Carry relevant clinical context into structured interpretation and communication.

ADVANCED VISUALIZATION

Anatomy. Function. Connectivity. One spatial language.

Three-dimensional visualization is most useful when it clarifies a clinical relationship. Neurospace converts selected imaging data into patient-specific spatial views that can support interpretation, multidisciplinary review, planning discussions, education, and patient communication.

Patient-Specific 3D Anatomy

Transform segmented structures and pathology into spatial views that preserve their relationship to the original imaging.

White-Matter Connectivity

Review tractography in relation to lesion location, cortical anatomy, and other patient-specific structures.

Layered Multimodal Views

Move from conventional slice review into fused spatial context while retaining access to the underlying source datasets.

Shared Case Understanding

Give surgeons, oncologists, neurologists, trainees, and other collaborators a common visual representation of the same case.

PACS-INTEGRATED REPORTING

Interpretation should end where the clinical workflow already lives.

Neurospace is positioned as an intelligence layer around existing imaging infrastructure—not a demand to replace it. AI-assisted organization can help carry measurements, key findings, longitudinal change, relevant images, and structured content into a report-ready workflow, while the radiologist authors, verifies, edits, and owns the final interpretation.

DICOM-oriented study access and PACS-connected workflow concepts.
AI-assisted structured reporting support for consistent organization of findings, measurements, comparison, and impression.
Key images, measurements, 3D views, and relevant overlays retained with case context.
Longitudinal comparison designed to keep prior and current studies clinically connected.

FROM INTERPRETATION TO ACTION

A radiology result should travel with its context.

The value of neuroradiology extends beyond the reading room. Neurospace is designed so the same patient-specific imaging context can move into neurosurgical planning, functional review, radiation oncology, education, and remote multidisciplinary discussion without being reduced to disconnected screenshots.

Multidisciplinary review across radiology, neurosurgery, oncology, and related specialties.
Remote case collaboration through Neurospace Teleportal when distance separates expertise.
Shared annotation and case discussion around the same registered patient data.
Case-based education using real clinical context and patient-specific visualization.

MRI
STRUCTURAL

CT
ANATOMY

PET
METABOLIC

fMRI
FUNCTION

DTI
CONNECTIVITY

nTMS
FUNCTIONAL MAPPING

AI
ARTIFICIAL INTELLIGENCE

DICOM
EXCHANGE

PACS
WORKFLOW

01 / SYNTHESIS

Multimodal Interpretation

Bring structural, functional, metabolic, and connectivity data into one patient-specific interpretive context so the radiologist can evaluate relationships across modalities rather than reconstructing them mentally across disconnected viewers.

02 / ANALYSIS

Quantitative + Longitudinal Intelligence

Support measurement, comparison, change detection, and quantitative review across current and prior studies through Artificial Intelligence, with computational outputs presented as evidence to inspect rather than conclusions to accept blindly.

03 / CORRELATION

Symptom, Function + Pathways

Relate the observed finding to neurological presentation, eloquent anatomy, functional activation, and white-matter pathways where those relationships are clinically relevant.

04 / SEGMENTATION

Patient-Specific Modeling

Assist segmentation of relevant anatomy and pathology to accelerate creation of reviewable 3D structures, spatial measurements, and downstream visualization without removing clinician verification.

05 / PRIORITIZATION

Contextual Information Prioritization

Help surface the findings, changes, measurements, pathway relationships, and case details most relevant to the current clinical question so attention is directed without dictating the interpretation.

06 / COMMUNICATION

Structured Reporting Support

Organize key images, measurements, clinical correlation, longitudinal comparison, and report components into a coherent draft structure that remains editable, verifiable, and owned by the radiologist.