Image Guidance Technology

We have several projects that are encompassed within the Image Guidance area.

Lymph Node Study

Using Volumetric Analysis of Preoperative CT to Predict Outcomes in Lymph Node Dissection Surgery

3D Printed Models of the Nasal Cavity

Accurate models can minimize the necessity for human volunteers in early-stage endoscopy training for medical residents

Flexible Laryngoscope Education Project

3D Printed Models of the Nasal Cavity

Accurate models can minimize the necessity for human volunteers in early-stage endoscopy training for medical residents

3D Printed Airway Simulator for Flexible Laryngoscope Training

Removable Nosepieces

Accurate anatomy derived from CT of cadavers

3D printed materials

Lymph Node Study

Utilizing Preoperative CT-based Volumetric Analysis to Predict Outcomes in Cervical Lymph Node Dissection (LND) Surgery

Efforts are underway to assess inter-reader reliability of novel manual segmentation protocol with a small team of Dartmouth radiologists.

We are also working on creating software that can automate the segmentation process so as to require minimal inputs and minor edits from live-readers.

Preoperative CT after Segmented for LND:

Green - Lymph Nodes & Adipose (Level II,III,IV)

Green - Lymph Nodes & Adipose (Level II,III,IV)

Green - Lymph Nodes & Adipose (Level II,III,IV)

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