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Related Experiment Video

Updated: Jul 19, 2026

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

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Spherical harmonics based intrasubject 3-D kidney modeling/registration technique applied on partial information.

Jean-Louis Dillenseger¹, Hélène Guillaume, Jean-Jacques Patard

¹INSERM U642, Laboratoire Traitement du Signal et de l'Image, University of Rennes 1, 35042 Rennes, France. Jean-Louis.Dillenseger@univ-rennes1.fr

IEEE Transactions on Bio-Medical Engineering

|November 1, 2006

Summary

This study introduces a novel 3D kidney reconstruction and registration method for nephron-sparing surgery planning. While shape recovery was less accurate than expected, the technique improved registration accuracy and speed compared to existing methods.

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Published on: November 23, 2019

Area of Science:

Medical Imaging
Computational Geometry
Surgical Planning

Background:

Nephron-sparing surgery requires precise preoperative planning.
Current Spiral CT Urography offers limited kidney demarcation, impacting anatomical detail.
Accurate 3D kidney shape and spatial representation are crucial for surgical guidance.

Purpose of the Study:

To develop a 3D kidney shape reconstruction and intrapatient rigid registration technique.
To enhance preoperative planning for nephron-sparing surgery.
To utilize spherical harmonics for global kidney spatial representation.

Main Methods:

A novel methodology employing spherical harmonics for 3D kidney shape recovery.
Application of spherical harmonics for intrapatient 3D rigid registration.
Evaluation using synthetic data comparing performance against iterative closest point techniques.

Main Results:

The technique demonstrated lower-than-expected performance in 3D shape recovery.
Registration results were slightly more accurate than the iterative closest point technique.
The proposed method offered a faster computation time compared to iterative closest point.

Conclusions:

The spherical harmonics-based approach shows promise for improving 3D kidney registration in surgical planning.
Further refinement is needed to enhance the 3D shape recovery performance.
The method offers a computationally efficient alternative for intrapatient registration.