Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Morphometric analysis of the abducens nerve in the petroclival region.

Frontiers in surgery·2025
Same author

Unravelling stress granules in the deep cold: Characterisation of TIA-1 gene sequence in Antarctic fish species.

Fish & shellfish immunology·2024
Same author

Azimuthal Correlations within Exclusive Dijets with Large Momentum Transfer in Photon-Lead Collisions.

Physical review letters·2023
Same author

Measurements of the associated production of a W boson and a charm quark in proton-proton collisions at <math> </math>.

The European physical journal. C, Particles and fields·2022
Same author

Keyword-augmented and semi-automatic generation of FESS reports: a proof-of-concept study.

International journal of computer assisted radiology and surgery·2022
Same author

First Search for Exclusive Diphoton Production at High Mass with Tagged Protons in Proton-Proton Collisions at sqrt[s]=13  TeV.

Physical review letters·2022
Same journal

Design and methodological development of a digital clinical safety training programme informed by a national framework: a New Zealand case study.

Methods of information in medicine·2026
Same journal

Panic Prediction from Digital Phenotyping: Subject-Level Cross-Validation Reveals Limited Between-Person Generalization.

Methods of information in medicine·2026
Same journal

Agent-Based Modeling Approach for Population Dynamics of the Biological Vector Aedes Aegypti.

Methods of information in medicine·2026
Same journal

A Statistical Framework for Person-centered Analysis of Digital Service Use in Public Health and Social Care.

Methods of information in medicine·2026
Same journal

Assessing the Quality of Electronic Discharge Summaries: A Cross-Sectional Study Using the Validated Spanish Version of the PDQI-9.

Methods of information in medicine·2026
Same journal

A Knowledge Graph-Driven Hypergeometric Efficacy Prediction Model for Classical Traditional Chinese Herbal Formulas.

Methods of information in medicine·2026
See all related articles

Related Experiment Video

Updated: May 9, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Distance measures for surgical process models.

S Schumann1, U Bühligen, T Neumuth

  • 1Sandra Schumann, Universität Leipzig, Innovation Center Computer Assisted Surgery, Semmelweisstr. 14, 04103 Leipzig, Germany,

Methods of Information in Medicine
|August 3, 2013
PubMed
Summary
This summary is machine-generated.

Quantifying surgical process differences is key for evaluating new techniques. Levenshtein and Adjacency distances effectively measure variations in surgical procedures, aiding in assessing surgical training and strategy benefits.

Keywords:
Workflowcomputer-assisted surgerydistance measuressurgical process model

More Related Videos

Measuring the Complete-arch Distortion of an Optical Dental Impression
06:51

Measuring the Complete-arch Distortion of an Optical Dental Impression

Published on: May 30, 2019

Dynamic Navigation for Dental Implant Placement
05:42

Dynamic Navigation for Dental Implant Placement

Published on: September 13, 2022

Related Experiment Videos

Last Updated: May 9, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Measuring the Complete-arch Distortion of an Optical Dental Impression
06:51

Measuring the Complete-arch Distortion of an Optical Dental Impression

Published on: May 30, 2019

Dynamic Navigation for Dental Implant Placement
05:42

Dynamic Navigation for Dental Implant Placement

Published on: September 13, 2022

Area of Science:

  • Surgical process analysis
  • Medical informatics
  • Quantitative methods in surgery

Background:

  • Surgical techniques and approaches are continuously evolving.
  • Quantifying the impact of these changes on surgical processes is essential for assessment.
  • Objective measures are needed to evaluate modifications in surgical procedures.

Purpose of the Study:

  • To introduce and evaluate novel distance measurements for surgical processes.
  • To represent differences in the execution of surgical interventions.
  • To provide quantitative tools for assessing surgical modifications.

Main Methods:

  • Four distance measures were developed: Jaccard, Levenshtein, Adjacency, and Graph matching distances.
  • These measures were formally defined and applied to clinical datasets.
  • The study utilized laparoscopic training data from pediatric surgery.

Main Results:

  • 450 surgical processes were analyzed using the four distance measures.
  • The focus was on differentiating processes performed by novices versus experienced surgeons.
  • Levenshtein and Adjacency distances demonstrated the highest suitability for measuring surgical process distances.

Conclusions:

  • Measuring distances between surgical processes is crucial for evaluating new surgical techniques.
  • Quantitative analysis aids in estimating the benefits of novel surgical strategies.
  • The developed distance measures offer valuable insights into surgical performance and training.