A new and improved size detection algorithm for acetabular implant in total hip replacement preoperative planning

Azrulhizam Shapi`i, Riza Sulaiman, Mohammad Khatim Hasan, Anton Satria Prabuwono, Abdul Yazid Mohd Kassim, Hamzaini Abdul Hamid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Preoperative templating in Total Hip Replacement (THR) is a method to estimate the optimal size and the best position of the implant. Today, observational (manual) size recognition techniques are still used to find a suitable implant for the patient. Therefore, a digital and automated technique should be developed so that the implant size recognition process can be effectively implemented. For this purpose, we have introduced the new technique for acetabular implant size recognition in THR preoperative planning based on the diameter of acetabulum size. This technique enables the surgeon to recognise a digital acetabular implant size automatically based on the two points selected on the patient's acetabulum. Based on the testing result, the average time taken for the acetabular implant templating process in preoperative planning using a new automated technique was much less than using the digital line distance method.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages307-318
Number of pages12
Volume7066 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2011
Event2nd International Visual Informatics Conference, IVIC 2011 - Selangor
Duration: 9 Nov 201111 Nov 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7066 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Visual Informatics Conference, IVIC 2011
CitySelangor
Period9/11/1111/11/11

Fingerprint

Implant
Replacement
Planning
Testing
Time-average
Line
Estimate

Keywords

  • Acetabular
  • detection
  • implant
  • preoperative
  • size
  • total hip
  • Visual Informatics

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Shapi`i, A., Sulaiman, R., Hasan, M. K., Prabuwono, A. S., Mohd Kassim, A. Y., & Abdul Hamid, H. (2011). A new and improved size detection algorithm for acetabular implant in total hip replacement preoperative planning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 7066 LNCS, pp. 307-318). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7066 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-25191-7_30

A new and improved size detection algorithm for acetabular implant in total hip replacement preoperative planning. / Shapi`i, Azrulhizam; Sulaiman, Riza; Hasan, Mohammad Khatim; Prabuwono, Anton Satria; Mohd Kassim, Abdul Yazid; Abdul Hamid, Hamzaini.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7066 LNCS PART 1. ed. 2011. p. 307-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7066 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shapi`i, A, Sulaiman, R, Hasan, MK, Prabuwono, AS, Mohd Kassim, AY & Abdul Hamid, H 2011, A new and improved size detection algorithm for acetabular implant in total hip replacement preoperative planning. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 7066 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7066 LNCS, pp. 307-318, 2nd International Visual Informatics Conference, IVIC 2011, Selangor, 9/11/11. https://doi.org/10.1007/978-3-642-25191-7_30
Shapi`i A, Sulaiman R, Hasan MK, Prabuwono AS, Mohd Kassim AY, Abdul Hamid H. A new and improved size detection algorithm for acetabular implant in total hip replacement preoperative planning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 7066 LNCS. 2011. p. 307-318. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-25191-7_30
Shapi`i, Azrulhizam ; Sulaiman, Riza ; Hasan, Mohammad Khatim ; Prabuwono, Anton Satria ; Mohd Kassim, Abdul Yazid ; Abdul Hamid, Hamzaini. / A new and improved size detection algorithm for acetabular implant in total hip replacement preoperative planning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7066 LNCS PART 1. ed. 2011. pp. 307-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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