View source for 18521863. SYSTEMS AND METHODS OF CONTINUOUS REGISTRATION FOR IMAGE-GUIDED SURGERY simplified abstract (Intuitive Surgical Operations, Inc.)

=SYSTEMS AND METHODS OF CONTINUOUS REGISTRATION FOR IMAGE-GUIDED SURGERY=


==Organization Name==

[[:Category:Intuitive Surgical Operations, Inc.|Intuitive Surgical Operations, Inc.]]


[[Category:Intuitive Surgical Operations, Inc.]]

==Inventor(s)==

[[:Category:Timothy D. Soper of San Jose CA (US)|Timothy D. Soper of San Jose CA (US)]][[Category:Timothy D. Soper of San Jose CA (US)]]

[[:Category:Vincent Duindam of San Francisco CA (US)|Vincent Duindam of San Francisco CA (US)]][[Category:Vincent Duindam of San Francisco CA (US)]]

==SYSTEMS AND METHODS OF CONTINUOUS REGISTRATION FOR IMAGE-GUIDED SURGERY - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18521863 titled 'SYSTEMS AND METHODS OF CONTINUOUS REGISTRATION FOR IMAGE-GUIDED SURGERY

==Simplified Explanation==

The patent application describes methods and systems for registering a model of anatomic passageways of a patient to a patient space. This involves accessing model points of the passageways, collecting measured points along a catheter inserted into the passageways, and registering subsets of points to produce optimal registration candidates.

* Model points of anatomic passageways are accessed.
* Measured points along a catheter inserted into the passageways are collected.
* Points are assigned to subsets and registered with model points.
* Optimal subset for registration is identified for translating model points and measured points into a common space.

== Potential Applications ==
This technology could be applied in medical imaging, surgical planning, and navigation systems for procedures involving anatomic passageways.

== Problems Solved ==
This technology solves the problem of accurately registering a model of patient passageways with measured points from a catheter, improving the precision and efficiency of medical procedures.

== Benefits ==
The benefits of this technology include improved accuracy in navigating anatomic passageways, enhanced surgical planning, and potentially reducing the risk of complications during procedures.

== Potential Commercial Applications ==
Potential commercial applications of this technology include medical device development, healthcare software solutions, and integration into existing medical imaging systems.

== Possible Prior Art ==
One possible prior art for this technology could be image-guided surgery systems that involve registering preoperative images with intraoperative data to assist surgeons during procedures.

=== Unanswered Questions ===

=== How does this technology compare to existing registration methods in terms of accuracy and efficiency? ===
This article does not provide a direct comparison between this technology and existing registration methods. Further research or testing would be needed to determine the comparative advantages of this innovation.

=== What are the potential limitations or challenges in implementing this technology in real-world medical settings? ===
The article does not address potential limitations or challenges in implementing this technology. Factors such as cost, training requirements, and compatibility with existing medical systems could be important considerations for adoption in clinical practice.


==Original Abstract Submitted==

Methods and systems of registering a model of one or more anatomic passageways of a patient to a patient space are provided herein. An exemplary method may include accessing a set of model points of the model of the passageways, the model points being associated with a model space, collecting measured points along a length of a catheter inserted into the passageways of the patient, the measured points determined by a shape of the catheter, and assigning points of the first set to a plurality of subsets. The exemplary method may further include registering each of the subsets with the model points to produce a plurality of registration candidates, comparing the candidates to identify an optimal subset associated with an optimal registration of the plurality of candidates that translates the set of model points and at least one set of the sets of measured points into a common space.



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