PRE-MORBID CHARACTERIZATION OF ANATOMICAL OBJECT USING ORTHOPEDIC ANATOMY SEGMENTATION USING HYBRID STATISTICAL SHAPE MODELING (SSM)
Techniques are described for determining a pre-morbid shape of an anatomical object. A method includes receiving first image data of a first anatomical structure and second image data of a second anatomical structure. The first and second anatomical structures are anatomically related. The method includes determining a first shape model based on the first image data and a joint statistical shape model (SSM). The method includes determining a second shape model based on the first shape model, the first image data, and the second image data, the second shape model including a second estimated shape of the first anatomical structure and a second estimated shape for the second anatomical structure. The method includes generating anatomical information indicative of the pre-morbid shape of at least the second anatomical structure based on the second shape model.
1 . A method for determining a pre-morbid shape of an anatomical object, the method comprising:
receiving first image data of a first anatomical structure and second image data of a second anatomical structure, the first and second anatomical structures being anatomically related;
determining a first estimated shape model based on the first image data and a joint statistical shape model (SSM), the first estimated shape model including a first estimated shape of the first anatomical structure and a first estimated shape for the second anatomical structure and the joint SSM is a shape model of combined first and second anatomical structures;
determining a second estimated shape model based on the first shape model, the first image data, and the second image data, the second shape model including a second estimated shape of the first anatomical structure and a second estimated shape for the second anatomical structure; and
generating anatomical information indicative of the pre-morbid shape of at least the second anatomical structure based on the second shape model.
2 . The method of claim 1 , further comprising:
determining a first aligned shape generated from the first image data and the second image data; and
determining respective distance and orientation difference values for each of a plurality of first shape models generated from the joint SSM, wherein each of the respective distance and orientation difference values is indicative of a difference in distance and orientation between respective first shape models and the first aligned shape,
wherein determining the first shape model of the first anatomical structure comprises selecting the first shape model from the plurality of first shape models having a cost value of the respective cost values that satisfies a function for the cost value, the cost value being based on the respective distance and orientation difference values.
3 . The method of claim 2 , wherein each of a plurality of first shape models includes a representation of the first anatomical structure and a representation of the second anatomical structure.
4 . The method of claim 1 , wherein generating the second estimated shape further comprises morphing the first estimated shape to the first image data and the second image data.
5 . The method of claim 1 , wherein the second image data includes a pathological portion and a non-pathological portion.
6 . The method of claim 1 , wherein the first image includes a greater percentage of data representative of the first anatomical object than the percentage of data in the second image representative of the second anatomical object.
7 . The method of claim 6 , wherein the second image data does not provide information to generate an aligned shape for the second anatomical structure without a second estimated shape selected based on the first shape model.
8 . The method of claim 1 , wherein the anatomical information includes a visual representation of at least one of an estimated pre-morbid shape of a humerus or an estimated pre-morbid shape of a scapula.
9 . The method of claim 1 , further comprising, based on the anatomical information, generating a surgical plan to correct a pathological state of at least one of a humerus or a scapula.
10 . The method of claim 1 , further comprising, based on the anatomical information, generating a representation of the first anatomical structure and the second anatomical structure to be displayed via a mixed-reality headset.
11 . An apparatus comprising:
memory storing a plurality of first shape models; and
processing circuitry configured to:
receive first image data of a first anatomical structure and second image data of a second anatomical structure, the first and second anatomical structures being anatomically related;
determine a first shape model based on the first image data and a joint statistical shape model (SSM), the first shape model including a first estimated shape of the first anatomical structure and a first estimated shape for the second anatomical structure and the joint SSM is a shape model of combined first and second anatomical structures;
determine a second shape model based on the first shape model, the first image data, and the second image data, the second shape model including a second estimated shape of the first anatomical structure and a second estimated shape for the second anatomical structure; and
generate anatomical information indicative of the pre-morbid shape of at least the second anatomical structure based on the second shape model.
12 . The apparatus of claim 11 , wherein the processing circuitry is further configured to:
determine a first aligned shape generated from the first image data and the second image data; and
determine respective distance and orientation difference values for each of a plurality of first shape models generated from the joint SSM, wherein each of the respective distance and orientation difference values is indicative of a difference in distance and orientation between respective first shape models and the first aligned shape,
wherein to determine the first shape model of the first anatomical structure, processing circuity is to select the first shape model from the plurality of first shape models having a cost value of the respective cost values that satisfies a function for the cost value, the cost value being based on the respective distance and orientation difference values.
13 . The apparatus of claim 12 , wherein each of a plurality of first shape models includes a representation of the first anatomical structure and a representation of the second anatomical structure.
14 . The apparatus of claim 11 , wherein generating the second estimated shape further comprises morphing the first estimated shape to the first image data and the second image data.
15 . The apparatus of claim 11 , wherein the second image data includes a pathological portion and a non-pathological portion.
16 . The apparatus of claim 11 , wherein the first image includes a greater percentage of data representative of the first anatomical object than the percentage of data in the second image representative of the second anatomical object.
17 . The apparatus of claim 16 , wherein the second image data does not provide information to generate an aligned shape for the second anatomical structure without a second estimated shape selected based on the first shape model.
18 . The apparatus of claim 11 , wherein the anatomical information includes a visual representation of at least one of an estimated pre-morbid shape of a humerus or an estimated pre-morbid shape of a scapula.
19 . The apparatus of claim 11 , wherein the processing circuitry is further configured to, based on the anatomical information, generate a surgical plan to correct a pathological state of at least one of a humerus or a scapula.
20 . The apparatus of claim 11 , wherein the processing circuitry is further configured to, based on the anatomical information, generate a representation of the first anatomical structure and the second anatomical structure to be displayed via a mixed-reality headset.
21 . A tangible computer readable medium comprising instructions that, when executed, cause processing circuitry to:
receive first image data of a first anatomical structure and second image data of a second anatomical structure, the first and second anatomical structures being anatomically related;
determine a first shape model based on the first image data and a joint statistical shape model (SSM), the first shape model including a first estimated shape of the first anatomical structure and a first estimated shape for the second anatomical structure and the joint SSM is a shape model of combined first and second anatomical structures;
determine a second shape model based on the first shape model, the first image data, and the second image data, the second shape model including a second estimated shape of the first anatomical structure and a second estimated shape for the second anatomical structure; and
generate anatomical information indicative of the pre-morbid shape of at least the second anatomical structure based on the second shape model.
22 . The computer readable medium of claim 21 , wherein the instructions, when executed, further cause the processing circuitry to:
determining a first aligned shape generated from the first image data and the second image data; and
determining respective distance and orientation difference values for each of a plurality of first shape models generated from the joint SSM, wherein each of the respective distance and orientation difference values is indicative of a difference in distance and orientation between respective first shape models and the first aligned shape,
wherein determining the first shape model of the first anatomical structure comprises selecting the first shape model from the plurality of first shape models having a cost value of the respective cost values that satisfies a function for the cost value, the cost value being based on the respective distance and orientation difference values.